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Dev tools · alternatives · 2026

HO

24 alternatives to HydraDB OSS

Now open source: the fastest, cheapest graph DB

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    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…

    2023 · hydra-so.notion.site · its alternatives →

  2. 2WH
  3. 3

    Graph databases as-a-service

    2014 · graphenedb.com · its alternatives →

  4. 4

    A distributed, fast open-source graph database featuring horizontal scalability and high availability - GitHub - vesoft-inc/nebula: A distributed, fast open-source graph database featuring horizontal scalability and high availability

    2020 · github.com · its alternatives →

  5. 5

    Fast, reliable graph database built for the cloud

    2017 · aws.amazon.com · its alternatives →

  6. 6TA
  7. 7

    Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…

    2025 · github.com · its alternatives →

  8. 8HO

    hi hn, hydra ceo here hydra is an open-source extension that adds columnar tables to Postgres for efficient analytical reporting. With Hydra, you can analyze billions of rows instantly without changing code. demo video (5 min): https://youtu.be/1yzxgb0Oyrw github repo: https://github.com/hydradatabase/hydra For 1.0 GA release, aggregate queries are over *60% faster* than Hydra beta due to aggregate vectorization. Spatial indexes (gin, gist, spgist, and rum indexes) and pg_hint_plan are now enabled for performance optimization. postgres is great, but…

    2023 · hydra.so · its alternatives →

  9. 9
    Datomic▲73

    Distributed immutable transactional database for the cloud

    2014 · datomic.com · its alternatives →

  10. 10

    SQL on MongoDB Analytics

    2015 · slamdata.com · its alternatives →

  11. 11

    The GraphQL API for AWS

    2021 · github.com · its alternatives →

  12. 12

    The data community's workbench

    2018 · its alternatives →

  13. 13

    An open-source in-memory graph database

    2020 · its alternatives →

  14. 14

    A comprehensive and practical guide to MongoDB

    2015 · amazon.com · its alternatives →

  15. 15

    A look at modern database approaches and how Citus scales PG

    2016 · softwareengineeringdaily.com · its alternatives →

  16. 16

    Slava Akhmechet schools us on RethinkDB and the realtime web

    2015 · changelog.com · its alternatives →

  17. 17

    Realtime analytics database

    2014 · its alternatives →

  18. 18GA
  19. 19AA
  20. 20

    SQL Analytics for MongoDB, 100x faster than native queries

    2016 · torodb.com · its alternatives →

  21. 21

    Scalable, Distributed, Low Latency, High Throughput Graph DB

    2016 · docs.dgraph.io · its alternatives →

  22. 22

    The universal GraphQL API and CSPM tool for AWS, Azure, GCP, K8s, and tencent. - cloudgraphdev/cli

    2021 · github.com · its alternatives →

  23. 23RG
  24. 24AS

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →