Recent Releases
pg_trickle 0.41.0
pg_trickle turns PostgreSQL 18 into a real-time data platform. Define stream tables on top of any base table and let the extension maintain materialized views incrementally — keeping only the delta in flight rather than recomputing the full result set. Built on a trigger-based CDC pipeline and a differential dataflow engine written in Rust, pg_trickle delivers sub-millisecond propagation latency with no external dependencies, no message broker, and no ETL pipeline. Your views stay fresh, your queries stay fast, and your data never leaves the database.
pg_trickle 0.40.0
pg_trickle turns PostgreSQL 18 into a real-time data platform. Define stream tables on top of any base table and let the extension maintain materialized views incrementally — keeping only the delta in flight rather than recomputing the full result set. Built on a trigger-based CDC pipeline and a differential dataflow engine written in Rust, pg_trickle delivers sub-millisecond propagation latency with no external dependencies, no message broker, and no ETL pipeline. Your views stay fresh, your queries stay fast, and your data never leaves the database.
pg_trickle 0.39.0
pg_trickle turns PostgreSQL 18 into a real-time data platform. Define stream tables on top of any base table and let the extension maintain materialized views incrementally — keeping only the delta in flight rather than recomputing the full result set. Built on a trigger-based CDC pipeline and a differential dataflow engine written in Rust, pg_trickle delivers sub-millisecond propagation latency with no external dependencies, no message broker, and no ETL pipeline. Your views stay fresh, your queries stay fast, and your data never leaves the database.
pg_trickle 0.38.0
pg_trickle turns PostgreSQL 18 into a real-time data platform. Define stream tables on top of any base table and let the extension maintain materialized views incrementally — keeping only the delta in flight rather than recomputing the full result set. Built on a trigger-based CDC pipeline and a differential dataflow engine written in Rust, pg_trickle delivers sub-millisecond propagation latency with no external dependencies, no message broker, and no ETL pipeline. Your views stay fresh, your queries stay fast, and your data never leaves the database.
storage_engine 1.3.4
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
pg_trickle 0.37.0
pg_trickle turns PostgreSQL 18 into a real-time data platform. Define stream tables on top of any base table and let the extension maintain materialized views incrementally — keeping only the delta in flight rather than recomputing the full result set. Built on a trigger-based CDC pipeline and a differential dataflow engine written in Rust, pg_trickle delivers sub-millisecond propagation latency with no external dependencies, no message broker, and no ETL pipeline. Your views stay fresh, your queries stay fast, and your data never leaves the database.
storage_engine 1.3.3
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
storage_engine 1.3.2
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
pg_trickle 0.36.0
pg_trickle turns PostgreSQL 18 into a real-time data platform. Define stream tables on top of any base table and let the extension maintain materialized views incrementally — keeping only the delta in flight rather than recomputing the full result set. Built on a trigger-based CDC pipeline and a differential dataflow engine written in Rust, pg_trickle delivers sub-millisecond propagation latency with no external dependencies, no message broker, and no ETL pipeline. Your views stay fresh, your queries stay fast, and your data never leaves the database.
storage_engine 1.3.1
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
pg_trickle 0.35.0
pg_trickle turns PostgreSQL 18 into a real-time data platform. Define stream tables on top of any base table and let the extension maintain materialized views incrementally — keeping only the delta in flight rather than recomputing the full result set. Built on a trigger-based CDC pipeline and a differential dataflow engine written in Rust, pg_trickle delivers sub-millisecond propagation latency with no external dependencies, no message broker, and no ETL pipeline. Your views stay fresh, your queries stay fast, and your data never leaves the database.
storage_engine 1.2.9
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
pg_trickle 0.34.0
pg_trickle turns PostgreSQL 18 into a real-time data platform. Define stream tables on top of any base table and let the extension maintain materialized views incrementally — keeping only the delta in flight rather than recomputing the full result set. Built on a trigger-based CDC pipeline and a differential dataflow engine written in Rust, pg_trickle delivers sub-millisecond propagation latency with no external dependencies, no message broker, and no ETL pipeline. Your views stay fresh, your queries stay fast, and your data never leaves the database.
storage_engine 1.2.8
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
storage_engine 1.2.7
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
storage_engine 1.2.4
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
storage_engine 1.2.3
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
pg_trickle 0.31.0
pg_trickle turns PostgreSQL 18 into a real-time data platform. Define stream tables on top of any base table and let the extension maintain materialized views incrementally — keeping only the delta in flight rather than recomputing the full result set. Built on a trigger-based CDC pipeline and a differential dataflow engine written in Rust, pg_trickle delivers sub-millisecond propagation latency with no external dependencies, no message broker, and no ETL pipeline. Your views stay fresh, your queries stay fast, and your data never leaves the database.
pg_trickle 0.30.0
pg_trickle turns PostgreSQL 18 into a real-time data platform. Define stream tables on top of any base table and let the extension maintain materialized views incrementally — keeping only the delta in flight rather than recomputing the full result set. Built on a trigger-based CDC pipeline and a differential dataflow engine written in Rust, pg_trickle delivers sub-millisecond propagation latency with no external dependencies, no message broker, and no ETL pipeline. Your views stay fresh, your queries stay fast, and your data never leaves the database.
storage_engine 1.2.2
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
storage_engine 1.2.1
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
pg_trickle 0.28.0
pg_trickle turns PostgreSQL 18 into a real-time data platform. Define stream tables on top of any base table and let the extension maintain materialized views incrementally — keeping only the delta in flight rather than recomputing the full result set. Built on a trigger-based CDC pipeline and a differential dataflow engine written in Rust, pg_trickle delivers sub-millisecond propagation latency with no external dependencies, no message broker, and no ETL pipeline. Your views stay fresh, your queries stay fast, and your data never leaves the database.
storage_engine 1.2.0
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
storage_engine 1.1.5
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
storage_engine 1.1.4
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
storage_engine 1.1.3
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
storage_engine 1.1.1
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
storage_engine 1.1.0
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
storage_engine 1.0.10
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
storage_engine 1.0.8
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
storage_engine 1.0.7
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
pg_trickle 0.20.0
pg_trickle turns PostgreSQL 18 into a real-time data platform. Define stream tables on top of any base table and let the extension maintain materialized views incrementally — keeping only the delta in flight rather than recomputing the full result set. Built on a trigger-based CDC pipeline and a differential dataflow engine written in Rust, pg_trickle delivers sub-millisecond propagation latency with no external dependencies, no message broker, and no ETL pipeline. Your views stay fresh, your queries stay fast, and your data never leaves the database.
storage_engine 1.0.6
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
storage_engine 1.0.5
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan
storage_engine 1.0.3
Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan