15 minutes. No pitch. Just a practical look at your data stack.
Tell us about your setup so we can make the conversation useful. Most people say it's the best vendor call they take.
In 15 minutes, we'll:
- Review your current data stack and where the friction is
- Show you what a production-ready environment looks like for your team
- Tell you honestly whether Datacoves fits your situation
Trusted by data teams at J&J, Guitar Center, and more.
Book a Free Architecture Review
Why do enterprises trust Datacoves for managing data?
“Datacoves enabled us to reduce time to market by delivering a secure pre-configured environment for dozens of Analytics Engineers and to implement best-in-class DataOps processes on a dbt and Snowflake foundation”
“We were starting nearly from scratch, in terms of data development tooling, and Datacoves offered a solution that was: comprehensive, enterprise-ready, turnkey, flexible and modern. It also helped that we had a great experience with company leaders and the cost was very competitive.”
“Without Datacoves I would have needed a whole team to get all of these services put together and integrated”
Frequently asked questions
Find answers to your questions below. Contact us if you couldn't find what you're looking for.
Contact UsIs Datacoves a dbt Cloud Alternative?
Yes, Datacoves is a powerful dbt Cloud alternative. Our managed dbt Core and Airflow platform, VS Code in the browser, and other tools are designed for a seamless end-to-end process that can have you gathering insights in no time. Our platform simplifies the dbt Core experience, bridging the gap between dbt Core and dbt Cloud while mitigating the challenges associated with a pure dbt Core setup. Find out how Datacoves' pricing compares to dbt Cloud pricing.
How does code go from development to production?
Datacoves users follow standard dbt-core development standards. New features are created on a branch, they are then pushed to a git server like GitHub where they are tested. Once the change is approved, the branch is merged into the repo’s main branch. The main branch is picked up by Airflow and jobs run as scheduled.
How is data processed by the Datacoves IDE?
When previewing queries in our IDE the resulting data passes through our infrastructure on the way to your browser, but we do not store it. Furthermore, by default, we limit query previews to 500 lines.