Predictive IO Databricks


          Predictive IO Databricks

Predictive I/O is a set of optimizations within Databricks that leverages machine learning to improve performance for data interactions. It consists of two main categories:

Accelerated Reads: Reduces the time taken to scan and read data by:

  • Determining the most efficient way to access data.
  • Only scanning the data is required for query results.
  • Eliminating unnecessary decoding of columns and rows.

Accelerated Updates: Reduces the amount of data rewritten during updates, deletes, and merges. This is achieved through Deletion Vectors, which track deleted rows using compressed bitmap files.

Key benefits of Predictive I/O:

  • Faster query performance for both reads and updates.
  • Cost savings due to efficient data access and storage.
  • Automatic optimization with no additional configuration required.


Predictive I/O for reads is generally available and enabled by default for Databricks SQL Pro and Serverless. Predictive I/O for updates is in public preview.

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