Easier and faster to prepare data for analytics – dbt Cloud customers can now schedule transformations directly within Airbyte Cloud

Airbyte, creators of the fastest-growing open-source data integration platform, announced a deeper partnership with dbt Labs, the pioneer in analytics engineering. The partnership now includes a new integration that allows dbt Cloud customers to trigger dbt jobs from directly within Airbyte Cloud.

The integration brings together two of the leading open-source products in the data ecosystem, making it simpler than ever to move and transform data, while minimizing the risk of lock-in. Airbyte helps move data from a collection of sources, and dbt helps organize that data for analysis by, for example, consistently defining key business logic or standardizing data structures.

“Our companies already share hundreds of users and now they will see the integration of our Cloud products, making it simple to use the two together,” said Michel Tricot, co-founder and CEO of Airbyte. “With partners like dbt Labs, we are building a more open modern data stack to better serve the data community.”

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“We’re thrilled to deepen this partnership with Airbyte, a company with whom we are aligned regarding the importance of open standards in the data ecosystem,” said Nikhil Kothari, director of technology partnerships at dbt Labs. “This partnership and integration will help better serve our joint users, customers, and the data community as a whole.”

With its growing community of 10,000 data practitioners and 600 contributors, Airbyte is redefining the standard of moving and consolidating data from different sources to data warehouses, data lakes, or databases in a process referred to as extract, load, and, when desired, transform (ELT). Over the past year and a half, more than 25,000 companies have used Airbyte to sync data from sources such as PostgreSQL, MySQL, Facebook Ads, Salesforce, Stripe, and connect to destinations that include Redshift, Snowflake, Databricks, and BigQuery.

Airbyte’s open-source data integration solves two problems. First, companies always have to build and maintain data connectors on their own because most less popular “long tail” data connectors are not supported by closed-source ELT technologies. Second, data teams often have to do custom work around pre-built connectors to make them work within their unique data infrastructure.

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dbt Cloud enables data teams to develop faster and collaborate more effectively to build and deploy production-grade data pipelines with version control and CI/CD, pre-production testing and documentation of models, modular SQL modeling, and dependency management built in. dbt Cloud provides a centralized development experience to safely deploy, monitor, and investigate transformation code with a web-based user interface.