> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wherobots.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Changelog

> Product updates and announcements from Wherobots

<Update label="May 5, 2026" description="AWS us-east-2 (Ohio) Region Support" tags={["Paid Organization"]}>
  ### AWS us-east-2 (Ohio) Region Support

  Paid Organizations can now deploy their Wherobots compute environments and manage resources within the AWS `us-east-2` (Ohio) region.

  **Benefits:**

  * **Lower Latency**: Deploy closer to your users and data sources
  * **Architectural Flexibility**: Build geographically distributed applications

  [Create a notebook in the AWS us-east-2 Region](https://cloud.wherobots.com)

  <Note>
    **Ohio AWS Region Support is limited to Paid Organizations**

    Deployment in the `us-east-2` (Ohio) region requires a Professional or Enterprise Organization. Community Edition is limited to `us-west-2`.
  </Note>
</Update>

<Update label="April 8, 2026" description="Wherobots CLI" tags={["New Feature", "CLI", "Public Preview"]}>
  ### Wherobots CLI now available in Public Preview

  The [Wherobots CLI](/develop/cli) is a session lifecycle management tool for Wherobots Cloud.

  Use it directly from your terminal to submit jobs, stream logs, monitor resource usage, and manage workloads across their full lifecycle.

  The Wherobots CLI is designed to work with agentic coding terminals like **OpenCode**, **Claude Code**, and other AI-powered terminals, so you can manage session lifecycles using natural language.

  #### Key capabilities

  * **Agentic terminal support:** Use the CLI from AI-powered terminals to manage job lifecycles, stream logs, and access the full API with [natural language](/develop/cli-agentic-usage).
  * **Session lifecycle management:** Create Job runs, monitor their status, stream logs in real time, check resource metrics, and cancel or clean up sessions, all without leaving your terminal.
  * **API access:** API endpoints are available as CLI commands, generated dynamically from the OpenAPI specification. Use `wherobots api --tree` to explore.
  * **Automation-friendly output:** Switch between human-readable table output and JSON output to integrate the CLI into shell scripts, CI/CD pipelines, and orchestration tools.
  * **Dry-run mode:** Use the `--dry-run` flag to preview the equivalent `curl` command before executing any request.

  #### Get started

  Review the [CLI documentation](/develop/cli) for installation instructions, authentication setup, and usage examples, or see [Agentic terminal usage](/develop/cli-agentic-usage) to get started with natural language job management.
</Update>

<Update label="April 1, 2026" description="SAM3 Text-Prompted Object Detection" tags={["RasterFlow", "New Feature", "Private Preview"]}>
  ### SAM3 Text-Prompted Object Detection in RasterFlow

  RasterFlow now supports [Meta's Segment Anything Model 3 (SAM3)](https://ai.meta.com/research/sam3/) for text-prompted geometry inference. Given a natural language prompt like `"roofs"` or `"swimming pools"`, SAM3 detects objects in aerial imagery and returns georeferenced vector geometries or bounding boxes with confidence scores.

  Unlike segmentation models that produce raster outputs, SAM3 directly outputs vector geometries, making it straightforward to integrate results into geospatial workflows.

  **Two model recipes are available:**

  * **`SAM3_TEXT_BBOX`** — Detect objects and produce georeferenced bounding box geometries
  * **`SAM3_TEXT_GEOMETRY`** — Detect objects and produce georeferenced polygon geometries

  Both recipes are configured to use NAIP imagery at 30cm resolution.  See [this map](https://esri.maps.arcgis.com/apps/mapviewer/index.html?webmap=6cc0dcb225de4cb8aaa23c6a9cb59db8) for coverage information. Multiple text prompts can be passed simultaneously to detect several object types at once.

  <Accordion title="RasterFlow Private Preview Access" icon="key">
    RasterFlow is currently in Private Preview. Wherobots is rolling out RasterFlow to a select group of Organizations. If you are interested in gaining early access to these new capabilities and helping shape the future of the product, [register your interest here](https://wherobots.com/rasterflow-preview/).
  </Accordion>

  **Learn more:** See the [Detecting Objects From Text Prompts with RasterFlow](/tutorials/example-notebooks/rasterflow-sam3) tutorial for a step-by-step walkthrough using SAM3 to detect rooftops in College Park, Maryland.
</Update>

<Update label="March 18, 2026" description="Raster Inference Deprecated in Favor of RasterFlow" tags={["Platform Update"]}>
  ### Raster Inference Deprecated in Favor of RasterFlow

  WherobotsAI Raster Inference has been deprecated and replaced by [RasterFlow](/develop/rasterflow/index), the next generation of raster ML inference on Wherobots. All Raster Inference tutorial pages now redirect to the RasterFlow overview.
</Update>

<Update label="March 11, 2026" description="WherobotsDB v2 is Now the Default" tags={["Platform Update", "Breaking Change"]}>
  ### WherobotsDB v2 is Now the Default Runtime

  DBv2 delivers a substantial improvement in price performance. DBv2 accelerates queries by up to 3x. We expect customers will see 20-30% better query price performance compared to DBv1.

  This new generation of the platform is also compatible with Apache Spark 4, and will be the default runtime version used in WherobotsDB moving forward

  Previously available as a preview, v2 is now the production default. The `"latest"` version parameter now resolves to the WherobotsDB v2 line.

  #### Faster Queries

  We measured DBv2 performance using SpatialBench and TPC-H benchmarks. Note the improvements compared to DBv1:

  | Benchmark                                                      | Peak improvement | Mean improvement |
  | :------------------------------------------------------------- | :--------------: | :--------------: |
  | **Spatial queries** (SpatialBench @ scale factor of 1000)      |       2.5x       |       1.9x       |
  | **Standard analytical queries** (TPC-H @ scale factor of 1000) |        3x        |       1.7x       |

  For a detailed breakdown of Spatial Unit (SU) consumption rates, see the [Runtime specification chart](/develop/runtimes#runtime-specifications-chart).

