Warehouse Of Choice
Choose Your Warehouse, We Adapt to your needs
Datacoves supports any modern warehouse that has a dbt adapter. So whether you choose Snowflake, Databricks, BigQuery, Redshift, or DuckDB/MotherDuck, we integrate cleanly and securely to match your needs.
All dbt adapters
We support any warehouse with an existing dbt adapter. That means: Snowflake, Databricks, BigQuery, Redshift, and more!
Best with Snowflake
We support all dbt adapters—but we're built to shine with Snowflake. From ready-to-use security scripts to tailored macros and streamlined setup, everything in Datacoves is optimized to help you get the most out of Snowflake, fast.
Secure
Deploy in your network with PrivateLink support.
Connect easily
Simplified developer authentication with connection templates, service connections and more!
See how Datacoves help transform data operations
J&J's data evolution: Innovating with Datacoves & dbt
“Datacoves really is a framework accelerator for us. They really are bringing automation tailored to our needs.”
Bart Vandendriessche, Manager Technology Services
Read StoryFrequently asked questions
Find answers to your questions below. Contact us if you couldn't find what you're looking for.
Contact UsWhich data warehouses does Datacoves support?
Snowflake, Databricks, BigQuery, Redshift and others. Datacoves works with any warehouse that has a dbt adapter, open source or proprietary.
Can we switch data warehouses after implementing Datacoves?
Yes. Because Datacoves is built on dbt, switching warehouses involves changing the dbt adapter and updating connection profiles. There is no Datacoves-specific migration process. Teams that have moved from Redshift to Snowflake, or from BigQuery to Databricks, have done so without re-architecting their Datacoves environment.
Does Datacoves support Private Link?
Yes, Datacoves enables secure deployment within your network with PrivateLink connections to your warehouse.
How does Datacoves securely connect to our warehouse?
Datacoves supports several secure connection methods: PrivateLink for private network routing without public internet exposure, service accounts with scoped credentials, and connection templates that simplify developer authentication without exposing raw credentials. For private cloud deployments, the entire Datacoves environment and warehouse connection stay within your firewall.
Is Datacoves optimized for Snowflake?
Yes, while all dbt adapters are supported, Datacoves is built to shine with Snowflake, with ready-to-use security scripts, tailored macros, and streamlined setup.
We use Databricks. Does Datacoves work well with it?
Yes. Datacoves supports the Databricks dbt adapter and can orchestrate Databricks notebooks and jobs via Airflow alongside dbt transformations. Databricks can also serve as an ingestion layer via BYOIT (Bring Your Own Ingestion Tool), enabling an end-to-end pipeline on Databricks infrastructure managed through Datacoves.
What makes Datacoves a better choice than running dbt natively on Snowflake or Databricks?
Native dbt integrations on Snowflake or Databricks provide transformation capabilities but not orchestration, governance, or a development environment. Datacoves adds Managed Airflow for scheduling and dependency management, VS Code in the browser for development, CI/CD pipelines for testing, and a data catalog for governance, all without requiring your team to set any of this up themselves. Organizations also find the dbt within data platform providers is typically limited and not as full featured.
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”
“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.”
End-to-end data analytics with Managed dbt and Airflow
Don’t let platform limitations or maintenance overhead hold you back.
