For AI agents: the complete documentation index is available at https://docs.dataplatform.ovh.net/llms.txt, the full documentation bundle is available at https://docs.dataplatform.ovh.net/llms-full.txt, and this page is available as Markdown at https://docs.dataplatform.ovh.net/release-notes.md.
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    • Release notes

    Every Data Platform release, newest first.

    September 14, 2026

    General

    • Cookie consent: cookie preferences now use the standard OVHcloud consent manager, reachable at any time from the cookie icon in the header.
    • Fixes:
      • permission checks for project creation are corrected.
      • a clearer error page is shown when your session cannot be verified.

    Lakehouse Manager

    • Row filters: restrict which rows of a table a user or group can see, without duplicating the table. The table keeps one copy of its data, and each person queries it through their own filters.
      • Write the condition in the default builder mode (column, operator, value, combined with Match ALL (AND) or Match ANY (OR)), or switch to SQL mode for conditions the builder cannot express.
      • The impact panel reports how many rows the filter would keep and how many it would hide, before anyone is assigned to it.
      • Filters are enforced on Trino queries, so they cover Analytics Manager queries and dashboards and Trino consumers. A notebook reading through PySpark or PyIceberg, and direct storage access, are not filtered.
      • A filter can be saved inactive, switched on and off from the list, duplicated onto another table, and travels with a project configuration export.
    • Fixes:
      • deleting a project now also removes the dataset shares it granted, so a consumer project no longer lists a shared dataset whose source project is gone.

    Data Processing Engine

    • Spark job memory: Spark jobs now receive their full allotted memory, overhead included, which reduces out-of-memory failures.
    • Custom action logs: print() and standard error output from action code now show up in the job logs, and a missing action produces a clearer error message.
    • Spark UI and History: Spark applications now carry the job's name instead of a generic one.
    • Fixes:
      • stopping a job now terminates its Spark application.
      • a job whose pod crashes is detected and reported instead of hanging.
      • running jobs are no longer archived out of the job history.
      • jobs that finish while you watch them now appear correctly in executed jobs, and pipeline stages display reliably.
      • Iceberg table procedures such as expire_snapshots and remove_orphan_files work again in PySpark jobs.

    Analytics Manager

    • SQL editor autocomplete: the editor now suggests SQL keywords, ready-made snippets, and every available Trino function with its description.
    • Fixes:
      • the runtime shown in the query history is now formatted correctly.

    Control Center

    • Audit trail search: a new full-text search finds an event quickly, and the layout is clearer.

    Apps and API

    • App resources: each DPU allocated to an app now gives it 1 vCPU and 4 GB of RAM, matching the DPU definition. Apps previously received half of that. The change applies on the app's next restart.
    • Fixes:
      • a build that gets stuck now reports why, with a status message and an event log.
      • two builds of the same app can no longer run at the same time.
      • an application again has exactly one active version.

    August 31, 2026

    Lakehouse Manager

    • Views: save a SQL SELECT query as a named virtual table inside a dataset and query it like a table, with results always computed live from the source tables.
      • Columns are derived automatically from the SQL, which is validated on every create and edit with human-readable errors.
      • Views track their own Valid or Broken status: they are re-checked automatically when a source table changes and recover on their own once the source is restored.
      • Policy tags, dataset permissions, and the audit trail apply to views just like to tables, and views created by external tools are discovered automatically.
    • Filtered tabs: filtered views in the Tables section are renamed to filtered tabs, to avoid confusion with the new views.

    Data Processing Engine

    • Deduplicate action: new ready-to-use action to remove duplicate rows from a lakehouse or PostgreSQL table, keeping exactly one row per deduplication key.
      • The key is pre-filled from the table's identifier fields, a read-only scan previews how many rows a run would remove, and you choose which row survives (any, most recent, or oldest).
      • An optional backup table protects the run; on lakehouse tables a run can also be undone with Time Travel.
    • Parallel job runs: launching the same job several times in parallel is now safe: each run keeps its own data and results.
    • Spark History: the Spark application history is now reachable from older jobs too, not only the most recent ones.
    • Fixes:
      • when a job fails because a secret cannot be read, the actual cause is now shown instead of an opaque error.
      • the Rebuild action confirmation now shows the name of the table being rebuilt.

    August 24, 2026

    Lakehouse Manager

    • Lineage: a new built-in lineage view maps how data flows through your project, from the pipelines that feed each table down to the tables built from it.
      • Open it from the new Lineage section or straight from a table's details page, and drill down to column-level lineage.
      • Lineage now covers PySpark too: automatic for Load and Aggregate PySpark actions, opt-in through the SDK for Custom PySpark actions and PySpark notebooks.
    • Fixes:
      • checkboxes in the Tables list view are now correctly aligned.
      • sharing a dataset with a consumer project that does not exist now returns a clear error instead of a storage engine failure.

