dbt is the fastest growing data transformation tool for a reason. We manage dbt Core so you can transform, test, and document your data with in integrated process. We manage dbt versions and upgrades, orchestration with Airflow, and hosting of dbt-docs at no additional cost for viewers.
Managed VS Code
We host the most popular IDE for dbt development, Visual Studio Code. Developers can get up and running in minutes, with nothing to install. We enhance the development experience by bundling the best libraries and extensions like; Datacoves Power User, SQLFluff, chatGPT, and dbt-coves so your team can work efficiently.
We make Airflow simple for dbt pipelines and scale with the power of Kubernetes. You can use Python or Yaml based DAG configurations that integrate Extract and Load with Transform. We also give you the flexibility to integrate additional Python dependencies and custom Docker containers for ML scripts, activation steps, or anything else you want to orchestrate with Airflow.
Whether you need to consume your data from a BI tool, like our optional Superset, share the data with your partners via a Data Cloud, sent it to an activation tool, or feed a graph database, we've got you covered. And with Airflow you can connect the end-to-end process.
We like Snowflake and provide accelerators to set up the platform and manage permissions. However, we support Databricks, BigQuery, Redshift, Synapse, or any data platform that has a dbt adapter.
What our clients have to say
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.
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.
Learn what we do with your data here. We also understand that SaaS is not for everyone so we built Datacoves to be deployed in your private cloud. Customers with GDPR and sensitive data requirements sometimes choose to run Datacoves within their cloud account (Azure, AWS, or GCP)
Datacoves runs on modern browsers such as MS Edge and Google Chrome. No special requirements are needed on the user’s computer. This is what allows us to get new users up and running in minutes. Deliver insights and leave the infrastructure to us.
While Datacoves is not open source, it is built on open components to which we also contribute. There is no vendor lock-in as customers can recreate what we have done, but trust us, this is not simple.
Datacoves is an enterprise DataOps platform with hosted VS Code for dbt development and Airflow. We enable you to implement data management best practices without compromising data security.
We provide an end-to-end solution that re-bundles the different tools needed to build data-driven insights. Out of the box we provide Airbyte for data extraction and loading, a familiar VS Code dbt-core development environment, Airflow for orchestrations, and Superset for visualization. Customers may opt out of certain components of the stack or use them in addition with other tools like Fivetran and Looker.
Datacoves is an alternative to dbtCloud. Like dbtCloud we offer a development IDE for working with dbt-core. Additionally, we provide tools for loading, orchestrating, and visualizing data.
Don’t hesitate to reach out to us from the contact us form above.