Cloudera adopts Apache Iceberg, battles Databricks to be most open in data tables
Benefits are set to include support for schema and partition changes as a single command, time travel with point-in-time queries for forensic visibility and regulatory compliance capabilities, and concurrent multi-function analytics to deliver end-to-end data lifecycle needs. Performance is also set to improve with aggressive partitioning to handle very large-scale data sets, Cloudera said.However, Cloudera is not the only data late or lakehouse vendor to commit to an open-source path.
Databricks, the company originating as an Apache Spark vendor, has also donated its storage format layer to the open-source community. The latest iteration, Delta Lake 2.0, was announced last week at the Data and AI Summit. “Delta Lake 2.0 will bring unmatched query performance to all Delta Lake users and enable everyone to build a highly performant data lakehouse on open standards. With this contribution, Databricks customers and the open-source community will benefit from the full functionality and enhanced performance of Delta Lake 2.0,” Databricks said.
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