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Datahike VS Immutable.js

Compare Datahike VS Immutable.js and see what are their differences

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Datahike logo Datahike

A durable datalog database adaptable for distribution.

Immutable.js logo Immutable.js

Immutable persistent data collections for Javascript which increase efficiency and simplicity. - immutable-js/immutable-js
  • Datahike Landing page
    Landing page //
    2023-08-22
  • Immutable.js Landing page
    Landing page //
    2023-10-15

Datahike features and specs

  • 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.
  • Datalog queries
    Datahike supports Datalog queries, a powerful and expressive query language that is similar to Prolog, allowing for complex querying of data relationships.
  • 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.
  • 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.
  • Transactional support
    Datahike offers ACID-compliant transactions, ensuring data integrity and consistent state even in the face of concurrent operations.
  • 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.
  • Off-the-shelf scalability
    The architecture of Datahike is conducive to scaling horizontally, providing flexibility to handle growing amounts of data and user load.

Possible disadvantages of Datahike

  • Relatively new ecosystem
    Being a lesser-known and newer alternative compared to databases like Datomic, Datahike may have a smaller community and fewer resources like documentation and third-party integrations.
  • Performance limitations
    While Datahike is designed to be lightweight and flexible, it may not match the performance of more mature databases, especially in very high-load or high-volume scenarios.
  • Limited features
    Datahike may lack some advanced features present in other databases, such as sophisticated indexing or native support for certain types of analytics, which could be necessary for specific applications.
  • Java Virtual Machine (JVM) requirement
    As it runs on the JVM, Datahike requires a Java runtime environment, which might not be ideal or convenient for projects seeking to minimize dependencies or employ lightweight deployment strategies.

Immutable.js features and specs

No features have been listed yet.

Datahike videos

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Immutable.js videos

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Immutable.js Tutorial - How to Create Immutable Data Structures with Immutable.js

More videos:

  • Review - Immutability is Changing: From Immutable.js to Immer - ForwardJS 2019

Category Popularity

0-100% (relative to Datahike and Immutable.js)

Datahike

Immutable.js

Databases
100 100%
Databases
0% 0
Productivity
0 0%
Productivity
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

User comments

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Social recommendations and mentions

Immutable.js might be a bit more popular than Datahike. We know about 4 links to it since March 2021 and only 4 links to Datahike. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Datahike mentions (4)

  • 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 / over 1 year 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: almost 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 / about 3 years ago
  • Show HN: Matrix-CRDT – 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

Immutable.js mentions (4)

  • Functional immutable game state
    The Immutable.js README has a much more complete description of immutability and why you might want to use the library. Also worth mentioning that Immer is an alternative which is a bit easier to get started with. - Source: dev.to / over 2 years ago
  • How do I handle objects with shared references in React?
    You could create explicitly immutable references and state by using a tool like Immer.js or Immutable.js and do something like your example using their API. Source: almost 3 years ago
  • Introduction to Functional Programming in JavaScript
    There are also libraries such as Immer and Immutable that were created to make our lives easier while dealing with immutability in JavaScript. - Source: dev.to / over 3 years ago
  • How to handle "mutable state" in a pure functional way
    Use persistent immutable data structures (as implemented in, for instance, mori or Immutable.js) to represent the state. As much as possible, push calculations into referentially transparent functions (i.e., input depends purely on output) which take persistent data. Write the interactions with the real world in imperative style. Source: over 3 years ago

What are some alternatives?

When comparing Datahike and Immutable.js, you can also consider the following products

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server

HeyForm - Paperless data collection with better data insights

Oracle TimesTen - TimesTen is an in-memory, relational database management system with persistence and...

DataTip - The fastest way to store & access your critical datapoints.

PlanetScale - The last database you'll ever need. Go from idea to IPO.

Proof.ink - Proven immutable data stored on the Steem blockchain

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