Build Data Pipelines the Declarative Way
DataForge unifies Alloy’s structured architecture, Ember’s prescriptive catalog, and Talos AI’s natural language to streamline pipeline development.
Create reliable data flows without hidden complexity.
Trusted by data leaders at companies like:
A structured framework for ingesting, refining, and distributing enterprise data
DataForge ingests data from any system, manages pipelines through Ember’s metadata catalog, and executes refinement via Alloy across Databricks or Snowflake. Deliver clean, consistent data products to warehouses, lakes, operational tools, and real-time systems with confidence.
Take the complexity out of
data engineering with DataForge
Build with natural language prompts
Use Talos AI to help demystify data pipelines
DataForge’s AI assistant Talos helps translate simple requests for data, features, or operational concerns into complete production-ready solutions in platforms such as Databricks, Snowflake, AWS, Azure, and GCP.
Back-end code designed for easy management
Structured SQL expressions in YAML for easy DevOps
The DataForge Core open source framework avoids the pitfalls of SQL or python scripts by decomposing logic into separate column and row-based SQL expressions. Code can be generated, modified, and added to via LLMs without refactoring.
A fully integrated data operating system
Every aspect of data processing, all in one place
Let DataForge automate tedious and complex operations, such as scheduling, orchestration, dependencies, infrastructure, logging, profiling, error handling, retries, backfill, etc. all in an easy to monitor and navigate web-based interface
“Service Logic benefits tremendously from DataForge because it keeps our data integrations organized over time despite a complex and expanding landscape of systems. The platform accelerated our initial data transformation and is easy to maintain and enhance with minimal resources, allowing us to generate clean analytics that demonstrate the value of our business model, all without the need for a large team of in-house data experts.”
Levi Reeves
VP of Integrations & FP&A