Horovod vs. MLlib Comparison


Horovod	MLlib Apache Software Foundation	+	+
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About Horovod was originally developed by Uber to make distributed deep learning fast and easy to use, bringing model training time down from days and weeks to hours and minutes. With Horovod, an existing training script can be scaled up to run on hundreds of GPUs in just a few lines of Python code. Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data processing and model training into a single pipeline. Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve.	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.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	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
Audience Developers in need of a powerful Development Framework solution	Audience Data scientists and engineers wanting a machine learning solution for efficient data processing and analysis within the Apache Spark framework
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version 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 Not Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Not Supported In Person Supported
Company Information Horovod horovod.ai/	Company Information Apache Software Foundation Founded: 1995 United States spark.apache.org/mllib/
Alternatives AWS Deep Learning AMIs Amazon	Alternatives Apache Spark Apache Software Foundation
AWS Neuron Amazon Web Services	Apache PredictionIO Apache
Fabric for Deep Learning (FfDL) IBM	Apache Mahout Apache Software Foundation
DeepSpeed Microsoft	Amazon EMR Amazon
Google Cloud Deep Learning VM Image Google View All	PySpark View All
Categories AI/ML Model Training Supported Deep Learning Supported Development Frameworks Supported	Categories Machine Learning Supported

Integrations Python Supported Amazon Web Services (AWS) Supported Apache Cassandra Not Supported Apache HBase Not Supported Apache Mesos Not Supported Apache Spark Not Supported Azure Databricks Supported Flyte Supported Hadoop Not Supported Java Not Supported Keras Supported Kubernetes Not Supported MXNet Supported MapReduce Not Supported Microsoft Azure Supported PyTorch Supported R Not Supported Scala Not Supported TensorFlow Supported Show More Integrations View All 10 Integrations	Integrations Python Supported Amazon Web Services (AWS) Not Supported Apache Cassandra Supported Apache HBase Supported Apache Mesos Supported Apache Spark Supported Azure Databricks Not Supported Flyte Not Supported Hadoop Supported Java Supported Keras Not Supported Kubernetes Supported MXNet Not Supported MapReduce Supported Microsoft Azure Not Supported PyTorch Not Supported R Supported Scala Supported TensorFlow Not Supported Show More Integrations View All 13 Integrations
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