MayaData

MayaData drives data agility by removing barriers to the adoption of stateful workloads in highly agile Kubernetes environments. The job it does: automating builds, tests and deployments every time code changes.

The natural audience is engineering teams. Alongside the main category they mention DevOps and Open Source. As a mid-sized product team themselves (51 to 200 people), they tend to serve customers of a similar scale best.

MayaData is based in San Jose, California and founded in 2017. You can read more at mayadata.io.

Before you commit, look at build minutes pricing, caching, and integrations with your repo. Ask for a trial on your own data, not a canned demo.

Every review on Revaw shows how it was verified, so if you know MayaData well, your review carries weight here.