Software Alternatives & Reviews

KEEL VS Datahike

Compare KEEL VS Datahike and see what are their differences

KEEL logo KEEL

KEEL contains classical knowledge extraction algorithms, preprocessing techniques, Computational Intelligence based learning algorithms, evolutionary rule learning algorithms, genetic fuzzy systems, evolutionary neural networks, etc.

Datahike logo Datahike

A durable datalog database adaptable for distribution.
  • KEEL Landing page
    Landing page //
    2021-09-20
  • Datahike Landing page
    Landing page //
    2023-08-22

KEEL videos

Creating a "High Performance Twin Fin Keel" Design Vlog by Noel Salas

More videos:

  • Review - 2019 Twin and keel fin guide / Rob Machado Seaside Quad fins
  • Review - FCS II Rob Machado "FW Glazer" Tri-Keel

Datahike videos

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

+ Add video

Category Popularity

0-100% (relative to KEEL and Datahike)
Data Science And Machine Learning
Databases
0 0%
100% 100
Data Science Tools
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Datahike seems to be more popular. 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.

KEEL mentions (0)

We have not tracked any mentions of KEEL yet. Tracking of KEEL recommendations started around Mar 2021.

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 / 6 months 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: 10 months 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 2 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 2 years ago

What are some alternatives?

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

Apache Mahout - Distributed Linear Algebra

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

KNIME - KNIME, the open platform for your data.

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

WEKA - WEKA is a set of powerful data mining tools that run on Java.

Matisse - Matisse is a post-relational SQL database.