I really like that working in Datacoves feels very familiar if you're used to VSCode. It makes dbt development very easy, and I appreciate the Airflow integration, which is nice. A major highlight is their support team, who are always quick to reply to issues, questions, and feature requests. Their documentation is very helpful for setting up different jobs or dbt configs. The initial setup was very straightforward, supported by detailed guides and quick assistance from the Datacoves team.

Before Datacoves, we were juggling multiple tools to manage dbt and orchestration — some hosted, some open source — and it created unnecessary complexity, especially as our team scaled and adopted multiple dbt projects. We knew we wanted the flexibility of dbt Core and Airflow, but building and maintaining that ourselves was complex. Datacoves helped us streamline everything. They provided guidance on how to simplify our project structure, consolidate projects, and set up best practices that would’ve taken us longer to figure out on our own. Now, every developer on our team has a consistent, ready-to-go workspace with dbt, Python, Git, and Airflow — all accessible through a browser-based VS Code. No local setup struggles, no flaky, and no confusion about where things run. Their shared and user specific Airflow instances have been especially valuable. With separate dev and team environments, integrated Git syncing, and managed secrets, we’ve gained reliability without giving up flexibility. Datacoves gave us the best of open source, with none of the overhead. And their team is genuinely helpful, they feel like an extension of our own.

Datacoves added copilot and model lineage right in vs code