    Data Processing Engine

    • Notebook export as a custom action: the Data Platform extension can now turn a notebook into a custom action directly from JupyterLab, with the notebook's pip installs automatically converted into action dependencies.
    • Fixes:
      • environment variables already defined on a job are no longer overridden when the job starts.

    Control Center

    • Fixes:
      • job metric charts now display over any time range: the measurement precision adapts to the selected window instead of failing on wide ranges.

    August 3, 2026

    General

    • New guide: Trino data types and casts, covering the mapping between Lakehouse types and Trino types and how to fix TYPE_MISMATCH errors when writing through Trino.
    • Expanded docs: deeper Lakehouse Manager pages on data types, naming rules, the storage model, and cross-project sharing, plus new Data Processing Engine docs on code sharing between actions, triggering notebooks from workflows, and CI/CD.

    Lakehouse Manager

    • Fixes:
      • sharing a dataset in read-only no longer downgrades the owner's own read-write access to that dataset.
      • the API now returns a 404 error instead of a 500 when a resource is missing or was deleted.

    Data Processing Engine

    • Data Platform Extension: a new JupyterLab extension adds a side panel to browse your project's datasets and storage buckets, run quick read-only SQL queries, and start from a gallery of ready-to-use notebooks wired to your own data.
    • marimo extension: the marimo notebook extension is now preinstalled in all notebook images.
      • Both extensions are new: try them out and share your feedback.
    • Custom action helpers: the helper panel in the Custom action and Custom PySpark editors now offers ready-to-use scenarios organized by category, SDK guides, a tab to browse your data, and a FAQ.

    Control Center

    • Audit trail: new event types record configuration export and import operations.
    • Fixes:
      • job logs in the Logs Explorer now display in the correct order without gaps or duplicated lines, streaming resumes after an interruption, and a loading error is shown instead of an empty log view.
      • the Open logs button now opens the Logs Explorer with the correct parameters instead of doing nothing.

    Apps and API

    • Application scheduling (beta): automatically start and stop an application (apps, APIs, Superset) during weekly activity windows, to avoid paying for idle time.
      • Pick a timezone and add one or more windows with days and start and stop times; outside these windows the application is stopped.
      • Transitions are evaluated about every 5 minutes, so a start or stop can be delayed by up to 5 minutes.
    • In-memory caching (beta): deploy a Valkey or Redis cache alongside an application service.
      • Choose the cache engine version and the share of DPU allocated to it (10 to 50%); the change takes effect after restarting the deployed version.
    • SQLite backups (beta): applications that store data in SQLite can now enable automatic backups.
      • Set the daily retention in days and how many weekly and monthly backups to keep, and open stored backups directly in the Lakehouse.

    July 20, 2026

    Lakehouse Manager

    • Iceberg bucket: the Buckets screen now lists your project's Iceberg bucket, the storage behind your Lakehouse tables, in read-only mode.

    Data Processing Engine

    • Overview heatmap: job activity is now grouped by day and 4-hour slot, with run counts shown per cell and only finished jobs counted.
    • Build logs: logs from the build phase of a job are now available, so errors during a build are visible and easier to debug.
    • Notebook import and export: notebooks are now imported and exported as ZIP archives.
    • Workflows: a workflow must now contain at least one action to be started; empty workflows can no longer be run.

    July 6, 2026

    General

    • Configuration export and import: each service module can now be imported directly from the UI, without calling an endpoint to import a configuration.

    Lakehouse Manager

    • Fixes:
      • Explore snapshot from Time Travel now redirects to the Explorer with the snapshot loaded.
      • searching a dataset by its full name (for example default_dataset) now returns the dataset instead of "You have no dataset".
      • deleting a shared dataset from a receiving project no longer leaves the Explorer without a dataset name.

    Data Processing Engine

    • Overview metrics: new Resource consumption, Top consumers, and Spark History Server metrics, with a selectable last 7, 30, or 90 day range and faster loading.
    • Fixes: the Rebuild action now mirrors an attribute's state when it is marked Required + Identifier.

    Control Center

    • Overview metrics: new Total resource consumption, Data scanned over time, DB storage (tables), and Object storage (buckets) metrics, shown both as current values and over time.
    • Fixes:
      • the Alerts page now shows an error notification when alerts fail to load, instead of an empty "No alerts" state.
      • the Audit trail now loads further entries when paging past the cached results, at both project and organization level.

    June 22, 2026

    General

    • App Service component count: the organization home now shows the number of deployed App Service components on each project box.
    • New tutorial: Build an IoT fleet-monitoring pipeline, an end-to-end guide streaming simulated sensor data from a Custom action through Kafka into a live Superset dashboard.

