Databricks, valued at $62 billion, is enhancing the open-source Iceberg table format after acquiring Tabular, the company behind it. Iceberg, developed initially at Netflix, supports multiple query engines and seeks to improve data movement efficiencies in analytics. Despite having its own competing table format, Delta Lake, Databricks is now fostering collaboration between the two formats, leading to improved solutions and innovation. The integration highlights a shift towards cooperative development within the analytics community, benefiting users by combining the strengths of both technologies.
"We were looking at problems and saying, 'Iceberg is read optimized, Delta is write optimized, and together we can leverage the strengths of each to create a more powerful data strategy for our users.'"
"Being part of Databricks is helping the development community solve problems previously considered off-limits, leading to enhanced features and interoperability between Iceberg and Delta."
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