Native Connectors
Pre-built, managed connectors for Snowflake, BigQuery, Redshift, Databricks, and Azure Synapse. No Fivetran or Airbyte in the middle β data goes from Plurafi to your warehouse and nowhere else.
Stream every Plurafi transaction, dimension, and metadata change into your Snowflake, BigQuery, Redshift, or Databricks warehouse β in near real time, with schema evolution handled for you.
Key Capabilities
Pre-built, managed connectors for Snowflake, BigQuery, Redshift, Databricks, and Azure Synapse. No Fivetran or Airbyte in the middle β data goes from Plurafi to your warehouse and nowhere else.
Every insert, update, and delete captured as a versioned event stream. Point-in-time recreation of any table for any historical date β no more reconstructing state from nightly snapshots.
New fields, renames, and type changes propagate automatically. Backward-compatible Avro/Parquet schemas keep downstream jobs running through every upgrade.
Entity, department, and field-level access controls enforced before the data leaves Plurafi. Your warehouse only ever sees what the requesting principal is allowed to see.
One-click backfill of any object to any start date. Replay failed loads without touching production β the audit trail includes every replay operation.
End-to-end lineage from source transaction to warehouse row, with freshness SLAs and alerting when a feed drifts from the contracted latency.
How It Works
Authorize the connector, choose the target schema, and pick which Plurafi objects to stream. Setup is a guided console flow, not a multi-week engineering project.
Changes flow through a managed CDC pipeline with at-least-once delivery and end-to-end encryption. Latency stays under a minute for normal loads.
Point your BI, ML, and data-science workloads at the warehouse. Use Plurafi's published dbt models as the starting point for your semantic layer.
Sub-minute warehouse
latency for every transaction
90%
less data-engineering time vs. custom ETL
100%
coverage of auditable data lineage