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Release Notes

April 2026​

Team Management​

Invite team members via email and manage your organization from the Settings page. Admins can invite new users, assign admin or member roles and remove team members. Admin-only sections such as billing and activity logs are restricted by role.

Activity Logs​

Organization admins now have access to a full audit trail of account activity, viewable from the Settings page.

Dead Letters​

Invalid events are now routed to a dedicated queue instead of being silently dropped. A new Dead Letters page in the dashboard lets you inspect rejected events with details on why they failed validation.

Data Quality Charts​

The dashboard now includes visual charts for data quality metrics, making it easier to spot trends and anomalies across your datasets.

Checks Configurator​

Quality checks can now be created and configured directly from the dataset detail page in the dashboard.

Delivery Retries​

Events that fail delivery to a destination are now automatically retried, improving reliability for transient issues like network timeouts or temporary destination unavailability.

Serverless Functions: Logs and Pipeline Limits​

console.log, console.warn and console.error calls in your serverless functions are now captured and returned alongside results. The function editor displays logs in real-time, making debugging easier. Functions can also be assigned to specific pipelines.

Multi-Host ClickHouse​

ClickHouse connections now support multiple hosts, enabling connections to clusters with replicas or shards.

Telegram Alerts​

Alerts now support Telegram in addition to Slack, Email and Webhook. Configure a Telegram bot in Settings and link it by sending a registration code to the bot.

Earlier​

v0.2.0​

  • Initial data quality agent with profiling and validation task support
  • Check types: not_null, uniqueness, freshness, min, max, sum, stddev, row_count, raw_query, expect_columns, expect_columns_ordered, columns_not_present
  • Slack, Email and Webhook alerts
  • Dashboard with dataset profiling history and quality check management