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AI · alternatives · 2026

24 alternatives to TuringDB – The fastest analytical in-memory graph database in C++

Hi HN, I am one of the cofounders of http://turingdb.ai. We built TuringDB while working on large biological knowledge graphs and graph-based digital twins with pharma & hospitals, where existing graph databases were unusable for deep graph traversals with hundreds or thousands of hops on (crappy) machines you can find in a hospital. https://github.com/turing-db/turingdb TuringDB is a new in-memory, column-oriented graph database optimised for read-heavy analytical workloads: - Milliseconds (1) for multi-hop queries on graphs with 10M+ nodes/edges -…

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

    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 →

  2. 2CH

    Hi HN! We're thrilled to share CozoDB v0.6, a monumental update to our FOSS database, which already unifies relational and graph features. With the addition of vector search, CozoDB becomes an even better companion for LLMs like ChatGPT. This release introduces vector search using HNSW indices within Datalog, enabling seamless integration with powerful features such as ad-hoc joins, recursive Datalog, and classical whole-graph algorithms. This update significantly broadens CozoDB's capabilities. Check out the linked release note for an in-depth look at the new features, comparisons to other…

    2023 · docs.cozodb.org · its alternatives →

  3. 3

    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 →

  4. 4TA
  5. 5IB

    We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…

    2025 · blog.kuzudb.com · its alternatives →

  6. 6WH
  7. 7

    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 →

  8. 8

    One year ago I open-sourced my very first 'real' project and shared it here. I was a college student in my senior year and desperately looking for a job. At the time of sharing it i couldn't even afford a domain and naively let someone buy the one i had my eyes on lol. It's been a hell of a year with this blowing up, me moving to another country, and switching 2 jobs. In a year we somehow managed to hit 26k stars, grow a 1000+ person discord community, and support 37 languages. I couldn't be more grateful for the community that helped this grow, but now i don't know what direction to take…

    2025 · drawdb.app · its alternatives →

  9. 9

    Hey HN, it’s been just over a year since we launched HelixDB (https://news.ycombinator.com/item?id=43975423), a project a friend and I started in college. It’s an OLTP graph database built on object-storage, with native vector search and full-text search (FTS). Why graph, vector and FTS? Graph databases provide a natural cognitive model for data, vectors allow for a semantic understanding of the entities and relationships in the graph, and FTS provides more specific filtering. Many AI-driven applications attempt to combine all of these functionalities by stitching together…

    Jun 2026 · github.com · its alternatives →

  10. 10
    MemSQL▲114

    World's fastest in-memory database

    2015 · singlestore.com · its alternatives →

  11. 11
    QuestDB▲194

    Fastest open source database for time-series and analytics

    2020 · questdb.com · its alternatives →

  12. 12

    A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends) - hugegraph/hugegraph

    2018 · github.com · its alternatives →

  13. 13

    I created a web page to compare different analytical databases (both self-managed and services, open-source and proprietary) on a realistic dataset. It contains 20+ databases, each with installation and data loading scripts. And they can be compared to each other on a set of 43 queries, by data load time or by storage size. There are switches to select different types of databases for comparison - for example, only MySQL compatible or PostgreSQL compatible. If you play with the switches, many interesting details will be uncovered. Full description:…

    2022 · benchmark.clickhouse.com · its alternatives →

  14. 14

    CogDB is an open source, persistent embedded graph database for Python with zero setup. Store relationships as triples, run vector similarity search with SIMD acceleration, and query using Torque – a fluent Python API. No server, no setup.

    2022 · cogdb.io · its alternatives →

  15. 15

    An open-source in-memory graph database

    2020 · its alternatives →

  16. 16

    Memgraph 1.0 is now production-ready, offering high-performance, in-memory graph database with Cypher support.

    2020 · memgraph.com · its alternatives →

  17. 17

    Graph databases as-a-service

    2014 · graphenedb.com · its alternatives →

  18. 18

    Embedded graph memory for AI agents, mobile apps, and the browser. - project-minigraf/minigraf

    19d ago · github.com · its alternatives →

  19. 19AG

    This is a vector index I built that supports insertion and k-nearest neighbors (k-NN) querying, optimized for GPUs. It operates entirely in CUDA and can process queries on half a billion vectors in under 200 milliseconds. The codebase is structured as a standalone library with an HTTP API for remote access. It’s intended for high-performance search tasks—think similarity search, AI model retrieval, or reinforcement learning replay buffers. The codebase is located at https://github.com/rodlaf/BinaryGPUIndex.

    2025 · rlafuente.com · its alternatives →

  20. 20

    Vector databases store memories. They don't manage them. After 10k memories, recall quality degrades because there's no consolidation, no forgetting, no conflict resolution. Your AI agent just gets noisier. YantrikDB is a cognitive memory engine — embed it, run it as a server, or connect via MCP. It thinks about what it stores: consolidation collapses duplicate memories, contradiction detection flags incompatible facts, temporal decay with configurable half-life lets unimportant memories fade like human memory does. Single Rust binary. HTTP + binary wire protocol. 2-voter + 1-witness HA…

    Apr 2026 · github.com · its alternatives →

  21. 21

    I've been exploring the (not so=) amazing potential of AI in coding and have compiled a list of tools. From AI-powered IDEs to code generators, this resource is my contribution to the community. I'm still on the fence about including txt2sql projects, as their functionality seems too basic to me. And I'm personally maintaining this, so your feedback is wellcome.

    2025 · aicode.danvoronov.com · its alternatives →

  22. 22

    I believe the best way to learn a language is by doing an in-depth project. This is my first Zig project intended for learning the ropes on publishing a Zig package. It turns out to be quite solid and performant. It might be a bit over-engineered. This little library is packed with the following features: - Building dependency graph from dependency data. - Performing topological sort on the dependency graph. - Generating dependence-free subsets for parallel processing. - Cycle detection and cycle reporting.

    2025 · github.com · its alternatives →

  23. 23
  24. 24
    HelixDB▲105

    An open-source OLTP graph-vector database built in Rust.

    Feb 2026 · helix-db.com · its alternatives →

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