  <Note>
    Benchmarks were performed using a general purpose medium runtime.
  </Note>

  #### Better Price Performance

  This next generation of WherobotsDB offers significantly more horsepower per runtime, which will be reflected by an increase in spatial units (SUs) emitted per runtime hour when DBv2 is GA.

  After this adjustment, we expect customers to experience **20-30% better price performance**.

  #### Rollout plan

  The transition to WherobotsDB v2 as the default will be applied based on organization type and workload:

  | Scenario                               | Default version                                                                  |
  | :------------------------------------- | :------------------------------------------------------------------------------- |
  | **New Organizations**                  | v2 is the default for all workloads (Jobs and Notebooks)                         |
  | **Existing Organizations (Notebooks)** | Notebooks are pinned to the latest Wherobots version, which is now v2            |
  | **Existing Organizations (Jobs)**      | v2 is the default only if the Organization has not run a Job in the last 90 days |

  <Note>
    If your Organization has run a Job within the last 90 days, your Jobs will continue to use the v1 runtime by default. You can opt in to v2 by explicitly setting the `version` parameter in your Job Run or SQL Session API requests, or by updating your [Environment Preset](/develop/notebook-management/environment-presets).
  </Note>

  #### What you need to know

  * **Apache Spark 4.0 & Apache Hadoop 3.4:** v2 includes upgrades to Spark 4.0 and Hadoop 3.4. Review the [2.1.0 release notes](#spark-4-0-&-hadoop-3-4-upgrade) for breaking changes.
  * **Pinning a version:** You can pin to a specific v1 or v2 version using the `version` parameter in API requests or through [Environment Presets](/develop/notebook-management/environment-presets).
</Update>

<Update label="March 10, 2026" description="Direct Billing" tags={["Billing", "New Feature", "Platform Update"]}>
  ### Upgrade to Professional Edition with Direct Billing

  Getting started with a paid Wherobots Organization just got simpler.

  You can now upgrade directly in Wherobots Cloud using a credit card or bank account — no AWS Marketplace subscription required.

  #### Why this matters

  Teams that don't use AWS, or prefer to keep their Wherobots billing separate, can now go from Community to Professional in minutes.

  <Accordion title="Key features of Direct Billing" icon="credit-card">
    * **Two upgrade paths:** Choose [Direct Billing](/get-started/upgrade-organization/) for a streamlined experience billed by Wherobots, or continue using the [AWS Marketplace](/get-started/upgrade-organization/) if that fits your workflow.
    * **Self-service cancellation:** Cancel your Organization directly from [Organization Settings > Billing](https://cloud.wherobots.com/organization#billing) at any time.
    * **Invoice management:** Invoices are emailed to your configured billing contact and accessible to any Admin via [View Invoicing](https://cloud.wherobots.com/organization#billing).
    * **Billing contact flexibility:** Set an individual email or a team alias (e.g., `billing@yourcompany.com`) as your billing contact.
  </Accordion>

  Ready to upgrade your Community Edition Organization? Go to [**Organization Settings > Billing**](https://cloud.wherobots.com/organization#billing).

  #### Switching billing methods

  For more information on switching between Direct Billing and AWS Marketplace, see [Change Your Billing Method](/get-started/organization-management/change-billing-method).
</Update>

<Update label="March 9, 2026" description="Wherobots VS Code Extension" tags={["New Feature", "Wherobots VS Code Extension", "Public Preview"]}>
  ### Wherobots VS Code Extension now available

  The [Wherobots VS Code Extension](https://marketplace.visualstudio.com/items?itemName=wherobots.wherobotsjobsubmit) turns VS Code and any Code OSS-based editors into an agentic geospatial engineering workspace. The extension also supports [Kiro](https://kiro.dev/) by Amazon for users who have given Kiro access to their GitHub Copilot account.

  <Frame caption="Wherobots VS Code Extension in the Visual Studio Marketplace">
    <img src="https://mintcdn.com/wherobots/sQRlg2xOr4yRMlZ8/develop/vscode-extension/images/vscode-extension-page.png?fit=max&auto=format&n=sQRlg2xOr4yRMlZ8&q=85&s=eaabcb7e7ea61ec59b0f1f533b9d0d01" alt="Wherobots VS Code Extension" width="3024" height="876" data-path="develop/vscode-extension/images/vscode-extension-page.png" />
  </Frame>

  Now with the extension in Public Preview, all Organizations can install the extension and run local notebooks against Wherobots compute. Professional and Enterprise Organizations can additionally use the Wherobots MCP-powered spatial query execution, AI-assisted workflows, additional compute tiers, and job submission without leaving their editor.

  #### Install the extension from the command line

  Install the extension by running one of the following commands in your terminal or by installing directly from the marketplace for your editor:

  <CodeGroup>
    ```bash VS Code theme={"system"}
    code --install-extension wherobots.wherobotsjobsubmit
    ```

    ```bash Kiro theme={"system"}
    kiro --install-extension Wherobots.wherobotsjobsubmit
    ```

    ```bash Cursor theme={"system"}
    cursor --install-extension Wherobots.wherobotsjobsubmit
    ```

    ```bash Windsurf theme={"system"}
    windsurf --install-extension Wherobots.wherobotsjobsubmit
    ```

    ```bash Positron theme={"system"}
    positron --install-extension Wherobots.wherobotsjobsubmit
    ```

    ```bash Antigravity theme={"system"}
    antigravity --install-extension Wherobots.wherobotsjobsubmit
    ```

    ```bash Trae theme={"system"}
    trae --install-extension Wherobots.wherobotsjobsubmit
    ```

    ```bash VS Codium theme={"system"}
    codium --install-extension Wherobots.wherobotsjobsubmit
    ```
  </CodeGroup>

  <Tip>
    If your editor prompts you to install a missing dependency extension (e.g., Jupyter), click **Install and Reload** to install it and reload the window. The Wherobots extension depends on other extensions that may not be pre-installed in all editors.
  </Tip>

  <CodeGroup>
    ```markdown Visual Studio Marketplace theme={"system"}
    https://marketplace.visualstudio.com/items?itemName=wherobots.wherobotsjobsubmit
    ```

    ```markdown Open VSX (Code OSS-based editors) theme={"system"}
    https://open-vsx.org/extension/Wherobots/wherobotsjobsubmit
    ```
  </CodeGroup>

  Review the [installation guide](/develop/vscode-extension/setup) to finish the setup.

