Salesforce is kicking off Dreamforce, its global event, with some major partner announcements. The Marc Benioff-led CRM software company announced that its proprietary Salesforce data Cloud will support bi-directional data foundations with Databricks data lakehouse platform.
The upcoming implementation is scheduled to launch at a later date, with the intention of providing a means for customers who utilize both companies' services to enhance their data sets. This will enable them to tackle a wider range of business-critical problems by creating and utilizing more advanced models. The benefits of this integration include the ability to build and deploy more capable solutions, thereby maximizing the efficiency and efficacy of their operations.
“Access to trusted, governed data is critical for every company, and the ability to combine that data with AI is now essential to remain competitive. Delivering best-in-class integrations with Salesforce builds on our longtime partnership, unlocking massive value for our mutual customers,” Adam Conway, SVP of products at Databricks, said in a statement.
He added, "It is important to note here that Databricks isn’t the only one linking up with Salesforce for these benefits. Last Friday, Snowflake, the Ali Ghodsi-led company’s arch-rival, also announced a similar strategic partnership to connect its data cloud with Salesforce’s data platform."
Salesforce has recently unveiled its zero-ETL integration, aptly named BYOL or Bring Your Own Lake. This new integration will effectively create the appearance of a unified data source, even though it is sourced from multiple platforms. This is accomplished by housing the data at a single location while maintaining the highest levels of governance, security, and trust. Along with data foundations with Databricks, this ensures that users can access and manipulate the data as if it were all located in one place, without compromising on critical security and governance requirements. Overall, the BYOL integration represents a major leap forward in data integration, making it easier and more seamless than ever before.