Enterprise data platform
Enterprise data platform for governed analytics at scale
DataForge gives enterprise teams a built-in architecture for pipeline development, orchestration, observability, lineage, and governance while keeping customer data in the client-managed cloud.
Direct answers for evaluation
What is DataForge?
DataForge is an enterprise data platform for teams that need governed, scalable analytics pipelines without stitching together multiple tools.
Who is DataForge for?
DataForge is built for CDOs, CFOs, VPs of Data, VPs of Analytics, and platform teams at companies with 200+ employees.
What tools does DataForge replace?
DataForge can reduce the need to assemble separate ETL, orchestration, observability, lineage, audit, and cost-monitoring layers.
Where does customer data run?
Customer data stays in the client-managed cloud. Processing runs in the client Databricks or Snowflake account.
When should a CDO, CFO, or VP of Data evaluate DataForge?
Evaluate DataForge when pipeline volume is growing, platform patterns are fragmenting, cloud data costs need visibility, or executive teams need faster analytics delivery with stronger governance.
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
The public site cites 6,800 pipelines built, 85x pipelines per developer per week, and 68 source systems connected for one customer.
Evaluate DataForge for your platform
Talk with DataForge about your current data stack, cloud environment, pipeline growth, and executive platform goals.
Talk to us