PipelineDB v1.0.0

What it does

PipelineDB v1.0.0 is an open-source PostgreSQL extension than enables high-performance time series data aggregation

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  PipelineDB2014 · ▲62

  Realtime analytics database

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  QuestDB2020 · ▲194

  Fastest open source database for time-series and analytics

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  Hydra 1.0 – open-source column-oriented Postgres2023 · hydra-so.notion.site · ▲269

  hi hn, hydra ceo here hydra is an open source, column-oriented postgres. you can set up remarkably fast aggregates on your project in minutes to query billions of rows instantly. postgres is great, but aggregates can take minutes to hours to return results on large data sets. long-running analytical queries hog database resources and degrade performance. use hydra to run much faster analytics on postgres without making code changes. data is automatically loaded into columnar format and compressed. connect to hydra with your preferred postgres client (psql, dbeaver, etc). following 4 months…

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  Pg_deltax, Apache-licensed alternative to TimescaleDBMay 2026 · github.com · ▲39

  Fast time-series extension for PostgreSQL. Contribute to xataio/deltax development by creating an account on GitHub.

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  Goodreads Data Pipeline2020 · github.com · ▲213
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  Arc – high-throughput time-series warehouse with DuckDB analyticsOct 2025 · github.com · ▲30

  Hi HN, I’m Ignacio, founder at Basekick Labs. Over the past months I’ve been building Arc, a time-series data platform designed to combine very fast ingestion with strong analytical queries. What Arc does? Ingest via a binary MessagePack API (fast path), Compatible with Line Protocol for existing tools (Like InfluxDB, I'm ex Influxer), Store data as Parquet with hourly partitions, Query via DuckDB engine using SQL Why I built it: Many systems force you to trade retention, throughput, or complexity. I wanted something where ingestion performance doesn’t kill your analytics. Performance &…

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