  #### Key capabilities

  * **Accelerated notebook development:** Instead of starting from scratch, use Copilot to [generate entire notebooks with natural language prompts](/develop/vscode-extension/notebooks).
  * **Run notebooks on Wherobots compute:** Execute these generated notebooks using Wherobots compute, without leaving your editor.
  * **MCP-powered spatial Q\&A:** Query data catalogs and empower your AI assistants to execute spatial SQL and Python workflows via the automatically configured [Wherobots MCP Server](/develop/mcp/mcp-server-setup).
  * **Notebook lifecycle management:** [Create, start, stop, and manage workspaces](/develop/vscode-extension/workspaces) from your editor's sidebar, with access to the Spark UI and Jupyter URLs.
  * **Job submission:** [Submit `.py` files as cloud job runs](/develop/vscode-extension/jobs) with configurable runtime, region, timeout, and arguments -- including inline job configuration via Python comments.
</Update>

<Update label="February 4, 2026" description="Private Preview" tags={["RasterFlow", "Paid Organization", "New Feature"]}>
  ### RasterFlow now available in Private Preview

  [Wherobots RasterFlow](/develop/rasterflow) is an inference engine for large-scale raster processing and geospatial machine learning workflows.

  Build mosaics from multiple raster data sources, run inference with computer vision models, and vectorize results.

  <Accordion title="RasterFlow Private Preview Access" icon="key">
    RasterFlow is currently in Private Preview. Wherobots is rolling out RasterFlow to a select group of Organizations. If you are interested in gaining early access to these new capabilities and helping shape the future of the product, [register your interest here](https://wherobots.com/rasterflow-preview/).
  </Accordion>

  #### Supported models

  Currently, four pre-trained models are available in RasterFlow for different geospatial use cases: **Fields of the World**, **Tile2Net**, **Meta CHM v1**, and **ChesapeakeRSC**.

  We have created notebooks demonstrating how to use these models for real-world applications. Click the links below to try these notebooks out in Wherobots Cloud!

  <CardGroup cols={2}>
    <Card title="Agricultural Field Mapping" img="https://mintcdn.com/wherobots/hZ0Q3FD-ZiZ77RPz/images/changelog/ftw-thumb.jpg?fit=max&auto=format&n=hZ0Q3FD-ZiZ77RPz&q=85&s=b91b0648ed7cf562b09d2538596f5e2d" href="https://cloud.wherobots.com/model-hub/fields-of-the-world" width="512" height="288" data-path="images/changelog/ftw-thumb.jpg">
      Detect field boundaries from Sentinel-2 imagery and segment crop fields across regions using the Fields of the World model
    </Card>

    <Card title="Urban Infrastructure Detection" img="https://mintcdn.com/wherobots/hZ0Q3FD-ZiZ77RPz/images/changelog/tile2net-thumb.jpg?fit=max&auto=format&n=hZ0Q3FD-ZiZ77RPz&q=85&s=8330e958e0a14636d5572130e9a85089" href="https://cloud.wherobots.com/model-hub/tile2net" width="512" height="289" data-path="images/changelog/tile2net-thumb.jpg">
      Identify sidewalks, crosswalks, and pedestrian pathways from high-resolution aerial imagery using the Tile2Net model
    </Card>

    <Card title="Canopy Height Estimation" img="https://mintcdn.com/wherobots/hZ0Q3FD-ZiZ77RPz/images/changelog/chm-thumb.jpg?fit=max&auto=format&n=hZ0Q3FD-ZiZ77RPz&q=85&s=af2c194cf4fc9685b62c69f1be4b045d" href="https://cloud.wherobots.com/model-hub/canopy-height" width="512" height="288" data-path="images/changelog/chm-thumb.jpg">
      Predict tree canopy heights from aerial imagery to monitor forest health and vegetation structure using the Meta CHM v1 model
    </Card>

    <Card title="Rural Road Detection" img="https://mintcdn.com/wherobots/hZ0Q3FD-ZiZ77RPz/images/changelog/chesapeakersc-thumb.jpg?fit=max&auto=format&n=hZ0Q3FD-ZiZ77RPz&q=85&s=6cbe4f71bd81a874f2bf865a5a4d8887" href="https://cloud.wherobots.com/model-hub/chesapeake-rsc" width="512" height="288" data-path="images/changelog/chesapeakersc-thumb.jpg">
      Identify roads in rural environments and map road networks using the ChesapeakeRSC model
    </Card>
  </CardGroup>

  #### Key capabilities

  * **Planetary-scale processing:** Process raster data at massive scale with optimized chunking, sharding, and parallel processing
  * **Simple, high-level API:** Abstract away the complexity with pre-configured datasets and models—or bring your own
  * **Build mosaics:** Combine multiple raster datasets into unified, analysis-ready mosaics
  * **Run model inference:** Apply machine learning models to massive raster datasets at scale
  * **Vectorize results:** Convert raster predictions into vector geometries for spatial analysis
</Update>

<Update label="December 24, 2025" description="Wherobots MCP Server" tags={["New Feature", "MCP", "Paid Organization"]}>
  ### Wherobots MCP Server now available for public preview

  Transform your spatial data workflow with SQL generation available right inside VS Code!

