Delta Lake and Iceberg communities collide – in a good way
Databricks, a leader in machine learning and data lakes, is taking significant steps to enhance the open source Iceberg table format after acquiring startup Tabular, founded by the original developers of Apache Iceberg. This collaboration between two rival table formats marks an exciting shift in the data analytics landscape, allowing for improved efficiency and cost reduction in large-scale projects.
Key Points
- Databricks has acquired Tabular, enhancing the Iceberg table format preferred by major players like Snowflake and Google.
- Collaboration focuses on improving data analytics efficiency by enhancing interoperability between Iceberg and Delta Lake formats.
- Ryan Blue, co-creator of Iceberg, highlights benefits of cooperation in tackling shared challenges, such as delete file granularity.
- Upcoming Iceberg v3 will introduce features like geospatial data and improved handling of unstructured data.
- Snowflake aims to boost performance of its analytics engines on Iceberg tables in light of this collaboration.
Why should I read this?
If you’re in the data space, this article is a must-read! It dives into the collaboration between two heavyweights in table formats, laying out the potential benefits for data analytics. With big names like Databricks and Snowflake involved, keeping up with these developments could seriously impact your approach to data management. Plus, we’ve done the legwork for you – so grab a coffee and get clued up!
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