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KEEL VS Apache Pig

Compare KEEL VS Apache Pig and see what are their differences

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  2. » Videos
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  4. » Alternatives

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.

Apache Pig logo Apache Pig

Pig is a high-level platform for creating MapReduce programs used with Hadoop.
  • KEEL Landing page
    Landing page //
    2021-09-20
  • Apache Pig Landing page
    Landing page //
    2021-12-31

KEEL videos

+ Add

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

Apache Pig videos

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Pig Tutorial | Apache Pig Script | Hadoop Pig Tutorial | Edureka

More videos:

  • Review - Simple Data Analysis with Apache Pig

Category Popularity

0-100% (relative to KEEL and Apache Pig)

KEEL

Apache Pig

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

Share your experience with using KEEL and Apache Pig. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apache Pig seems to be more popular. It has been mentiond 2 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.

Apache Pig mentions (2)

  • In One Minute : Hadoop
    Pig, a platform/programming language for authoring parallelizable jobs. - Source: dev.to / over 1 year ago
  • Spark is lit once again
    In the early days of the Big Data era when K8s hasn't even been born yet, the common open source go-to solution was the Hadoop stack. We have written several old-fashioned Map-Reduce jobs, scripts using Pig until we came across Spark. Since then Spark has became one of the most popular data processing engines. It is very easy to start using Lighter on YARN deployments. Just run a docker with proper configuration... - Source: dev.to / over 2 years ago

What are some alternatives?

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

Apache Mahout - Distributed Linear Algebra

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

KNIME - KNIME, the open platform for your data.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)

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