    Connectors

    • Database connector pagination: the database connector list is now paginated, making large lists easier to browse.
    • Fixes: sorting by column header now works on the Trino consumers table.

    Lakehouse Manager

    • Required and Identifier fields: attributes can now be marked Required (never NULL) or Required + Identifier (part of the row's uniqueness key for upserts).
      • Required fields cannot be added once a table is built; use the new Rebuild action to add them. Identifier fields cannot be double or decimal.
    • Table metrics: tables now have a Metrics section surfacing key statistics about the table.
    • Fixes: in the Explorer, the Export as CSV button is disabled with an explanatory message when no query engine is active.

    Data Processing Engine

    • Write strategy: Load and Aggregate actions (Python and PySpark) can now upsert using a table's identifier fields.
      • Choose Upsert, Insert when not matched, or Insert all in the action preferences.
      • Actions default to Insert all; select Upsert manually to enable matching behavior.
    • Rebuild action: rebuild a table from scratch to change field constraints, restructure partitioned data, and clean its metadata.
      • Set a default value when promoting a field to Required/Identifier; optionally keep a backup of the previous table.
      • Removes all table history; Time Travel is no longer available after a rebuild.
    • SQL action: write and run a SQL query against your datasets and tables on the Trino engine, as a schedulable, workflow-ready action.
      • Supports reads, metadata, DML, DDL, and CREATE TABLE AS SELECT, which also builds the new table in the Lakehouse Manager.
      • Validate before creating, with destructive-query confirmation and a re-validation check on every run.
    • Spark History Server: inspect the execution history of your PySpark actions and workflows from a new DPE page.
      • Start the server on demand to browse recent runs; it auto-stops when idle and is billed per DPU only while running.
      • Open each run's Spark UI, or analyze it with DataFlint performance insights, live or after completion.

    Analytics Manager

    • Fixes: in Queries, the Export as CSV button is disabled with an explanatory message when no query engine is active.

    Control Center

    • Logs Explorer performance: the Logs Explorer now issues a single metrics and jobs request instead of one per project, speeding up loading.
    • Alerting: the Create alert action is available again from the project homepage.
    • Fixes:
      • logs no longer display "Invalid date".
      • refreshing the Auditing trail no longer duplicates rows.

    Apps and API

    • App Service UI (beta): a redesigned, more unified interface for the App Service is now available as a beta, bringing it in line with the rest of the platform.
      • We will ship improvements and updates continuously over the coming weeks and months. Your feedback is welcome.
    • Fixes: creating an environment variable no longer fails with a 400 error.

    June 2, 2026

    Connectors

    • Trino consumers: create a Trino connection string in a few clicks from the Consumers tab, instead of setting up a service account, API keys, and the connection string by hand.
      • Pick a READ or READ & WRITE access level per consumer.
      • The connection string appears only once, at creation; each consumer has a dedicated service account.

    May 25, 2026

    General

    • Contact Support: the Contact Support link now opens an in-platform support form instead of redirecting to the external OVHcloud Help Centre.

    Lakehouse Manager

    • Cross-project dataset sharing (beta): datasets can now be shared read-only with other projects in the same organization.
      • Admins share from the source project via the dataset's Configuration tab → Manage share settings → pick one or more target projects.
      • Receiving projects see the dataset in their Lakehouse Manager Datasets menu with a shared icon and the type Lakehouse Manager (shared). Tables can be previewed but not modified.
      • In the Explorer, shared tables appear under a new Shared Datasets category in the list by dataset view. SQL editor only.

    Data Processing Engine

    • Fixes: importing a DPE configuration into another project now correctly rewrites repository references in workflows. Previously, workflows imported into the destination project still pointed to the source project's repository_id for the Default repository, breaking action references.

    Control Center

    • Auditing: notebooks are now covered by the audit trail.

    May 5, 2026

    Connectors

    • New connectors:
      • HubSpot: extract contacts, companies, deals, tickets, pipelines, forms, marketing emails, and more.
      • Odoo: extract contacts, CRM leads, sales orders, invoices, products, inventory, HR, and projects from your Odoo ERP instance. Compatible with Odoo 14–19.
      • Salesforce: extract standard and custom sObjects, run SOQL and SOSL queries, list reports, and inspect org limits.
      • Shopify: extract products, customers, orders, inventory, marketing, B2B, payments, and content via the Shopify GraphQL Admin API.
      • Stripe: extract customers, charges, payment intents, subscriptions, invoices, balance transactions, and events.
    • Each new connector ships with a companion Technical Reference page covering authentication, the full endpoint catalogue, pagination, rate limits, output format, and limitations.

