Google launches Data Cloud Alliance: Databricks, Fivetran, Redis, etc.

Google Cloud just launched a new alliance called the “Data Cloud Alliance” and has attracted big names such as Accenture, Confluent, Databricks, Dataiku, Deloitte, Elastic, Fivetran, and MongoDB, Neo4j, Redis, and Starburst.

The mission of the Data Cloud Alliance is to “make data more portable and accessible across different business systems, platforms and environments”, ensuring that data access never becomes an obstacle to digital transformation.

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In fact, as early as 2020, Snowflake has already submitted a trademark registration application for “Data Cloud Alliance”. But because the company is not part of this new alliance, that registration has been abandoned.

It is reported that the Data Cloud Alliance is committed to jointly providing API and integration support, by allowing data portability and accessibility between platforms, to make the daily workflow of member customers easier and smoother – whether these platforms are used on-premises Or build on a private cloud, public cloud, or hybrid cloud.

In addition, Google said in today’s announcement that alliance members will work together to create “new common industry data models, processes and platform integrations” to improve data portability and reduce complex issues related to data governance and global compliance.

Databricks said it is exciting to work with Google to facilitate data sharing based on open standards such as Databrick’s Delta Lake. It should be noted, however, that most members of the alliance do not compete directly, but provide complementary services.

Many companies have previous experience working with Google, such as Confluent, Elastic, MongoDB, Neo4j, and Redis Labs, which have tried to integrate their services with the Google Cloud Platform. Finally, Gerrit Kazmaier, VP and GM of Google Cloud Database, Data Analytics and Business Intelligence, said:

Data is the common foundation of all digital transformations, and by driving open data standards, access, and integration between today’s most popular data platforms and applications, I believe we can dramatically accelerate business transformation and bridge the data value gap.

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