Software Alternatives, Accelerators & Startups

Datahike

A durable datalog database adaptable for distribution.

Datahike

Datahike Reviews and Details

This page is designed to help you find out whether Datahike is good and if it is the right choice for you.

Screenshots and images

  • Datahike Landing page
    Landing page //
    2023-08-22

Features & Specs

  1. Persistence

    Datahike is a persistent database, which means that it retains data across sessions and can be relied upon for storage that survives application restarts.

  2. Datalog queries

    Datahike supports Datalog queries, a powerful and expressive query language that is similar to Prolog, allowing for complex querying of data relationships.

  3. Schema flexibility

    Datahike provides schema flexibility that allows developers to define and evolve their data models without needing to perform migrations. This can significantly speed up development.

  4. Immutable data structures

    By utilizing immutable data structures, Datahike allows safe concurrent reads and writes, reducing the risk of data corruption and improving application stability.

  5. Transactional support

    Datahike offers ACID-compliant transactions, ensuring data integrity and consistent state even in the face of concurrent operations.

  6. Integration with Datomic API

    Datahike is designed to be compatible with the Datomic API, making it easier for developers familiar with Datomic to transition and leverage their knowledge.

  7. Off-the-shelf scalability

    The architecture of Datahike is conducive to scaling horizontally, providing flexibility to handle growing amounts of data and user load.

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Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Datahike and what they use it for.
  • The Ten Rules of Schema Growth
    Datahike [0] provides similar functionality to datomic and is open source. It lacks some features however that Datomic does have [1]. [0]: https://github.com/replikativ/datahike. - Source: Hacker News / almost 2 years ago
  • Is Datomic right for my use case?
    You can also consider other durable Datalog options like datahike or datalevin which can work either as lib (SQLite style) or in a client-server setup; if you want to play with bi-temporality XTDB is a rock solid option with very good support and documentation. Source: about 2 years ago
  • Max Datom: Interactive Datomic Tutorial
    Oh really interesting. I didn't know about that. I was actually going threw the old Mendat code base and was considering using that. I would really like a pure Rust version of Datomic for embed use cases. There is all also Datahike, that is going in that direction too. It is maintained and actively developed. https://github.com/replikativ/datahike. - Source: Hacker News / over 3 years ago
  • Show HN: Matrix-CRDT โ€“ real-time collaborative apps using Matrix as backend
    Having an Datomic like store backed by something like this. https://github.com/replikativ/datahike Is an Open Source variant of Datomic. Lambdaforge wants to eventually have this work with CRDTs. Using the Matrix ecosystem for this is quite interesting as it solves many problems for you already. - Source: Hacker News / over 3 years ago

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Is Datahike good? This is an informative page that will help you find out. Moreover, you can review and discuss Datahike here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.