  Focus on your analysis rather than syntax. With the Wherobots MCP Server, you can explore data catalogs and turn plain text descriptions into executable spatial SQL directly within your code editor.

  **Key Features:**

  * **Natural Language Queries:** Turn plain text descriptions into valid spatial SQL.
  * **Organization Access:** Available for Professional and Enterprise Organizations. Usage is tracked as SQL Sessions in your [Workload History](https://cloud.wherobots.com/workloads).
  * **Integrated Workflow:** Draft, execute, and iterate on your spatial SQL without leaving the VS Code environment.
  * **Quick Setup:** [Set up the MCP Server](/develop/mcp/mcp-server-setup) and get started in minutes.
  * **Usage Guide:** Review the [MCP Server usage guide](/develop/mcp/mcp-server-usage) for best practices, more example prompts, and cost considerations.

  **Here are some interesting prompts to try:**

  * "What catalogs are available in my Organization?"
  * "What data sources should I use to analyze road networks in the US?"
  * "Write a SQL query to find all burger restaurants within 5 miles of downtown San Francisco."

  We'd love to hear from you! This is an early preview, and your feedback will shape the future of this feature. Share your experience at [support@wherobots.com](mailto:support@wherobots.com) or [schedule time with our product team](https://calendly.com/pouyan-wherobots/30min?month=2026-01).
</Update>

<Update label="December 16, 2025" description="Workload History" tags={["New Feature", "Enhancement", "Paid Organization"]}>
  ### Job Runs section is now Workload History

  The **Job Runs** section in Wherobots Cloud has been renamed and expanded to **Workload History**, providing unified monitoring for all compute workloads
  across your Wherobots Organization.

  **What's new:**

  * **Unified view:** Monitor Notebooks, SQL Sessions, and Job Runs in a single interface
  * **Enhanced filtering:** Filter by time range, owner, region, and workload type
  * **Usage visualization:** View quota consumption over time with an interactive chart
  * **Execution logs:** Access detailed logs for debugging and troubleshooting directly in the UI with search, copy, and download capabilities

  **Key Features:**

  * Filter workloads by name, ID, owner, region, or type
  * View detailed metrics including duration, CPU utilization, memory usage, cost, and Spatial Units consumed
  * Access real-time execution logs with search functionality
  * Compare performance across different runtime configurations
  * Cancel running workloads directly from the interface
  * View estimated costs and Spatial Units consumed for each workload

  [View Workload History](https://cloud.wherobots.com/workloads) in Wherobots Cloud to get started!
</Update>

<Update label="December 1, 2025" description="Wherobots 2.1.0" tags={["Breaking Change", "Platform Update"]}>
  ### Spark 4.0 & Hadoop 3.4 Upgrade

  This release introduces significant infrastructure upgrades to Spark 4.0 and Hadoop 3.4. Please review the breaking changes below to ensure workflow continuity.

  <Note>
    This functionality is exclusive to version 2.X of the runtime, which is currently in preview.

    To access these changes, you must enable the **Preview WherobotsDB 2.0** checkbox in [Wherobots Cloud](https://cloud.wherobots.com) when starting your notebook.
  </Note>

  **Upgrade to Spark 4.0**

  * **ANSI SQL Enabled by Default:** The default SQL model has changed to ANSI SQL.
    * **Action Required:** Review and migrate existing SQL queries to ensure compliance with ANSI standards.
  * **Third-Party JAR Updates:** Existing data source JARs may no longer be compatible.
    * **Action Required:** Replace current jars with versions that support Spark 4.

  **Upgrade to Hadoop 3.4**

  * **Hadoop JAR Updates:** Third-party Hadoop libraries require updates.
    * **Action Required:** Replace current jars with versions that support Hadoop 3.4.
</Update>

<Update label="November 3, 2025" description="Version 1.11.7/2.0.8" tags={["WherobotsDB", "New Feature"]}>
  ### WherobotsDB Introduces Spatial Support on Iceberg Views

  WherobotsDB now provides spatial support for Apache Iceberg views, enabling you to leverage spatial functions and operations directly on view definitions.
</Update>

<Update label="November 26, 2025" description="Versions 2.0.9 and 1.11.8" tags={["WherobotsDB", "Enhancement"]}>
  ### System Improvements and Performance Enhancements

  This release includes general system improvements, performance enhancements, and backend stability updates. No breaking changes were introduced.
</Update>

<Update label="October 28, 2025" description="Enhanced SSO Methods and Passkeys" tags={["New Feature", "Security"]}>
  ### Enhanced SSO Methods and Passkeys

  We have overhauled our authentication system to provide more flexible and secure ways to access Wherobots Cloud.

  **New login methods:**

  * **Google** account login
  * **GitHub** account login
  * **Passkeys**: Register with passkeys for faster and more secure sign-in using device biometrics or screen lock

  <Note>
    **Action Required for SSO Users**

    If you have previously configured Single Sign-On (SSO) for your organization, you **must re-configure it** following this update. Navigate to the [**Security**](https://cloud.wherobots.com/organization#security) page to set up SSO again.
  </Note>
</Update>

<Update label="October 28, 2025" description="Multi-Organization Support" tags={["New Feature"]}>
  ### Multi-Organization Support

  A single user account can now belong to multiple Wherobots organizations with no limit on the number of organizations you can join or manage.

  Additionally, you can now change your first and last name within your user profile.

