Sub-Second Pipeline Deployment
Pipeline deployments complete in under 0.5 seconds each, down from 3 to 5 seconds, keeping large Terraform rollouts within execution limits.
Read morePipeline deployments complete in under 0.5 seconds each, down from 3 to 5 seconds, keeping large Terraform rollouts within execution limits.
Read moreAdd the full source table name as a column, and optionally to the primary key, so sharded tables can fan into one destination table without key collisions.
Read morePipeline actions show a pending state in the dashboard while changes are deployed to the data plane.
Read moreSchema changes and pipeline issues across many pipelines are rolled up into a single alert email that lists the affected pipelines.
Read moreFlush Metrics in the Analytics dashboard show how often data flushes, which flush rule triggered it, and how long it took.
Read morePostgres is available as a destination, with changes streamed from source databases and schema changes and backfills handled automatically.
Read moreA fan-in option merges tables with the same name across schemas or shards into a single destination table, with schema evolution handled automatically.
Read moreEnable source metadata columns in Advanced Settings to append transaction ID, log sequence number, schema, table, and database name to replicated tables.
Read moreSpecify which Snowflake role to use when authenticating with a service account, so one account can serve several environments.
Read moreA new opt-in job checks and syncs table schemas across environments, adding new columns even when a database has no row changes.
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