Reactive-kafka VS BIDMach

Compare Reactive-kafka vs BIDMach and see what are their differences.

Reactive-kafka

Alpakka Kafka connector - Alpakka is a Reactive Enterprise Integration library for Java and Scala, based on Reactive Streams and Akka. (by akka)

BIDMach

CPU and GPU-accelerated Machine Learning Library (by BIDData)
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Reactive-kafka BIDMach
- -
1,418 913
0.1% 0.0%
8.2 0.0
1 day ago over 1 year ago
Scala Scala
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Reactive-kafka

Posts with mentions or reviews of Reactive-kafka. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Reactive-kafka yet.
Tracking mentions began in Dec 2020.

BIDMach

Posts with mentions or reviews of BIDMach. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning BIDMach yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Reactive-kafka and BIDMach you can also consider the following projects:

Apache Kafka - Mirror of Apache Kafka

metorikku - A simplified, lightweight ETL Framework based on Apache Spark

Scio - A Scala API for Apache Beam and Google Cloud Dataflow.

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

Apache Flink - Apache Flink

Vegas - The missing MatPlotLib for Scala + Spark

Scrunch - Mirror of Apache Crunch (Incubating)

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

Summingbird - Streaming MapReduce with Scalding and Storm

spark-deployer - Deploy Spark cluster in an easy way.

Scoobi - A Scala productivity framework for Hadoop.