Faster Postgres reader (2×+ throughput)
The Postgres reader sustains 2x or more CDC throughput through improved compression and the removal of several O(N) hot paths in the replication reader.
Read moreThe Postgres reader sustains 2x or more CDC throughput through improved compression and the removal of several O(N) hot paths in the replication reader.
Read moreArtie pipelines, sources, and destinations can be defined and managed with OpenTofu using standard tofu plan and tofu apply workflows.
Read moreMySQL tables with integer primary keys can backfill in parallel, with the table chunked into primary-key ranges that load concurrently.
Read moreSnowflake pipelines switch to a higher-capacity warehouse when ingestion lag and workload thresholds are exceeded, then switch back once backlog clears.
Read moreReplicate Oracle tables without primary keys through shadow tables that database triggers keep in sync with inserts, updates, and deletes.
Read moreIceberg destination support expands from S3 Tables to Iceberg REST Catalog, covering systems such as Databricks Unity Catalog and Snowflake Polaris.
Read morePipeline history renders large JSON fields as structured diffs that highlight only the modified keys and values.
Read moreThe MySQL Force Timezone (UTC) setting normalizes MySQL TIMESTAMP columns to UTC during replication, written as TIMESTAMP WITH TIME ZONE.
Read moreMySQL is available as a destination, with inserts, updates, and deletes from supported sources replicated into MySQL tables.
Read moreData from databases with non-UTF8 character encodings, including SQL_ASCII, is parsed and converted during ingestion with no extra configuration.
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