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Life & fun · alternatives · 2026

24 alternatives to Graph Processing with Postgres and GraphBLAS

Accelerated Sparse Linear Algebra with Postgres and SuiteSparse - OneSparse/OneSparse

Graph Processing with Postgres and GraphBLAS is a software tool that combines PostgreSQL database capabilities with the GraphBLAS library for analyzing graph structures. It is designed for developers and data… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Graph Processing with Postgres and GraphBLAS launched in 2019; newer entries below may have overtaken it.

  1. 1

    Accelerated Sparse Linear Algebra with Postgres and SuiteSparse - OneSparse/OneSparse

    2024 · github.com · its alternatives →

  2. 2

    GraphBLAS for Python. Contribute to Graphegon/pygraphblas development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  3. 3
    Capalyze▲809

    ChatGPT for datavores: scrape → ask → visualize

    2025 · capalyze.ai · its alternatives →

  4. 4

    For the past three years I've been building what I hope will be the next Blender, tackling the lack of any good 2D design or image editing tools outside the Adobe monopoly. This was our first year participating in Google Summer of Code and this Q3 update includes the big payoff from that, covering the most progress we've made so far as a project. If you're a Rust dev, consider getting involved as we apply for the next GSoC in the new year— you could be our intern next summer :) Q3 progress report: https://graphite.rs/blog/graphite-progress-report-q3-2024/

    2024 · graphite.rs · its alternatives →

  5. 5

    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 →

  6. 6

    GraphQL for Postgres. Contribute to solidsnack/GraphpostgresQL development by creating an account on GitHub.

    2015 · github.com · its alternatives →

  7. 7

    A flamegraph generator for Postgres EXPLAIN ANALYZE output. - mgartner/pg_flame

    2019 · github.com · its alternatives →

  8. 8

    Algebraic enhancements for GEMM & AI accelerators. Contribute to trevorpogue/algebraic-nnhw development by creating an account on GitHub.

    2024 · github.com · its alternatives →

  9. 9

    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 →

  10. 10

    Contribute to Z-Gort/Reservoirs-Lab development by creating an account on GitHub.

    2024 · github.com · its alternatives →

  11. 11PN

    We've been hard at work for a few weeks and thought it's time for another update. In case you missed our first post, PostgresML is an end-to-end machine learning solution, running alongside your favorite database. This time we have more of a suite offering: project management, visibility into the datasets and the deployment pipeline decision making. Let us know what you think! Demo link is on the page, and also here: https://demo.postgresml.org

    2022 · postgresml.org · its alternatives →

  12. 12

    This is a simple graph database in SQLite, inspired by "SQLite as a document database" - dpapathanasiou/simple-graph

    2020 · github.com · its alternatives →

  13. 13

    EnterpriseDB (“EDB”), the leader in accelerating Postgres® in the enterprise, today announced its acquisition of Splitgraph, an early-stage disruptor that provides a Postgres compatible serverless SQL API for building data driven applications from hundreds of datasources. This move is seen as a mean

    2020 · splitgraph.com · its alternatives →

  14. 14
    Parsers▲300

    Extract structured data and visualize it without code

    2019 · parsers.me · its alternatives →

  15. 15

    Vectorized executor to speed up PostgreSQL. Contribute to citusdata/postgres_vectorization_test development by creating an account on GitHub.

    2014 · github.com · its alternatives →

  16. 16

    We have been using graph DBs more and more at work. I found them painful to work with locally and decided to try and build something better.

    Aug 2026 · github.com · its alternatives →

  17. 17

    Fast, gpu-based CSV parser. Contribute to antonmks/nvParse development by creating an account on GitHub.

    2015 · github.com · its alternatives →

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  19. 19

    The data community's workbench

    2018 · its alternatives →

  20. 20OA

    Yo. OtterTune is a database optimization service. It uses machine learning to automatically tune your MySQL and Postgres configuration (i.e., RDS parameter groups) to improve performance and reduce costs. It does this by only looking at your database's runtime metrics (e.g., INNODB_METRICS, pg_stat_database, CloudWatch). We don't need to examine sensitive queries or user tables. We spun this project out of my research group at Carnegie Mellon University in 2020. This week we've announced that OtterTune is now available to the public. We are offering everyone a starter account to try it out…

    2021 · its alternatives →

  21. 21QG
  22. 22

    Graph databases as-a-service

    2014 · graphenedb.com · its alternatives →

  23. 23

    Migrate from Firebase to GraphQL on Postgres

    2018 · firebase2graphql.com · its alternatives →

  24. 24

    SnapQL is an open-source desktop app (built with Electron) that lets you query your Postgres database using natural language. It’s schema-aware, so you don’t need to copy-paste your schema or write complex SQL by hand. Everything runs locally — your OpenAI API key, your data, and your queries — so it's secure and private. Just connect your DB, describe what you want, and SnapQL writes and runs the SQL for you.

    2025 · github.com · its alternatives →

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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 →