Recent Releases
storage_engine 2.0.0
Columnar (colcompress) and row-compressed (rowcompress) Table AMs for PostgreSQL with vectorized GROUP BY aggregation, parallel scan, and zone-map pruning
pg_trickle 0.49.0
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 0.48.0
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.
pgclone 4.1.0
Clone PostgreSQL databases, schemas, tables between staging, test, dev and prod environments
pg_trickle 0.47.0
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 0.46.0
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 0.45.0
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 0.44.0
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 0.43.0
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 0.42.0
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 0.41.0
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