    Data Processing Engine

    • Fixes:
      • selecting resource allocation when creating an action or workflow no longer freezes the screen.
      • updating the environment on an existing action no longer freezes the screen.

    Control Center

    • Fixes: the Auditing refresh icon now preserves the selected time range instead of resetting to the last 6 hours.

    April 20, 2026

    General

    • Maintenance banner: a banner is now shown in the header for the duration of any scheduled platform maintenance. While active, the platform is read-only; run operations remain allowed.

    Connectors

    • OpenLineage consumer:
      • auth token is now optional.
      • new Disable Trino events toggle - skip Trino-generated lineage (Explorer, Analytics Manager) and forward only DPE batch lineage.
    • Fixes: schemas no longer displayed incorrectly in Marquez for forwarded lineage events.

    Lakehouse Manager

    • Explorer:
      • Export to CSV: scale fields now come before data fields in visual-query CSV exports (download and bucket export).
      • all non-numeric values are now quoted in CSV exports, which avoids parsing issues with commas, quotes and line breaks.
    • Fixes: Preview table now opens the Explorer with the selected table loaded.

    Data Processing Engine

    • Git dependency auto-update: Custom and Custom PySpark actions now support @latest in Git-hosted Python dependencies:
      • Append @latest to any git+ dependency URL to automatically resolve the most recent published release at build time.
      • Click Force Build to pick up a new version. No more manual tag or commit hash updates across actions.
      • Note: the latest release is not detected automatically at runtime, a manual Force Build is required to pull the update.
    • Custom action lineage SDK: new lineage_run context manager, auto-emits START / COMPLETE / FAIL and generates run_id.
    • Custom action lineage helpers: new schema_facet (declare schemas) and column_lineage_facet (column-to-column mappings).
    • Auto schema detection: pass connector= to lineage_run to extract schemas automatically.
    • Updated docs: Track data lineage in a Custom action.

    Analytics Manager

    • Queries:
      • Export to CSV: scale fields now come before data fields in visual-query CSV exports (download and bucket export).
      • all non-numeric values are now quoted in CSV exports, which avoids parsing issues with commas, quotes and line breaks.

    Control Center

    • New: Auditing (initial release): logs significant create / update / delete activity on the platform. Coverage will expand in upcoming releases.
      • Project-level view in Control Center; filter by service (Connectors, Lakehouse Manager, DPE, Analytics Manager, IAM), resource and time window.
      • Organization-level view in Organization Settings. Currently covers organization IAM and member management; billing, quotas and similar are coming soon.
      • Two new roles at each level: Audit Trail Admin and Audit Trail Viewer.
    • Alerting (beta): alerting has been reworked and re-enabled. Please report any issues you run into.
    • Fixes: Logs Explorer now displays execution logs for DPE actions and workflows correctly.

    April 7, 2026

    Lakehouse Manager

    • OpenLineage compliance: Data Platform now tracks and exposes data lineage events using the OpenLineage standard. Lineage events are recorded automatically for Load and Aggregate actions, and opt-in for Custom actions.
    • Fixes: Query Gateway now correctly auto-infers catalog.schema for Direct Query catalogs. This only affected tables with Direct Query enabled.

    Connectors

    • New Consumer: Added the OpenLineage consumer, connect your own OpenLineage-compatible lineage solution (e.g. Marquez) by providing an endpoint URL and auth token.

    Data Processing Engine

    • New Action: Added Send OpenLineage Events, forward data lineage events from Data Platform to your external lineage backend. Supports cron scheduling or always-up continuous mode.
    • SDK: Added documentation for tracking data lineage in Custom actions using the emit_lineage function. Lineage is opt-in for Custom actions, declare inputs/outputs and emit START, COMPLETE, and FAIL events to integrate with the platform's OpenLineage graph.
    • Fixes:
      • Cron jobs are now active by default upon creation.
      • Execution logs for newly created actions and workflows are now displayed correctly.

    March 23, 2026

    Data Processing Engine

    • Improved Spark job launch and workflow stability.
    • Actions & workflows: Added option to deactivate and reactivate cron jobs instead of deleting them.
    • Fixes: Environment variables field no longer overflows the layout for long values.

    Lakehouse Manager

    • Attributes: Attribute naming rules are now displayed.
    • Explorer:
      • Fixed export of CSV results to bucket for visual queries.
      • Fixed incorrect alert icon for direct-query sources after metadata extraction.

    March 9, 2026

    Connectors

    • New Connector: Added support for the FHIR connector.
    • Updates:
      • Updated ClickHouse connector.
      • Fixed SSL issues in the MySQL connector.
      • Kafka connector certificates are now encrypted at creation time.
      • Updated: Kafka nested JSON fields extraction; metadata extraction may need to be re-run if your Kafka source contains nested fields.

