MLlib vs. Spark Streaming Comparison


MLlib Apache Software Foundation	Spark Streaming 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 Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part. By running on Spark, Spark Streaming lets you reuse the same code for batch processing, join streams against historical data, or run ad-hoc queries on stream state. Build powerful interactive applications, not just analytics. Spark Streaming is developed as part of Apache Spark. It thus gets tested and updated with each Spark release. You can run Spark Streaming on Spark's standalone cluster mode or other supported cluster resource managers. It also includes a local run mode for development. In production, Spark Streaming uses ZooKeeper and HDFS for high availability.
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 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 Data scientists and engineers wanting a machine learning solution for efficient data processing and analysis within the Apache Spark framework	Audience Real-Time Data Streaming solution for businesses
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 Not 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 Apache Software Foundation Founded: 1999 United States spark.apache.org/streaming/
Alternatives Apache Spark Apache Software Foundation	Alternatives ksqlDB Confluent
Apache PredictionIO Apache	Samza Apache Software Foundation
Apache Mahout Apache Software Foundation	Apache Spark Apache Software Foundation
Amazon EMR Amazon	PySpark
PySpark View All	MLlib Apache Software Foundation View All
Categories Machine Learning Supported	Categories Event Stream Processing Supported Real-Time Data Streaming Supported

Integrations Apache Spark Supported Amazon EC2 Supported Apache Cassandra Supported Apache HBase Supported Apache Hive Supported Apache Mesos Supported Hadoop Supported Java Supported Kubernetes Supported MapReduce Supported PubSub+ Platform Not Supported Python Supported R Supported Scala Supported Show More Integrations View All 13 Integrations	Integrations Apache Spark Supported Amazon EC2 Not Supported Apache Cassandra Not Supported Apache HBase Not Supported Apache Hive Not Supported Apache Mesos Not Supported Hadoop Not Supported Java Not Supported Kubernetes Not Supported MapReduce Not Supported PubSub+ Platform Supported Python Not Supported R Not Supported Scala Not Supported Show More Integrations View All 3 Integrations
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