Software Alternatives, Accelerators & Startups
Register | Login

Datahike VS Bitloops

Compare Datahike VS Bitloops and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Datahike logo Datahike

A durable datalog database adaptable for distribution.

Bitloops logo Bitloops

Frontend Co-Pilot: Design-to-Professional-Code in Minutes
  • Datahike Landing page
    Landing page //
    2023-08-22
  • Bitloops Landing page
    Landing page //
    2023-06-13

Bitloops redefines the coding landscape with its state-of-the-art AI technology. It's a groundbreaking developer tool that effortlessly converts design visuals into clean, responsive, and adaptive code in a fraction of the usual time.

Tailored for the modern web development ecosystem, Bitloops is designed to boost productivity and efficiency for developers and companies alike. Its unique AI algorithms interpret designs with precision, offering a seamless transition from design to deployment, and ensuring that projects are not only completed faster but with a level of code quality that mirrors the expertise of a senior engineer.

Ideal for startups, SMEs, and digital agencies, Bitloops is pioneering the future of web development, where the gap between creative design and technical implementation is bridged with unparalleled efficiency and accuracy.

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.

Bitloops features and specs

No features have been listed yet.

Datahike videos

No Datahike videos yet. You could help us improve this page by suggesting one.

Add video

Bitloops videos

+ Add

SGTALKS | EP#50: Vasilis Danias, Co-Founder & CEO of Bitloops

Category Popularity

0-100% (relative to Datahike and Bitloops)

Datahike

Bitloops

Databases
100 100%
Databases
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Realtime Backend / API
0 0%
Realtime Backend / API
100% 100

User comments

Share your experience with using Datahike and Bitloops. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Datahike should be more popular than Bitloops. It has been mentiond 4 times since March 2021. 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

Bitloops mentions (2)

  • [AskJS] Probably the most over-engineered Todo app you have ever seen?
    If you can pay anything at https://bitloops.com then I will give you $1000 right now. If anyone is pointing out our business it is you so thanks. Sorry we don’t happen to be an NGO. Source: about 2 years ago
  • From padawan to Jedi - boost your dev skills with the Ultimate Todo App
    Well, after months of learning and working on the Bitloops Platform (join waiting list - release in a few months), we created the Ultimate ToDo app that follows all of these great design patterns and principles. - Source: dev.to / about 2 years ago

What are some alternatives?

When comparing Datahike and Bitloops, you can also consider the following products

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

OutSystems Platform - OutSystems low-code development platform has everything you need to build, deploy, manage and change enterprise mobile and web apps faster than ever.

Datomic - The fully transactional, cloud-ready, distributed database

Supabase - An open source Firebase alternative

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

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

Loading...