    Data Processing Engine

    • Improved SparkSession acquisition for Custom PySpark Actions.
    • ⚠️ PySpark 3.3.2 Deprecation: Creating new actions with PySpark 3.3.2 is no longer possible. This version is being deprecated, please migrate to a newer PySpark version.

    Lakehouse Manager

    • Trino: Updated Trino version to 479.
    • Direct Query in Explorer: Added direct query support in the Lakehouse Explorer. If your source is direct-query enabled, its tables and extracted attributes are now visible directly in the Explorer.
    • Fixes: Fixed encryption of nested parameters (particularly for Kafka databases).

    Analytics Manager

    • Fixes:
      • Resolved an issue with the dashboard/deployed endpoint.
      • Ensured resource groups are created during seed even when no JSON body is provided.

    Control Center

    • Fixes: Fixed endDate handling in the Control Center Logs Explorer.

    February 23, 2026

    General

    • Fixes:
      • Environment selected in workflow preferences now properly retained.
      • Clicking metrics icon now redirects directly to the metrics page.
      • Deployment start_date now properly taken into account in Control Center Logs Explorer.
      • IAM auth provider active button now correctly reflects state.

    Lakehouse Manager

    • Updates: Updated Trino version from 476 to 478.
    • Performance: Improved catalog reload time by approximately 2-3×.
    • Fixes: Fixed 401 errors on queries immediately after project creation.

    February 9, 2026

    General

    • Fixes:
      • Fixed infinite loading spinner issue in Consumers section.
      • Enhanced platform stability with backend improvements and dependency upgrades.

    Connectors

    • API Connectors: Improvements and fixes for API connectors to enhance reliability and user experience.

    APPs & APIs

    • Superset Theming: Introduced a new theming module for Superset, allowing for better customization and branding options.
    • Updates: Updated Superset Template to version 6.

    Lakehouse Manager

    • Performance: Minor improvements to query stability and monitoring capabilities.

    January 26, 2026

    General

    • UI Refresh: Rename Data Catalog to Connectors across the entire platform for improved clarity and consistency.
      • Update all navigation menus, documentation links, and sidebar references to reflect this change.
      • The functionality remains the same - this is purely a naming update to better represent the service's purpose as your central repository for data source connections.
    • Fixes:
      • Fix issue where Current Project usage had multiple supersets being displayed. Now displays just one superset column with total consumption, similar to how it's shown for apps and APIs.
      • Fix issue where users were unable to grant write access on policy tags.
      • Added a visual indicator when sorting table columns.
      • Improved overall platform stability and performance.
      • Enhanced user interface responsiveness across various components.

    Data Processing Engine

    • Fixes:
      • Show more accurate last 24 hours view in DPE metrics.
      • Fix issue where environment variables section was missing on PySpark actions.

    Documentation Updates

    • Updated all documentation references from "Data Catalog" to "Connectors"
    • Refreshed navigation and sidebar structure to reflect the new naming convention
    • Use "Connectors" terminology consistently in all tutorials and guides

    January 12, 2026

    General

    • Fixes:
      • Fix infinite redirect loop that occurred when navigating away from the MFA (Multi-Factor Authentication) validation flow, ensuring a smoother authentication experience.
      • Resolve issue where users at the organization level could not add specific services to favorites in the sidebar.
      • Improved API dashboard precision by truncating numeric values to two decimal places. This makes the data display clearer and more consistent.
      • Enhance error handling and user-facing messages for quota management. Provide more informative feedback when quota limits are reached or exceeded.

    Lakehouse Manager

    • Time Travel: Introduced retention period for time-travel feature, by default it's 14 days. Read more on the doc.
    • Trino Optimization: Optimized Trino memory usage to prevent Out-of-Memory (OOM) errors, improving query stability and performance for large datasets.
    • Table Maintenance: Enabled the table maintenance job in production. This daily automated job removes old snapshots and orphan files, helping to optimize storage usage and maintain data lakehouse health.

    Data Processing Engine

    • Reverse-ETL Actions: Added support for protocol as a destination option in reverse-ETL actions.
    • PySpark Load/Aggregate: Fix issue with XLS file processing in classic PySpark load and aggregate actions.

    APPs & APIs

    • Deployment Status: Improved deployment status updates with more accurate real-time information during app and API deployment processes.
    • View Logs: Added a new "View Logs" button that appears when an app or API is deployed.
    • Open Button: Display "Open" button only once app or API is fully deployed, preventing proxy error messages that previously appeared when attempting to access services before deployment completion.

