Enterprise data automation, natively executed on Redshift
Amazon Redshift is a fully managed cloud data warehouse for analytics at scale, including both provisioned and serverless options. VaultSpeed adds an active metadata repository and model-driven automation so you define business intent once, and VaultSpeed generates deterministic, production-ready Redshift SQL that you own and run natively on Redshift with no runtime lock-in.

Redshift scales for analytics. Standardizing transformation delivery is harder.
Redshift makes it straightforward to run high performance SQL analytics. As more data products, sources, and consumers appear, transformation logic can fragment across teams. Consistency, governance, and controlled change become the real bottlenecks.
Unlock faster, governed data modeling and transformation on Redshift
Redshift provides strong enterprise capabilities, including fine-grained access controls and AWS-native governance integrations. Scaling delivery still requires a consistent way to translate business intent into governed, repeatable transformation patterns. VaultSpeed fills that gap by using active metadata as the system of record, so teams can scale without sacrificing consistency or control.


Model-driven automation, native Redshift execution
VaultSpeed adds a centralized active metadata layer on top of Amazon Redshift. You model business intent once, and VaultSpeed generates runtime-free, platform-native SQL that executes in Redshift. VaultSpeed is not a runtime engine.
Open, governed, and AI-ready
VaultSpeed generates and manages Redshift-native transformation artifacts end-to-end, combining governed execution with centralized metadata control.
Redshift-native execution, aligned to AWS governance
VaultSpeed runs natively on Amazon Redshift by generating Redshift SQL from active metadata. VaultSpeed fits into existing AWS delivery practices through APIs, Git integration, and CI/CD friendly packaging so teams can deploy in a controlled, traceable way.

Build, evolve, and govern Data Vaults in dbt without metadata complexity
4.8/5 customer rating



