Listen to this storyDatabricks, a leading data and AI company, has announced its acquisition of Tabular, a data management startup founded by Ryan Blue, Daniel Weeks, and Jason Reid.
This strategic move aims to unify the two leading open-source lakehouse formats, Apache Iceberg and Delta Lake, to improve data compatibility and interoperability for enterprises.
This acquisition underscores Databricks’ dedication to open data formats, ensuring companies maintain control over their data and avoid vendor lock-in.
The foundation of the lakehouse is open-source data formats that enable ACID transactions on data stored in object storage, improving reliability and performance.
The introduction of Delta Lake UniForm last year was a step towards this goal, providing compatibility across Delta Lake, Iceberg, and Hudi.
Listen to this story
Databricks, a leading data and AI company, has announced its acquisition of Tabular, a data management startup founded by Ryan Blue, Daniel Weeks, and Jason Reid.
This strategic move aims to unify the two leading open-source lakehouse formats, Apache Iceberg and Delta Lake, to improve data compatibility and interoperability for enterprises.
The financial terms of the deal remain undisclosed, but industry estimates suggest the acquisition is valued between $1 billion and $2 billion.
A Shared Vision of Openness
Both Databricks and Tabular have a strong commitment to open-source formats. Databricks, known for its contributions to open-source projects, has donated 12 million lines of code and is the largest independent open-source company by revenue. This acquisition underscores Databricks’ dedication to open data formats, ensuring companies maintain control over their data and avoid vendor lock-in.
The Rise of Lakehouse Architecture
Databricks pioneered the lakehouse architecture in 2020, integrating traditional data warehousing with AI workloads on a single, governed copy of data.
This architecture, which relies on open formats, has been widely adopted, with 74% of enterprises deploying a lakehouse according to a survey by MIT Technology Review. The foundation of the lakehouse is open-source data formats that enable ACID transactions on data stored in object storage, improving reliability and performance.
Addressing Format Incompatibility
Despite their shared goals, Delta Lake and Iceberg, the two leading open-source lakehouse formats, have developed independently, leading to incompatibility.
This fragmentation has undermined the value of the lakehouse architecture by siloing enterprise data. Databricks aims to address this issue by working closely with the Iceberg and Delta Lake communities to bring interoperability to the formats.
The introduction of Delta Lake UniForm last year was a step towards this goal, providing compatibility across Delta Lake, Iceberg, and Hudi.
Future Plans and Integration
With the acquisition of Tabular, Databricks plans to invest heavily in expanding the ambitions of Delta Lake UniForm. The integration of Tabular’s technology and expertise will help Databricks enhance its data management platform, enabling companies to leverage AI more effectively.
The acquisition is expected to close in Databricks’ second fiscal quarter, subject to customary closing conditions.
This acquisition marks a significant step in Databricks’ strategy to strengthen its position in the market and offer a more powerful and versatile data management and AI solution to its customers.
