Data replication
Data replication that ends inside the governed platform
DataForge replication reaches sources behind your firewall through a single lightweight in-network agent and writes the changes into governed hub tables in your own Databricks account, with no landing zone and no staging hand-off.
Direct answers for evaluation
What is DataForge?
DataForge is a data replication and transformation platform: a single outbound-only agent inside your network ingests files, batch database extracts, and streaming SQL Server change data into governed tables in the client Databricks account.
Who is DataForge for?
DataForge fits data platform leaders and integration teams that need on-premise and firewalled sources replicated into a lakehouse without adding a second product and a second pricing meter.
What tools does DataForge replace?
DataForge can reduce the need for a separate replication product, a landing zone between replication and transformation, and the custom change-capture code teams write to keep on-premise sources current.
Where does customer data run?
Customer data stays in the client-managed cloud. Streaming replication merges into governed tables in the client Databricks account, and Snowflake deployments use batch ingestion.
When should a CDO, CFO, or VP of Data evaluate DataForge?
Evaluate DataForge when critical sources sit behind a firewall, when per-row replication pricing is hard to forecast, or when replicated data has to be staged again before your transformation tool can use it.
Built-in architecture
Alloy gives every pipeline a consistent, enforced layer model so platform complexity does not grow through one-off patterns.
Client-managed cloud
DataForge is positioned for enterprise teams that need customer data to remain in their own cloud environment.
Platform consolidation
DataForge combines pipeline development, orchestration, observability, lineage, auditability, and cost visibility.
Published proof point
DataForge streams SQL Server changes using log-based CDC and Change Tracking.
Evaluate DataForge for your platform
Talk with DataForge about your current data stack, cloud environment, pipeline growth, and executive platform goals.
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