    :::details 2025 December 17, 2025

    General

    • Fixes:
      • Resolved an issue where boolean values were not displayed in query results when executing queries in Lakehouse Manager Explorer or Analytics Manager.
      • Fixed an issue where incorrect data was displayed when switching between 7 days and 24 hours views in job metrics.
      • Group names are now correctly shown in the UI after granting access to a group on a policy tag.

    Data Catalog

    Lakehouse Manager

    • Time Travel: Introduced time travel feature for tables, enabling you to query historical versions of your data. Learn more about Time Travel.
    • Explorer: Enhanced SQL query capabilities to support Iceberg snapshot version syntax using FOR VERSION AS OF SNAPSHOT_ID.
    • Improved Trino stability for more reliable query execution.

    Data Processing Engine

    • Metrics: DPE Actions and Workflows job metrics now include timed-out executions alongside successful and failed ones, for more comprehensive monitoring.
    • Fixes:
      • Resolved an issue where loading multiple Parquet files from a bucket with segmentation would fail when running multiple instances in parallel.
      • Restored the missing Python code sample in the dialog box when viewing API examples under DPE Actions and Workflows Preferences > Triggers.

    December 1, 2025

    General

    • Project-Level Search: Introduced a new search functionality within the project level to quickly find menus and sections. Use CMD+K on Mac or CTRL+K on Windows to access this feature.
    • Quotas: New Quotas feature now available in the organization settings page, allowing administrators to manage resource allocation limits. Learn more about Quotas.
    • Performance: Improved job performance across the platform.

    Lakehouse Manager

    • REST Catalog: Deployed a new open-source REST catalog service (Polaris) for Apache Iceberg to prepare for future integrations, such as enhanced table metadata access and more granular RBAC.
    • Fixed ACLs issue with policy tags.

    Data Processing Engine

    • Notebooks: Python 3.9 notebooks can no longer be created; Python 3.13 is now the default version.
    • Fixes:
      • Resolved an issue where S3Store.bucket_exists() encountered errors when saving status with multiple workers during get_bucket operations.
      • Fixed PySpark linked environment parameter handling to properly support number and boolean types (previously only string values worked correctly).

    November 17, 2025

    General

    • During project creation, hostnames no longer accept underscores to ensure better compatibility.

    Data Catalog

    • Kafka Connector: Improved performance with faster and more efficient batch loading into datasets.
    • Fixed timezone handling in metadata extraction for more accurate data processing.

    Data Processing Engine

    • Workflows: Added Force Rebuild option, matching the functionality previously available in actions (useful for troubleshooting and ensuring clean re-execution).
    • Custom Actions: Added support for Python 3.13.
    • PySpark Actions: Fixed environment variable handling to properly support number and boolean types when using linked environments (previously only string values worked correctly).
    • Spark Custom Actions: Enhanced boilerplate templates for improved developer experience.

    November 3, 2025

    ⚠️ Important Actions Required ⚠️

    • Front-end Applications with MFA: Due to a security patch, applications using project-level authentication with Multi-Factor Authentication (MFA) require a manual update. Users must update the client-authority-manager dependency to version 1.5.0 in their forepaas.json file (located in the root folder of the Front App), then rebuild and redeploy the application.

    General

    • Platform-wide infrastructure improvements for enhanced stability.
    • Security: Improved token rotation when switching between organizations and increased authenticator secret length for better MFA compatibility.

    Data Catalog

    • Kafka Connector: Now returns flattened JSON by default for easier processing.
    • Source Management: Columns using reserved keywords are now automatically renamed with an _r suffix to prevent SQL query and table build failures.

    Data Processing Engine

    • Jupyter AI Extension: Notebooks now include the Jupyter AI extension for conversational assistance. Setup is required with your OVHcloud AI endpoint key.
    • Notebooks:
      • Improved startup time with asynchronous post-start processes.
      • New resource usage metrics (CPU, Memory, Storage) are now displayed.
      • Fixed an issue preventing the override of existing dependencies.
      • Updated example notebooks and boilerplates.
      • Resolved compatibility issues with Spark versions 3.4.4 and 3.5.5.

    Lakehouse Manager

    • SDK Update: Added a new create_from_physical method to create logical objects from existing physical tables.
    • Improved stability for configuration imports by correctly setting table statuses.

    Analytics Manager

    • Fixed out-of-memory issues in Trino to enhance query performance and stability.

    APPs & APIs

    • There are no specific updates for this section in this release beyond the security patch mentioned above.

    Documentation Updates

    • Tutorials Hub: Replaces the previous Tutorials section, organizing learning materials into clear categories such as project setup, data ingestion, transformation, export, analysis with Trino, and business intelligence.
    • Jupyter AI Extension: New guide for the built-in Jupyter AI extension, including setup with your OVHcloud AI endpoint key and using conversational assistance in notebooks.
    • SQL Transformation Guide: Step-by-step examples showing how to perform SQL-based data transformations within notebooks on the data platform.
    • SDK Reference: Updated with new dataset connector methods; more updates coming in future releases.
    • Link Fixes: Several broken links across the documentation have been corrected for better navigation.

