DataOps Software
Three products that do three different jobs: write the tests, watch the journey that produces the data, and run the pipelines. Two of them are open source and install in your own environment today.
Key points
- Three products: DataOps Data Quality TestGen writes the tests, DataOps Process Observability watches the journey that produces the data, and DataOps Automation runs the pipelines.
- TestGen and Observability are Apache 2.0 open source. They install in your own environment, with no trial, no sales call, and no usage meter.
- Pricing is per user and per connection. There is no per-table charge and no credit meter, so widening your test coverage does not raise the bill.
- Nothing here replaces your stack. TestGen profiles the databases you already run, and Observability watches the tools you already orchestrate with.
- The two open-source products are the same code the paid editions are built on, so what you prove in a proof of concept is what you keep.
Two ways to see it work
Install the open-source edition and profile your own tables, or have us walk you through the enterprise features on your stack. Pricing is published either way: per user and per connection, with no per-table charge.
Comparing tools? The comparison pages put TestGen head to head with every major data quality and observability vendor, and pricing is on the site rather than behind a call.
Frequently Asked Questions
Common questions about DataKitchen's DataOps software
What software does DataKitchen make?
Three products. DataOps Data Quality TestGen profiles your tables and generates data quality tests from what it finds. DataOps Process Observability monitors every data journey end to end, across the tools and teams that produce it. DataOps Automation orchestrates the pipelines and manages the environments underneath both.
Which product should I start with?
TestGen, in most cases: it is open source, installs on a laptop, and profiles a first table in under an hour, so you learn what is actually wrong with your data before deciding anything. Start with Observability instead if you already know the data is broken and the problem is that you hear about it from a business user rather than from a test.
Which products are open source?
TestGen and Observability, both Apache 2.0, both installable in your own environment with no trial period and no sales conversation. Automation is the enterprise platform. The open-source editions are the same code the paid editions build on, so a proof of concept carries over rather than being thrown away.
Do these replace my data stack?
No. TestGen connects to the databases you already run — Snowflake, Databricks, BigQuery, Redshift, Postgres, SQL Server and seven more — and Observability watches whatever orchestrates them. Nothing is re-platformed and no data is copied out to a vendor cloud.
How is this priced?
Per user and per connection, published on the pricing page. There is no per-table charge and no consumption meter, which matters because usage-based pricing penalizes the one behavior a data quality tool is supposed to encourage: testing more of your data.