Alternatives

Products that do what QuantyDatabase does

High Performance CoW Rust Database with Time Travel!

1. 1BA
   BedquiltDB – A Mongo-like JSON doc store built on Postgres▲145

   2016 · bedquiltdb.github.io

2. 2
   QoreDB▲95

   The fast, open-source database client built with Rust

   Mar 2026

3. 3
   HelixDB▲105

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

   Feb 2026

4. 4QI
   Quantra.io, a quantitative finance API made with Quantlib▲90

   2017 · quantra.io

5. 5
   QuestDB▲194

   Fastest open source database for time-series and analytics

   2020

6. 6T2
   TerminusDB 2.0 - time traveling FOSS database that stores data like Git▲13

   2020 · github.com

7. 7
   bit.io▲130

   All your data in one place

   2021

8. 8
   Quanty▲104

   AI powered market analysis platform with GraphQL API

   2024

9. 9
   CapybaraDB Beta▲112

   Semantic search made easy

   2025

10. 10TA
    TheBigDB - A simpler open database of facts▲133

    2013 · thebigdb.com

11. 11RI
    Restdb.io – a plug and play database service▲101

    2016 · restdb.io

12. 12MM
    Monty, Mongo tinified. MongoDB implemented in Python▲65

    2021 · github.com

13. 13SS
    SirixDB – Storing and Querying of Temporal Data (Java and Open Source)▲13

    I'm developing a storage system for versioning data at the subfile level, especially well suited for SSDs due to its log-structured COW nature. It implements a novel versioning algorithm called sliding snapshot, a diff-algorithm which makes use of our stable record-identifiers and optionally hashes, another diff algorithm for importing similar XML-documents as a versioned resource as well as novel XPath axis to navigate not only in space, but also in time. Recently, I've implemented a higher level, asynchronous REST-API with Kotlin (Coroutines) and Vert.x in a seperate module. The system is…

    2018

14. 14TS
    ToroDB Stampede: Automagical MongoDB to PostgreSQL, 100x Faster Queries▲43

    2016 · torodb.com

15. 15AE
    An example GraphQL server written in Rust▲74

    2020 · github.com

16. 16
    PipelineDB▲62

    Realtime analytics database

    2014

17. 17DM
    DB Migrations as Clojure data▲31

    2014 · github.com

18. 18RA
    Rxdb – A fast, reactive, client-side database▲52

    2017 · github.com

19. 19DL
    Database Labs – Postgres as a Service▲46

    2014 · databaselabs.io

20. 20AD
    Atomic Database: A deductive database with a natural language interface▲12

    Hello HN! I've been working on Atomic Database[1] for almost exactly a month now, having restarted from an earlier Hackathon prototype version. Atomic Database is a deductive database like Datalog that has a useful GUI interface, a natural language query system, smart metadata storage, and gradual typing capabilities. The actual database backend of all this is based on Entity Attribute Value triples currently (I don't forsee changing it, as yet!). This is still very much a prototype, but I feel like I'm at the stage in its evolution where I need some outside input and, possibly, help. To…

    2019

21. 21TS
    Time series database by the creator of fasthttp Go package▲6

    2020 · github.com

22. 22BA
    Bitdeli, a scripting platform for real-time data▲33

    Hi fellow HNers, We just opened up Bitdeli for free public beta at https://bitdeli.com Bitdeli allows you to process real-time data with plain Python scripts and access the results over a friendly HTTP API. You can use it to create live visualizations and dashboards without having to worry about servers. See examples here: http://bl.ocks.org/2009621 and http://bl.ocks.org/1983818 We would love to hear your feedback and comments!

    2012

23. 23AA
    Aion a Rust Database▲6

    May 2026 · github.com

24. 24T1
    TiDB 1.0 is production ready▲19

    Two and a half years ago, Edward, Dylan, and I started this journey to build a new database for an old problem that has long plagued the infrastructure software industry. Today, we are proud to announce that this database, TiDB, is production ready. Abraham Lincoln once said, ‘the best way to predict the future is to create it.’ The future we predicted 771 days ago we now have created, because of the hard work and dedication of not just every member of our team, but also every contributor, user, and partner in our open source community. Today, we celebrate and pay gratitude to the power of…

    2017

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