Actian Data Observability¶
Release Notes¶
February 2026 Release¶
Product Changes¶
- MCP server availability in VPC deployment
- Exclude single metric from learning
- Data quality score - API only
- AI Agent now supports VPC deployments
- AI Agent now supports Anthropic
- Support reading PDF files from storage (GCP Only)
- Data Quality reporting to external storage
- Tracking warnings through UI and API
- General UX improvements
- Support reading from Hive metastore
- AI agent improvements
API Deprecation¶
Below APIs have been deprecated:
/api/data/{tenant}/sources/{source}/batch_data
/api/data/v2/{tenant}/sources/{source}/batch_data
/api/data/{tenant}/batch_data
/api/data/v2/{tenant}/batch_data
Please use Trigger Data Scan API to trigger data scan.
October 2025 Release¶
Product Changes¶
- New feature: Incident tracking
- Updated login flow
- Updates to creating policies
- Auto ticket creation
- User-defined
Impactfield - Updated spark version
- Disabled swagger-ui
- Support tags for resources in Azure deployment
- Bug fixes:
- Group sources: Failing for 25+ group size
- Unable to access admin page on empty tenants
- Unable to create connections in
Defaultproject
Backfilling Incidents Table via API¶
For users on versions older than the October 2025 realease, you can backfill the Incidents Table with data from the last 30 days using a new API endpoint. To use this feature, make a POST request to the following endpoint:
POST https://{actian_domain}/api/backend/{tenant}/incidents/historical
This request will initiate the backfill process for the corresponding tenant.
Initial Release (June 2025)¶
Actian Data Observability enables you to build reliable AI-ready data products, and have extensive visibility into your data.
You can scan every record across your pipeline to gain a holistic understanding of data health—no missed anomalies, no reconciliation gaps.
Actain Data Observability featues:
Connect to any data lake or lakehouse with 250+ connectors * Data Connectors
Monitor and analyze data health across your data estate. * Profiling Data * Data Health Metrics * Data Health Overview Page
Anomaly detection * Data Diff