Build better data products faster
Use functional code to build and manage your data pipelines to scale your data transformation processes with speed and reliability.
Trusted by data leaders at companies like:
Your data stack worked well to start, but once you started scaling, it turned into spaghetti code.
Procedural scripting
makes it hard to make changes as your code gets more complex.
Manually structuring process
steps and figuring out
dependencies is tedious
and time consuming.
Observability tools rely on complex code scans that lack details and are prone to inconsistency and errors.
Scale reliably with DataForge:
the Declarative Data Management Platform
Create reusable transformation code blocks
Build Transformations
DataForge’s functional code architecture lets developers align with software development best practices, making it easy to build new use cases, and easily update existing ones as you scale.
Allow auto-orchestration to cut your workload
Orchestrate pipelines
DataForge automates the sequence of functional code snippets and addresses all dependencies — so you can do your orchestration work in a fraction of the time.
See every detail in the observability repository
Monitor data flow
DataForge lets you monitor all of your data and infrastructure natively, including the most detailed pieces of code and data structures.
“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