  **Available in all editions:** Community, Professional, and Enterprise
</Update>

<Update label="October 22, 2025" description="Versions 2.0.7 and 1.11.6" tags={["WherobotsDB", "Enhancement"]}>
  ### System Improvements and Performance Enhancements

  This release includes general system improvements, performance enhancements, and backend stability updates. No breaking changes were introduced.
</Update>

<Update label="October 16, 2025" description="New Medial Axis and Straight Skeleton Functions" tags={["WherobotsDB", "New Feature"]}>
  ### New Functions: ST\_ApproximateMedialAxis and ST\_StraightSkeleton

  We have introduced two new spatial SQL functions for advanced geometry processing:

  * [**`ST_ApproximateMedialAxis`**](/reference/wherobots-db/geometry-data/processing/ST_ApproximateMedialAxis): Computes an approximate medial axis of polygonal geometries, useful for extracting skeletons from shapes, road centerlines, or river networks.
  * [**`ST_StraightSkeleton`**](/reference/wherobots-db/geometry-data/processing/ST_StraightSkeleton): Computes the straight skeleton or "centerline" of a polygon. This centerline is useful in roof modeling, map generalization, and shape analysis.
</Update>

<Update label="October 16, 2025" description="Versions 2.0.6 and 1.11.5" tags={["WherobotsDB", "Enhancement"]}>
  ### System Improvements and Performance Enhancements

  This release includes general system improvements, performance enhancements, and backend stability updates. No breaking changes were introduced.
</Update>

<Update label="October 08, 2025" description="Versions 2.0.5 and 1.11.4" tags={["WherobotsDB", "Enhancement"]}>
  ### System Improvements and Performance Enhancements

  This release includes general system improvements, performance enhancements, and backend stability updates. No breaking changes were introduced.
</Update>

<Update label="September 17, 2025" description="AWS ap-south-1 (Mumbai)" tags={["Paid Organization"]}>
  ### AWS ap-south-1 (Mumbai) Region Support

  Paid Organizations can now deploy their Wherobots compute environments and manage resources within the AWS `ap-south-1` (Mumbai) region.

  **Benefits:**

  * **Lower latency**: Deploy closer to users, data sources, or endpoints in India and South Asia
  * **Architectural flexibility**: Build geographically distributed applications for South Asia

  [Create a notebook in the Mumbai Region](https://cloud.wherobots.com)

  <Note>
    **Mumbai AWS Region Support is limited to Paid Organizations**

    Deployment in the `ap-south-1` (Mumbai) region requires a Professional or Enterprise Organization. Community Edition is limited to `us-west-2`.
  </Note>
</Update>

<Update label="September 04, 2025" description="Versions 2.0.4 and 1.11.3" tags={["WherobotsDB", "Enhancement"]}>
  ### System Improvements and Performance Enhancements

  This release includes general system improvements, performance enhancements, and backend stability updates. No breaking changes were introduced.
</Update>

<Update label="September 4, 2025" description="Data Federation for Databricks Unity Catalog" tags={["New Feature", "Paid Organization"]}>
  ### Data Federation for Databricks Unity Catalog

  Customers can now securely connect Wherobots to their governed datasets in Unity Catalog within our Wherobots' new [**Data Hub**](https://cloud.wherobots.com/data-hub).

  With this capability, Paid Wherobots Organizations can connect their Unity Catalog tables to Wherobots high-performance compute and spatial ETL, without copying or moving data.

  **Benefits:**

  * Zero-Copy architecture: Read tables managed by Unity Catalog without moving or duplicating data
  * Maintained governance: Databricks Workspace Admins retain catalog- and table-level access control
  * Secure federation: Connect securely using Databricks authentication credentials
  * Accelerated innovation: Use Wherobots' 300+ spatial functions, raster inference, and compute on Unity Catalog data

  **Key features:**

  * Direct Unity Catalog connection from Wherobots Data Hub
  * Full read and write operations on Managed Iceberg tables
  * Read access to Delta Lake tables
  * Advanced Spatial analytics with 300+ spatial functions

  <Callout title="Limited to Paid Organizations" type="tip">
    Only Professional and Enterprise Edition Organizations can use the Databricks Unity Catalog Integration. Community Edition Organizations are limited to Wherobots-managed catalogs and open datasets.
  </Callout>

  [Connect Wherobots to Databricks Unity Catalog](/get-started/initial-storage/connect-to-unity-catalog)
</Update>

<Update label="August 20, 2025" description="Versions 2.0.3 and 1.11.2" tags={["WherobotsDB", "Enhancement"]}>
  ### System Improvements and Performance Enhancements

  This release includes general system improvements, performance enhancements, and backend stability updates. No breaking changes were introduced.
</Update>

<Update label="August 2025" description="Enhanced Accuracy for ST_Transform (v1.11.1 / v2.0.1-preview)" tags={["WherobotsDB", "Enhancement"]}>
  ### Enhanced Accuracy for ST\_Transform

  We've introduced an enhancement to the `ST_Transform` function to significantly improve the accuracy of Coordinate Reference System (CRS) transformations.

  The `ST_Transform` function now includes an optional `AOI` (Area of Interest) parameter. By specifying an `AOI`, the transformation process uses a relevant subset of local grid files, resulting in more precise and reliable CRS transformations for your geospatial data.

  This is especially beneficial for large-scale and high-precision mapping applications.

  **Example usage:**

  ```sql theme={"system"}
  SELECT ST_Transform(
    geom,
    'EPSG:4326',
    'EPSG:26910',
    '{"area_of_interest": "POLYGON((-122.5 37.7, -122.3 37.7, -122.3 37.8, -122.5 37.8, -122.5 37.7))"}'
  )
  FROM my_table;
  ```

  **Versions:** `1.11.1`, `2.0.1-preview`
</Update>

<Update label="July 30, 2025" description="GeoTools Upgrade, Python Path Standardization, and WKB Writer Update (v1.11.0 / v2.0.1-preview)" tags={["WherobotsDB", "Breaking Change"]}>
  ### GeoTools Upgrade, Python Path Standardization, and WKB Writer Update

  This release introduces several significant updates. No workflow impact is expected, but please submit a bug report if you encounter any issues.

