MLlib vs. MXNet Comparison


MLlib Apache Software Foundation	MXNet The Apache Software Foundation	+	+
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About Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. It is designed to operate across diverse environments, running on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or in the cloud, and accessing various data sources such as HDFS, HBase, and local files. This flexibility makes MLlib a robust solution for scalable and efficient machine learning tasks within the Apache Spark ecosystem.	About A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed. Scalable distributed training and performance optimization in research and production is enabled by the dual parameter server and Horovod support. Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl. A thriving ecosystem of tools and libraries extends MXNet and enables use-cases in computer vision, NLP, time series and more. Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision-making process have stabilized in a manner consistent with other successful ASF projects. Join the MXNet scientific community to contribute, learn, and get answers to your questions.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Data scientists and engineers wanting a machine learning solution for efficient data processing and analysis within the Apache Spark framework	Audience Developers and researchers requiring an open-source deep learning framework for research prototyping and production
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Supported Live Online Not Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Apache Software Foundation Founded: 1995 United States spark.apache.org/mllib/	Company Information The Apache Software Foundation Founded: 1999 United States mxnet.apache.org
Alternatives Apache Spark Apache Software Foundation	Alternatives Deeplearning4j
Apache PredictionIO Apache	AWS Deep Learning AMIs Amazon
Apache Mahout Apache Software Foundation	Horovod
Amazon EMR Amazon	Apache NuttX Apache
PySpark View All	Caffe BAIR View All
Categories Machine Learning Supported	Categories AI Development Supported AI/ML Model Training Supported Deep Learning Supported Neural Network Supported

Integrations Amazon EC2 Supported Amazon EC2 Inf1 Instances Not Supported Amazon Elastic Inference Not Supported Amazon SageMaker Debugger Not Supported Amazon SageMaker Model Building Not Supported Apache Cassandra Supported Apache HBase Supported Apache Hive Supported Apache Mesos Supported Cameralyze Not Supported Flower Not Supported Google Cloud Deep Learning VM Image Not Supported Gradient Not Supported Guild AI Not Supported Hadoop Supported Java Supported Kubernetes Supported NVIDIA Triton Inference Server Not Supported R Supported Scala Supported Show More Integrations View All 13 Integrations	Integrations Amazon EC2 Not Supported Amazon EC2 Inf1 Instances Supported Amazon Elastic Inference Supported Amazon SageMaker Debugger Supported Amazon SageMaker Model Building Supported Apache Cassandra Not Supported Apache HBase Not Supported Apache Hive Not Supported Apache Mesos Not Supported Cameralyze Supported Flower Supported Google Cloud Deep Learning VM Image Supported Gradient Supported Guild AI Supported Hadoop Not Supported Java Not Supported Kubernetes Not Supported NVIDIA Triton Inference Server Supported R Not Supported Scala Not Supported Show More Integrations View All 18 Integrations
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