You want to leave your archaic data environment behind forever. But you can’t compromise on data privacy. Do it. Replace your massive oil-tanker-sized stack. Get a cleaner, modular platform that keeps data in your own private environment.
Get Your Secure Data PlatformA fully managed Datacoves environment with all the core tools you need for fast, low-maintenance data engineering.
A full Datacoves installation deployed inside your cloud environment that ensures security, agility, and confidence.
Managed versions of the same core tools are available in both plans. You can also opt to bring-your-own tool instead.
Unlimited users
Unlimited projects
Unlimited environments
Managed upgrades
Bring your own tools (if you prefer them to available options)
API integration
Managed Airbyte
Browser-based IDE (VS Code)
Any VS Code extension
Unrestricted Python libraries
Datacoves Co-pilot with MCP integrations
Git Integration
Private Git server access (inside your network)
CI/CD
Managed dbt Core
dbt Catalog (Basic)
Managed Airflow
Dedicated Airflow user environments
Datacoves Mesh
Managed DataHub
Managed Grafana
Proactive alerts (email, Slack, Teams)
Managed Superset
Deployed in your cloud (AWS/Azure/GCP)
SSO + MFA
Datacoves managed SSO
Integrates with your enterprise SSO
AWS Secrets Manager integration
Add-ons are available with any plan.
Dedicated onboarding and training teaches your team new ways of working. You’ll drive better quality data and insights for internal users.
Get supported from a dedicated RSA who’s on-call to help answer any question you have. Great for teams who want to accelerate their transformation journey.
An MVP implementation that gets you writing and running code almost from day one. You’ll receive a working, end-to-end use case that you fully own and can continue to run. Even if you choose not to stay on Datacoves.
You can rely on Datacoves support to quickly respond to questions, resolve issues, and guide you with expertise. Fully integrated into your Teams/Slack or email.
And other frequently asked questions.
Contact UsYou get a fully secure, managed environment with best-practice tooling already integrated (dbt, Airflow, DataHub, Git, CI/CD) when you use Datacoves. You also get the flexibility of bringing your own tools and using the parts of the platform that are useful to you. Your team can build, test, and ship data products with speed and confidence.
Yes. Datacoves integrates with your existing warehouse, enterprise Git, SSO, ingestion tools, and CI/CD pipelines, giving you operational agility without forcing you to change the systems that already work for you.
Absolutely. Datacoves bakes proven engineering patterns into the platform (version control, testing, CI/CD, orchestration), making it easy for your team to adopt reliable, repeatable workflows without needing deep software engineering expertise up front.
You’ll get built-in best practices, hands-on onboarding, and clear workflows that make modern data engineering feel intuitive.
Your initial MVP typically takes as little as 6 weeks of build time, even for large enterprises. You’ll likely begin shipping production-ready pipelines within days once the architectural foundation is setup.
No. You’ll get an MVP that uses the standard functionality of dbt, Airflow, your data warehouse, and other existing tools. You can reuse all artifacts (including your governance rules) even if you decide not to move forward with Datacoves.
No. Datacoves uses standard dbt, Airflow, and VS Code functionality. Your code is always yours. If you ever choose to move off Datacoves, you can take your code and run it on another platform.
Yes. You can start with a fully managed sandbox on our SaaS offering at no cost. You’ll experience the platform’s speed, security, and built-in expertise before committing. If you require Datacoves to be deployed in your own network, there may be a setup charge.

“The Datacoves team was willing to work with how we wanted to work, and that was super important to us. Part of that was setting up the platform on our own “internal” AWS accounts so we could maintain our privacy. ”

“Some of the tools we looked at didn’t allow for private deployment. We couldn’t use SaaS products because we wanted it in our own cloud. Datacoves made that possible.”