    October 20, 2025

    General

    • Platform-wide dependency upgrades for enhanced stability and security.
    • Fixed an issue where the Power BI connector was returning the wrong subdomain when sharing Project URLs.

    Data Processing Engine

    • Default Spark version updated to 3.5.5 for load and aggregate actions
    • Updated SDK to latest versions of Pandas 2.x and SQLAlchemy 2.x, improving notebook compatibility.
    • Added support for Python 3.13 with updated base, PySpark, TensorFlow, and DataScience notebook images
    • New example notebooks included with every notebook image.

    Data Catalog

    • Added NDJSON format support for JSON uploads.

    October 6, 2025

    ⚠️ Important Actions Required ⚠️

    • For Apache Superset (using the SQLite template) built before October 6th: Clients must rebuild and redeploy the environment to ensure compatibility and support.
    • For the Front Application built before October 6th: Clients must update the SDK to version 1.3.0 in forepaas.json, then rebuild and redeploy the application.

    General

    • Improved SSO login flow to only display auto-provisioned options where applicable
    • Fixed navigation, loading, and multi-button hover issues in UI
    • Database connectors now display warnings and documentation links

    Data Processing Engine

    • Fixed issues with PySpark actions and aggregate action reliability
    • Updated Oracle and Polar connectors for improved compatibility
    • New warning when changing destinations with multiple sources

    Lakehouse Manager

    • Fixed missing access rights for job endpoints (users now need explicit rights)
    • Improve stability and performance
    • Added Metastore service to handle metadata more efficiently
    • Fixed logical attribute build issue with incremental updates.
    • Polaris catalog deployed for open-source REST compatibility

    Analytics Manager

    • Fixed ACL-related constraints for endpoints
    • Configuration service updated for improved Trino catalog compatibility

    Apps & APIs

    • Fixed automatic deployment issues
    • Optimized Superset builds.
    • Updated store templates and SDK modules

    September 22, 2025

    General

    • Minor bug fixes and improvements

    September 8, 2025

    General

    • Improved error handling and log sanitization to make troubleshooting smoother and more secure.
    • Fixed errors with invalid parameters in the Log Explorer.

    Data Catalog

    • Improved OVHAPI Connector with enhanced V2 compatibility

    Data Processing Engine

    • Updated Python environment to v3.13.7 for improved security and compatibility.
    • Enhanced logs for easier debugging.
    • Improved PySpark execution reliability, reducing warnings and errors during workload runs.
    • Fixed an issue with SQL Server installation dependencies to ensure smoother deployments

    Lakehouse Manager

    • Better error message handling when importing configurations to simplify troubleshooting
    • Stability improvements across Lakehouse query services.

    August 25, 2025

    General

    • Consumers have now been moved to the Lakehouse Manager
    • Improved logs for the Lakehouse Manager "all-in-one" build action.
    • Fixed an issue where "all-in-one" action reports a successful metadata update (update metas successful) but returns a result of -1.

    August 11, 2025

    General

    • Trino version upgrade v461 to v476
    • PowerBI consumer is now available for use. guide on how to use is available here
    • Fixed minor issue with the edit icon not appearing on DPE actions/workflows/environments.

    July 28, 2025

    General

    • Improved ACL for actions for Data Processing Engine
    • New tutorial available for a FinOps uses case with FOCUS and superset - here

    July 15, 2025

    General

    • Apache Superset is now availalable in the App Service
    • Adjusted Spark log levels and optimized processing for better performance
    • Introduced the NYC Taxi dataset tutorial with two practical examples and a PySpark cheat sheet for enhanced learning and quick reference.

    Data Processing Engine

    • Added new metrics to monitor notebook usage and performance
    • Improved notebook import/export experience for better usability
    • Improved documentation for PySpark modules and PySpark use cases, making it easier to leverage distributed processing.
    • Added comprehensive documentation for previously missing Data Processing Engine (DPE) actions, expanding available guides.

