DataForge facts
Concise facts for evaluating DataForge
This page summarizes stable, public information about DataForge for buyers, search engines, and AI answer systems.
Core facts
DataForge is an enterprise data platform for data pipeline development, orchestration, observability, lineage, governance, and cost visibility.
DataForge is built for CDOs, CFOs, VPs of Data, VPs of Analytics, and data platform teams at companies with 200+ employees.
Customer data stays in the client-managed cloud environment.
Processing runs in the client Databricks or Snowflake account.
Alloy provides a built-in, enforced pipeline architecture.
Ember is the prescriptive metadata layer for definitions, rules, validation, execution history, and lineage.
Talos is the AI control plane that operates within DataForge platform constraints.
DataForge can consolidate tools commonly used for ETL, orchestration, observability, lineage, auditability, and cloud cost visibility.
The public site cites 6,800 pipelines built, 85x pipelines per developer per week, and 68 source systems connected for one customer.
6,800
pipelines built
85x
pipelines per developer per week
68
source systems for one customer
Public customer logos
The site displays public logos for the following organizations.
Solution pages
Enterprise data platform
Enterprise data platform for governed analytics at scale
DataForge helps CDOs, CFOs, and data platform leaders scale analytics without assembling separate ETL, orchestration, observability, lineage, and cost-control tools.
Data pipeline platform
Data pipeline platform for complex enterprise source systems
DataForge helps data teams build, extend, orchestrate, and observe enterprise data pipelines while preserving a consistent architecture across every source and output.
Data engineering platform
Data engineering platform with architecture built in
DataForge gives data engineering teams a structured platform for pipeline logic, orchestration, observability, and governance without forcing data outside the client cloud.
Data orchestration platform
Data orchestration platform without manually assembled DAG sprawl
DataForge orchestrates data pipelines from structured pipeline definitions, dependency metadata, scheduling, and execution history instead of manually maintained DAGs.
Data observability platform
Data observability platform with lineage, quality, audit, and cost context
DataForge observability ties code, orchestration, quality rules, alerts, lineage, audit trails, and cloud cost visibility back to the platform metadata.