Accelerate insights, not infrastructure
Skip the setup headaches. Datacoves gives you production-ready dbt and Airflow so your team can focus on building reliable data pipelines and driving business results.
Develop instantly in a familiar VS Code environment, complete with your favorite extensions and full terminal access. Pre-configured with dbt-coves and Datacoves enhancements for accelerated dbt development.
Use any Python library you need to develop your models and DAGs seamlessly. Flexibility at your fingertips.
Develop your DAGs in real-time with a single click. Immediate feedback, faster iterations.
Don’t let platform limitations or maintenance overhead hold you back.
See it in Action
Out-of-the-box Single Sign-On integration. No hassle, just secure access.
Worry-free upgrades handled for you. Always develop on the latest and greatest without the headache. Onboard developers in minutes, not weeks.
AI assistance to streamline your development, saving you countless hours. Your intelligent partner in coding using your ChatGPT or secure Azure OpenAi.
“Datacoves really is a framework accelerator for us. They really are bringing automation tailored to our needs.”
Bart Vandendriessche, Manager Technology Services
Read StoryFind answers to your questions below. Contact us if you couldn't find what you're looking for.
Contact UsYes, Datacoves supports private cloud deployments on AWS or Azure, with integrations for Jenkins, Github, GitLab, EntraID, Cortex, Claude Code, and more.
No, Datacoves provides white-glove service: our team installs, upgrades, and troubleshoots within your firewall.
Running dbt and Airflow yourself requires infrastructure investment before you deliver any insights. Datacoves removes that overhead so your team focuses on data, not DevOps.
Most teams are in a production-ready environment within days. Datacoves ships a fully preconfigured Turnkey Developer Environment including VS Code in the browser, dbt, Airflow, and SSO so no lengthy infrastructure setup is required. Developers can be onboarded in minutes. A private deployment can be done in weeks.
dbt Cloud is focused on dbt. Datacoves bundles managed dbt, managed Airflow, VS Code in the browser, flexible ingestion, and governance tooling into one platform so your team gets orchestration, development, and governance without stitching together separate subscriptions. Datacoves also supports private cloud deployments, which dbt Cloud does not.
Upgrades are fully managed by the Datacoves team, your engineers only need to coordinate to schedule them. Your team is in control when versions of dbt are rolled out to specific environments. You also have the ability to move ahead of the Datacoves shipped dbt version by leveraging our custom docker image process. Every upgrade can be tested and validated before it reaches your production environment.
Yes. Datacoves connects to your existing Git repository, so your dbt models and Airflow DAGs move over without restructuring. Datacoves has helped teams migrate from both self-managed setups and dbt Cloud with minimal disruption.
Datacoves integrates with GitHub, GitLab, Bitbucket, and Azure DevOps, Jenkins and can work with other git or CI/CD providers. When a developer pushes a branch, CI/CD pipelines run automated tests before the merge. Once code merges to main, Airflow picks it up and executes jobs on schedule. Standard dbt workflow, production-ready from day one.
The Datacoves team handles installation, upgrades, and troubleshooting directly within your environment. For private cloud deployments, your team doesn't manage Kubernetes, Docker images, or Airflow infrastructure. Datacoves engineers work inside your firewall so your data team stays focused on delivering insights. When feasible, Datacoves engineers are also able to communicate via existing tools like Slack or MS Teams for faster collaboration.
Datacoves Co-pilot works inside the VS Code browser environment, suggesting dbt model logic, generating documentation, and flagging issues as you write. It supports most LLMs including ChatGPT, Anthropic, and Azure OpenAI and more. In Datacoves, you can also use CLIs such as Snowflake CoCo (Cortex Code), Codex, Github Copilot, Gemini, Claude Code, etc. We will work with organization's standard so no data leaves your control.
“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”
“Without Datacoves I would have needed a whole team to get all of these services put together and integrated”
“Datacoves solves the infrastructure problem. Datacoves packages together all the tools needed to support data teams of all sizes.”
“The stability, Kubernetes-backed scalability, and overall reliability of the Airflow environment have been the cornerstone of achieving our data system goals.”
“We have a background in Data Architecture, but building a way of managing dbt and Airflow together would have been a project in itself.”
Don’t let platform limitations or maintenance overhead hold you back.
Datacoves is an enterprise DataOps platform with managed dbt Core and Airflow for data transformation and orchestration, as well as VS Code in the browser for development