  **Potentially Breaking Changes:**

  * **GeoTools Library Upgrade:** The GeoTools library has been upgraded from `v28.5` to `v33.1`. This could introduce changes in behavior for `ST_Transform` and various raster functions.
  * **Python Import Path Standardization:** Python import paths under `sedona.XXX` are now deprecated in favor of `sedona.spark.XXX`.
  * **WKB Writer Default Byte Order:** The default WKB writer byte order has changed to little-endian. This change might affect GeoParquet files, Havasu-Iceberg tables, and `ST_AsWKB` functions.

  **Submit a bug report:**

  * **Community Organizations:** Share your feedback in the `#vendor-wherobots` channel on the [Apache Sedona Discord](https://discord.com/invite/9A3k5dEBsY).
  * **Professional & Enterprise Organizations:** Send feedback to [support@wherobots.com](mailto:support@wherobots.com).

  **Versions:** `1.11.0`, `2.0.1-preview`
</Update>

<Update label="July 22, 2025" description="WherobotsDB 2.0 Preview (v2.0.0-preview / v2.0.1-preview)" tags={["WherobotsDB", "Public Preview"]}>
  ### WherobotsDB 2.0 Preview

  Accelerate common data operations such as filtering, aggregation, and join queries by up to 2x. Experience significantly faster and more efficient analysis of your non-spatial data, thanks to recent optimizations in our core engine.

  **How to enable the preview:**

  In [Wherobots Cloud](https://cloud.wherobots.com), select **Preview WherobotsDB 2.0** when starting a runtime, or set the `version` parameter to `"preview"` in Job Run and SQL Session API requests.

  We encourage you to enable the preview, run your typical workloads, and share your feedback with us.

  **Version:** `2.0.0-preview`
</Update>

<Update label="July 15, 2025" description="Dekart Integration" tags={["New Feature"]}>
  ### Dekart Integration

  Utilize **Wherobots'** compute directly within [**Dekart**](https://dekart.xyz/), an open-source platform that quickly creates rich, interactive map visualizations from spatial SQL queries.

  **Benefits:**

  * Go from Spatial SQL to an interactive map in seconds
  * Create up-to-date visualizations from large, dynamic datasets
  * Avoid proprietary lock-in with open-source architecture

  **Key Features:**

  * Direct authentication with Wherobots API keys
  * Query with Spatial SQL from Dekart interface
  * Instant visualization with Kepler.gl maps
  * Bring Your Own Data from AWS S3

  [Create a Dekart Workspace](https://dekart.xyz/)
</Update>

<Update label="July 3, 2025" description="Enhancing Isochrone and Reverse Geocoding (v1.10.3)" tags={["WherobotsDB", "Enhancement"]}>
  ### Enhancing Isochrone and Reverse Geocoding

  The backend data tables that power our **isochrone** and **reverse geocoding** functions have been updated to the latest versions from the **Overture Maps Foundation**.

  These tables will now **automatically keep themselves up-to-date** as new Overture data is released. This means your results will always be based on the freshest and most accurate global road network and place data available.

  **Version:** `1.10.3`
</Update>

<Update label="June 26, 2025" description="New Address Parsing and Standardization Functions (v1.10.2)" tags={["WherobotsDB", "New Feature"]}>
  ### New Address Parsing and Standardization Functions

  This release introduces two powerful Spatial SQL functions for address data processing, based on the `libpostal` library:

  * **`ExpandAddress`**: Normalizes and expands address strings into their canonical forms (e.g., "st" becomes "street," "apt" becomes "apartment")
  * **`ParseAddress`**: Breaks down a single address string into its individual components (house number, street, city, state, postcode)

  **Version:** `1.10.2`
</Update>

<Update label="June 20, 2025" description="Hadoop Dependency Update (v1.10.1)" tags={["WherobotsDB", "Enhancement"]}>
  ### Hadoop Dependency Update

  We have upgraded Wherobots' Hadoop dependency from version `3.3.4` to `3.3.6` to enhance platform stability and security.

  **Version:** `1.10.1`
</Update>

<Update label="June 11, 2025" description="Security Updates and Scala 2.13 Migration (v1.10.0)" tags={["WherobotsDB", "Breaking Change"]}>
  ### Security Updates and Scala 2.13 Migration

  This update focuses on enhancing the stability and security of the Wherobots Cloud platform.

  **Breaking Change - Migration to Scala 2.13:**

  To ensure future compatibility with Apache Spark 4, we've updated WherobotsDB's Scala version from 2.12 to 2.13.

  **Who is affected:**

  * Customers who compile and deploy custom Scala applications or UDFs as `.jar` files
  * Users of the Scala kernel for Scala notebooks

  **Required action:**

  * Update your build environment to use a Scala `2.13.x` compiler
  * Update all dependencies from their `_2.12` versions to their `_2.13` versions
  * Recompile your project to produce a new `.jar` file compatible with Scala 2.13

  **Other improvements:**

  * Bug fixes for improved performance and reliability
  * Dependency security updates with latest patches

  **Version:** `1.10.0`
</Update>

<Update label="May 28, 2025" description="Stability and Security Enhancements (v1.9.2)" tags={["WherobotsDB", "Enhancement"]}>
  ### Stability and Security Enhancements

  Bug fixes and dependency security updates to improve overall performance, reliability, and security of WherobotsDB.