    UI / Platform

    • Fixed an issue where Log Explorer wouldn’t display the bottom of the window correctly
    • Resolved a WebSocket issue when multiple users accessed the same DPE
    • You can now add widgets directly without going through the edit menu
    • Updated DPE Notebooks interface for a smoother experience
    • S31-compatible storage now automatically lowercases the region field for consistency

    June 30, 2025

    General

    • Project's home: update "APPLICATION SERVICES" tile by merging "Apps" and "APIs" tiles
    • Improve OAuth integration with MFA

    Data Processing Engine

    • All Actions: Added a Force Rebuild option, useful for troubleshooting and ensuring a clean re-execution.
    • PySpark Actions: added selection of appropriate "Spark Log Level"
    • PySpark Custom Action: added selectition of PySpark version (currently 3.3.2, 3.4.4, 3.5.5)

    Lakehouse manager

    • various optimisation and bugfixes

    Control Center

    • Logs Explorer improvements
    • Jobs Central: fix Last 30 days display

    June 9, 2025

    Data Processing Engine

    • PySpark Load: allow multiple files loading from Bucket

    Control Center

    • Logs Explorer: fix when last second of logs were sometimes not displayed

    May 26, 2025

    Data Catalog

    • Added JSONPath support to OVH API sources for simpler data navigation.
    • Improved performance of OVH API sources for quicker data access.
    • Made it easier to manage multiple endpoints in OVH API sources.

    Data Processing Engine

    • New Action - Export Table to Source: Export selected tables from your lakehouse to an external data source.
    • Fixed the Time Breakdown view in job details for accurate insights into job performance.
    • Resolved an issue preventing users from leaving the editing page in certain actions without refreshing.
    • Improved notebook usability with a pending status display when stopping a notebook.
    • Enhanced metrics for better monitoring.
    • Optimized Spark processing for improved performance and reliability.
    • Adjusted Spark log levels for clearer debugging and monitoring.
    • Fixed an issue with incorrect start dates in Logs Explorer for accurate job tracking.
    • Fixed incomplete display of last 24 hours metrics for accurate monitoring.
    • Reworked notebook access controls to include read-only support for better collaboration.

    Analytics Manager

    • Improved query menu interface with a clear display of visual or SQL mode on the main page.
    • Enhanced handling of queries to support virtual attributes, ensuring reliable performance.

    Lakehouse Manager

    • Fixed an issue where copying tables with a large number of attributes caused errors.
    • Resolved errors during Physical Build stops for smoother operations.
    • Standardized metadata extraction for better data consistency.
    • Added physical build status checks by job type for improved monitoring.

    May 12, 2025

    General

    • New tutorial to use OVH API Connector for billing analytics

    Data Catalog

    • Better handling of date time string with UTC time zone
    • Improved Analyzer for streaming sources
    • Improved OVH API connector
    • Improved handling of PostgreSQL source using Direct Query and integration with Trino

    Data Processing Engine

    • Python SDK: we have fixed package boto3 < 1.36.0.
    • ⚠️ Note: For compatibility reasons, please do not include the boto3 library in your custom dependencies

    April 28, 2025

    General

    • Improved login page text for a better experience.
    • Tutorials and documentation now open in a new tab from the homepage.
    • Updated text on the Analytics Manager and SQL Queries screens.
    • Simplified organization invitations by removing the "create an organization" option.
    • Fixed occasional issues when searching in the policy tag list.
    • Fixed action links in Notebooks to better reflect user's permissions.
    • Improved user list visibility when managing organization/project invites.
    • Improved display of logs in the Control Center.

    Data Processing Engine

    • Fixed toolbar icon display in Advanced Mode for better usability.
    • Improved stability after notebook crashes, with better disk restoration.

    Lakehouse Manager

    • Improved dataset status updates.
    • Improved performance of physical builds.

    April 14, 2025

    General

    • Several UI fixes in Organization's pages and Identity Access Manager

    Data Proessing Engine

    • Fix File Transfer Action
    • In logs, add Action's name when just Action's ID was visible
    • Fix some logs visibility in Action / Workflow / Job view.

    Lakehouse Manager

    • Improve dataset creation time
    • Better handling of Explorer when Trino is not available

    Control Center

    • Fix display of some Monitoring views

    March 28, 2025

    General

    • Enhanced dataset creation flow for a more user-friendly experience.
    • Fixed minor bugs related to policy tags.
    • Resolved an issue where Control Center logs were not displaying correctly.

    Data Processing Engine

    • Enhanced logging for PySpark actions to improve traceability and debugging.

    • Improved OVHcloud API connector for better handling of multiple endpoints.

    • Notebooks:

      • Added support for Python 3.11
      • Introduced new Data Science and TensorFlow notebook types.

    March 18, 2025

    General

    • Documentation is now available at https://docs.dataplatform.ovh.net/
    • Improve handling of logins mixing upper and lower cases
    • Improve readability of some error messages
    • Update project is ready e-mail
    • Remove all UI references to BETA

    Data Processing Engine

    • Streamline events exchange with UI
    • Notebooks: update Data Platform Python SDK

    Lakehouse Manager

    • Improve all-in-one action to better handle attributes names :::

    Go further

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