Users assured of interoperability of Airbyte data integration platform and Google Cloud BigQuery data warehouse

Airbyte, creators of the fastest-growing open-source data integration platform, announced that it has successfully achieved the Google Cloud Ready – BigQuery designation.

By earning this designation, Airbyte has proven its product has met a core set of functional and interoperability requirements when integrating with BigQuery. This designation enables users to have confidence that Airbyte works well with BigQuery.

“long tail” data connectors are not supported by closed-source ELT technologies. Second, data teams often must do custom work around pre-built connectors to make them work within their unique data infrastructure. ”

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Google Cloud Ready – BigQuery is a partner integration validation program that intends to increase the customer confidence in partner integrations into BigQuery. As part of this initiative, Google Cloud engineering teams validate partner integrations into BigQuery in a three-phase process – run a series of data integration tests and compare results against benchmarks, work closely with partners to fill any gaps and refine documentation for mutual customers.

As part of the program, Airbyte will have more opportunities to collaborate with Google Cloud engineering and BigQuery teams.

With its growing community of 7,000 data practitioners and 300 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 20,000 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 must do custom work around pre-built connectors to make them work within their unique data infrastructure.

“Earning this designation with Google is another important step towards our goal to be the standard for data movement across platforms,” said Michel Tricot, CEO of Airbyte. “Now, users have additional assurance that Airbyte can be used seamlessly with BigQuery.”

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