  **Version:** `1.9.2`
</Update>

<Update label="May 14, 2025" description="Vectorized Python UDFs and OSM Data Support (v1.9.0)" tags={["WherobotsDB", "New Feature"]}>
  ### Vectorized Python UDFs and OSM Data Support

  * **New Feature:** Added support for vectorized User Defined Functions (UDFs) in Python
  * **New Feature:** Introduced a parser for OpenStreetMap (OSM) nodes data within the OSM PBF reader
  * **Improvement:** Enhanced error messaging for invalid geometries during tile generation

  **Version:** `1.9.0`
</Update>

<Update label="May 14, 2025" description="Java 17, GDAL 3.8.4, Spark 3.5.5 & Ubuntu 24.04 (v1.9.0)" tags={["WherobotsDB", "Platform Update", "Breaking Change"]}>
  ### Java 17, GDAL 3.8.4, Spark 3.5.5 & Ubuntu 24.04

  **Platform upgrades:**

  * Operating System: Upgraded from Ubuntu 22.04 to 24.04 LTS
  * GDAL: Upgraded from version 3.4.1 to 3.8.4
  * Java: Standardized on Java 17 (LTS), moving from Java 19
  * Spark: Updated from 3.5.4 to 3.5.5

  **Expected breaking changes:**

  * **Java 17 (LTS):** Custom code, UDFs, or JAR files compiled for Java 19 will need recompilation using Java 17 SDK
  * **GDAL 3.8.4:** May alter behavior of certain geospatial functions. Review [GDAL release notes](https://github.com/OSGeo/gdal/releases) for versions 3.5-3.8

  **Version:** `1.9.0`
</Update>

<Update label="May 7, 2025" description="AWS us-east-1 (N. Virginia) Region Support" tags={["Paid Organization"]}>
  ### AWS us-east-1 (N. Virginia) Region Support

  Paid Organizations can now deploy their Wherobots compute environments and manage resources within the AWS `us-east-1` (N. Virginia) region.

  **Benefits:**

  * **Lower Latency**: Deploy closer to US East Coast users and data sources
  * **Optimized AWS Ecosystem Integration**: Seamless integration with existing AWS resources in `us-east-1`
  * **Data Residency & Compliance**: Meet data residency requirements on the US East Coast
  * **Architectural Flexibility**: Build geographically distributed applications

  [Create a notebook in the N. Virginia Region](https://cloud.wherobots.com)
</Update>

<Update label="April 9, 2025" description="AWS eu-west-1 (Ireland) Region Support" tags={["Paid Organization"]}>
  ### EU Region Support (AWS eu-west-1)

  Our first compute region outside the United States! Workload capabilities are now available in AWS `eu-west-1` (Ireland).

  **Benefits:**

  * **Compliance**: Run notebook compute resources within the EU to aid in meeting GDPR and data sovereignty requirements
  * **Latency Reduction**: Potentially increase performance for data sources located in Europe
  * **Workflow Efficiency**: Set a default EU region for new notebooks

  **Key Features:**

  * Notebooks, Job Runs, and SQL Sessions can run in `eu-west-1`
  * Default Region Preference for Admins
  * Wherobots File System storage located within your selected region

  <Note>
    **EU Region Support is limited to Paid Organizations**

    Only Professional and Enterprise Edition Organizations can use `aws-eu-west-1`. Community Edition Organizations are limited to AWS `us-west-2`.
  </Note>
</Update>

<Update label="April 4, 2025" description="Platform Features" tags={["WherobotsAI", "New Feature", "Paid Organization"]}>
  ### SAM2 Support in WherobotsAI Raster Inference

  Wherobots is excited to announce enhancements to **WherobotsAI Raster Inference**, including the introduction of Text-Based Raster Detection & Segmentation.

  We've integrated support for Meta AI's **Segment Anything Model 2 (SAM2)** and Google DeepMind's **OWLv2** models for text-prompted inference.

  **New features:**

  * **`RS_Text_to_BBoxes`**: Text-prompted object detection returning bounding boxes, confidence scores, and labels
  * **`RS_Text_to_Segments`**: Text-prompted instance segmentation returning segmentation polygons, confidence scores, and labels

  **New example notebook:** Demonstrates detecting and segmenting airplanes in NAIP imagery using the simple text prompt "airplanes".

  <Accordion title="WherobotsAI Raster Inference Requires GPU Access">
    Access requires execution on **GPU-Optimized runtimes** within Wherobots Cloud. By default, GPU access is limited to **Professional and Enterprise Edition Organizations** who have requested and been granted access.

    Professional and Enterprise Organizations needing GPU access should submit a compute request to **[support@wherobots.com](mailto:support@wherobots.com)**.
  </Accordion>

  [Access Wherobots Cloud](https://cloud.wherobots.com/)
</Update>

<Update label="March 27, 2025" description="Audit Logs" tags={["New Feature", "Paid Organization"]}>
  ### Audit Logs

  Admins for Professional and Enterprise Organizations now have access to the Wherobots [**Audit Logs**](https://cloud.wherobots.com/organization/audit-logs) feature and its associated REST API endpoint.

  **Benefits:**

  * **Enhanced Security**: Monitor key activities to identify potential security risks
  * **Improved Accountability**: Track user actions and system events
  * **Operational Transparency**: Gain insights into resource usage
  * **Data Retention**: Use the API to preserve logs beyond Wherobots' 90-day retention period

  **Key Features:**

  * Comprehensive activity tracking across security, files, jobs, notebooks, organization, data, and runtimes
  * Intuitive UI with flexible filtering
  * On-demand CSV export from UI
  * Programmatic export via REST API
  * Admin-only access

  [View Audit Logs](https://cloud.wherobots.com/organization/audit-logs)
</Update>

<Update label="March 24, 2025" description="Travel Isochrones Functionality and Dataset" tags={["WherobotsDB", "New Feature", "Paid Organization"]}>
  ### Travel Isochrones Functionality and Dataset

  Professional and Enterprise Organizations now have access to `ST_Isochrone` and `ST_Isochrones` for generating travel time isochrones.

  We're also releasing the **Overture Places with Isochrones** dataset, which augments the original Overture Places dataset with columns defining the 5, 10, 15, and 20-minute travel time boundaries from each of 13.3 million US Places.

