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24 February 2026 Release Notes

Open Source Version 5.0.2

Feature highlights

Monitors

DataOps TestGen now includes Monitors — proactive, automated anomaly detection for your data tables. While tests verify specific data content rules, monitors focus on table-level patterns over time, catching the kind of issues that emerge gradually or suddenly at the operational level: a pipeline that stops running, a table that doubles in size overnight, or a column that gets dropped without notice.

Four monitor types

  • Freshness — Tracks when tables were last updated. Detects late updates and unexpected timing changes by learning your table's update patterns.
  • Volume — Tracks row count changes over time. Flags unexpected spikes, drops, or stalls in table size.
  • Schema — Detects structural changes to your tables, including column additions, drops, and modifications.
  • Metric — Tracks user-defined SQL aggregate expressions (e.g., null counts, averages, ratios) and flags deviations from expected patterns.

Freshness, Volume, and Schema monitors are auto-generated when you configure monitors for a table group — no manual setup required. Metric monitors can be added manually for custom tracking needs.

Automatic anomaly detection

Monitors automatically learn expected patterns from your data and determine tolerance bounds — Volume and Metric monitors use a time-series prediction model (SARIMAX), while Freshness monitors use gap-based thresholds with automatic schedule inference.

For tables where the default thresholds are not appropriate, you can override individual monitors with Static Thresholds or (for Volume and Metric) Historical Calculation.

Dashboard and notifications

The new Monitors dashboard provides an at-a-glance view of anomalies across all monitored tables, with interactive trend charts for investigating issues in context. Email notifications can be configured to alert you when anomalies are detected.

For full details, see Monitor Tables, Configure Monitors, and View Monitor Results.

Streamlined setup wizards

The Data Configuration Setup and Add Table Group wizards now include steps for configuring test suites and monitors as part of the setup flow, making it faster to get started with both testing and monitoring from a single walkthrough.

Other fixes and enhancements

  • The cron schedule editor now supports a Starting at/on offset, allowing you to specify exact start times and days for schedules.
  • We fixed the Table Freshness test to avoid numeric overflow errors in Redshift, PostgreSQL, and Snowflake.
  • We fixed a bug where test results history charts failed to render when NaN values were present.
  • We fixed bugs in the DataOps Observability export.
  • We fixed bugs in email notification templates for test runs.
  • We applied general fixes to reduce errors, increase security, and improve our user experience.