Run continuous SQL queries for high-throughput incremental time-series aggregation in PostgreSQL
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| Package | pipelinedb |
|---|---|
| Version | 1.1.0 |
| PostgreSQL versions | 10 · 11 |
| Repository | Unspecified |
| Extension type | Preloaded |
| Project status | Deprecated |
| Requires CREATE EXTENSION | Yes |
| Requires preload | Yes |
| Trusted | No |
| Relocatable | Yes |
| Shared libraries | pipelinedb |
| Schema | pipelinedb |
| Stars | 2,662 |
| Latest commit | 2019-05-01 |
| Latest release | 2019-02-19 |
| Catalogue updated | 2026-08-30 |
| pipeline_kafka | Integrate PipelineDB with Kafka for background-worker consumption, production, offsets, and lag monitoring |
| timescaledb | Enables scalable inserts and complex queries for time-series data |
| imcs | In-Memory Columnar Store extension for PostgreSQL. |
| vops | Vectorized tile types, aggregates, projections, and FDW for PostgreSQL OLAP |
| orochi | Modern HTAP PostgreSQL extension for sharding, time-series, columnar analytics, tiered storage, and vector workloads. |
| timeseries | Convenience API for time series stack |
| pg_deltax | Fast time-series extension for PostgreSQL |
| pgsampler | Experimental PostgreSQL background worker that collects time-series status and performance metrics. |
| pg_statviz | Capture PostgreSQL statistics snapshots for time-series analysis and visualization |