  **New Features:**

  * **`ST_Isochrone`**: Generate a single polygon representing the reachable area within a specified time
  * **`ST_Isochrones`**: Generate an array of polygons for multiple time limits
  * **Dataset Enrichment**: Overture Places enriched with 4 new isochrone geometry columns

  ```sql theme={"system"}
  -- ST_Isochrone Example
  ST_Isochrone(geometry, 1, 'car', false)

  -- ST_Isochrones Example
  ST_Isochrones(geometry, array(1, 1.5, 2), 'car', false, true)
  ```

  <Accordion title="Limited to Paid Organizations">
    Only Professional and Enterprise Edition Organizations have access to `ST_Isochrone`, `ST_Isochrones`, and the Overture Places with Isochrones dataset.
  </Accordion>
</Update>

<Update label="March 20, 2025" description="Job Run Monitoring" tags={["New Feature", "Paid Organization"]}>
  ### Job Run Monitoring

  Wherobots Cloud now provides integrated visualizations for [**Job Runs**](https://cloud.wherobots.com/job-runs), allowing you to monitor Job Run execution, resource usage, and configuration directly in the Wherobots Cloud platform for Paid Organization Tiers.

  **Key Features:**

  * Job Runs Summary View with status, trigger, duration, and details
  * Detailed information including consumption metrics (Spatial Units, CPU, Memory)
  * Filtering capabilities by name
  * Job Run cancellation directly from the UI
  * Configuration information display

  [Monitor Job Runs](https://cloud.wherobots.com/job-runs)
</Update>

<Update label="February 20, 2025" description="Idle Timeout for Notebooks" tags={["New Feature"]}>
  ### Idle Timeout for Notebooks

  Wherobots Cloud has a new **Idle Timeout** feature to help you better manage your notebook runtime resources and optimize costs.

  **Key Features:**

  * **Customizable Timeout**: Select 15 minutes, 45 minutes (default), or 120 minutes
  * **Persistent User Settings**: Your chosen setting is saved across sessions
  * **Automatic Kernel Termination**: Jupyter kernel terminates after idle period
  * **Notebook Instance Specific**: Only applies to Notebook Instances, not Job Runs

  [Start a Notebook](https://cloud.wherobots.com/notebooks)
</Update>

<Update label="January 29, 2025" description="STAC Reader for Wherobots" tags={["WherobotsDB", "New Feature"]}>
  ### STAC Reader for Wherobots

  The new **STAC Reader** data source loads STAC (SpatioTemporal Asset Catalog) items and collections directly into Sedona DataFrames.

  **Benefits:**

  * **Direct STAC Integration**: Access STAC-compliant catalogs directly in Wherobots workflows
  * **Performance Optimization**: Spatial and Temporal Filter Pushdown reduces data transfer and processing
  * **Flexible Data Access**: Connect via HTTP/HTTPS endpoint, S3-compatible object store, or local JSON file

  **Example usage:**

  ```python theme={"system"}
  df = sedona.read.format("stac").load("https://earth-search.aws.element84.com/v1/collections/sentinel-2-pre-c1-l2a")
  df.printSchema()
  df.show()
  ```

  [Read the STAC Reader Documentation](/reference/wherobots-db/vector-data/stac)
</Update>

<Update label="November 2024" description="Wherobots 1.4" tags={["WherobotsDB", "WherobotsAI", "New Feature", "Paid Organization"]}>
  ### 1.4 - A Major Leap Forward for Wherobots

  Wherobots 1.4 delivers significant advancements with a host of new features for **WherobotsDB** and **WherobotsAI**.

  **Key Features:**

  |               Feature               | Professional/Enterprise | Community |
  | :---------------------------------: | :---------------------: | :-------: |
  |   Job Run Automation with Airflow   |            ✅            |     ❌     |
  |    Amazon S3 Storage Integration    |            ✅            |     ❌     |
  |     WherobotsAI Raster Inference    |            ✅            |     ❌     |
  |          Reverse Geocoding          |            ✅            |     ✅     |
  |     Long-lived Token Management     |            ✅            |     ❌     |
  | Distributed K Nearest Neighbor Join |            ✅            |     ✅     |
  |      Spatial Join Optimizations     |            ✅            |     ✅     |
  |           GeoStats Toolbox          |            ✅            |     ✅     |

  **Amazon S3 Integration:** Accelerate spatial data product creation by using data directly from Amazon S3 public or private buckets, bypassing time-consuming data transfers.

  **Job Run Automation with Airflow:** Integrate Wherobots' geospatial processing into your Airflow workflows using the `WherobotsRunOperator`.

  **WherobotsAI Raster Inference:** Uses computer vision to gather insights from raster data at planetary scale (requires GPU-Optimized runtime for Paid Organizations).

  **AWS Marketplace Listing:** Create a new Professional Organization or upgrade through the [AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-ndy62v6hhwrne).

  **Long-lived Token Management:** Professional Edition Organization Administrators can use service principals for API authentication through long-lived tokens.
</Update>

<Update label="June 2024" description="Wherobots 1.3" tags={["WherobotsDB", "WherobotsAI"]}>
  ### Wherobots 1.3

  This major release includes:

  **WherobotsDB** - A scalable spatial analytics database system:

  * Spatial query engine: compatible with Apache Sedona
  * Havasu Iceberg data lake storage layer: compatible with Apache Iceberg
  * Vtiles: a scalable PMTiles-style vector tile generator

  **WherobotsAI** - A scalable AI and machine learning engine:

  * Raster inference: a scalable raster inference engine in SQL and Python
  * Map matching: a scalable map matcher for snapping massive GPS traces to the road network

  **Compatible with Apache Sedona 1.6.0**
</Update>

<Update label="March 2024" description="Wherobots 1.2" tags={["WherobotsDB"]}>
  ### Wherobots 1.2

  This major release includes:

  **WherobotsDB** - A scalable spatial analytics database system, powered by Havasu data lake format:

  * Spatial query engine: compatible with Apache Sedona
  * Havasu Iceberg data lake storage layer: compatible with Apache Iceberg

  **Compatible with Apache Sedona 1.5.1**
</Update>