Selective Backfills by Upstream Source
Table-level backfills in fan-in pipelines can be scoped to selected upstream databases or schemas, with destination merge behavior unchanged.
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- Product
- Reliability
Table-Level Monitoring
Monitors can be configured per table within a pipeline, with anomaly detection and threshold alerts on row count and data volume.
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Improved Postgres Replication Slot Monitoring
The validation job monitors every replication slot on a Postgres instance and alerts when a third-party slot is inactive, lost, or retaining too much WAL.
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Post-Upgrade Volume Anomaly Detection
After each reader image upgrade, data volumes in the 1-hour and 6-hour windows are compared with the previous day and unusual volumes trigger an alert.
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BigQuery Bytes Scanned Visibility
The Analytics Portal shows how many bytes each pipeline query scans in BigQuery for teams on on-demand pricing.
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ClickHouse as a Destination
Replicate data from sources like Postgres or MySQL into ClickHouse in near real time.
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CockroachDB as a Source
Replicate changes from CockroachDB into Snowflake, data lakes, or other destinations with native CockroachDB source support.
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Expanded Data Catalog & Database Insights
The Data Catalog adds richer table and view metadata, resizable schema trees, database-level insights, and Postgres replication slot and publication details.
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Iceberg Destinations via Terraform
Configure Iceberg destinations through the Artie Terraform provider so they can be versioned in Git and deployed with the rest of your pipelines.
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History Table Backfill
New pipelines backfill the full current state of a table into its history table before streaming ongoing changes.
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