MLlib vs. PI.EXCHANGE Comparison


MLlib Apache Software Foundation	PI.EXCHANGE	+	+
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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 Easily connect your data to the engine, either through uploading a file or connecting to a database. Then, start analyzing your data through visualizations, or prepare your data for machine learning modeling with the data wrangling actions with repeatable recipes. Get the most out of your data by building machine learning models, using regression, classification or clustering algorithms - all without any code. Uncover insights into your data, using the feature importance, prediction explanation, and what-if tools. Make predictions and integrate them seamlessly into your existing systems through our connectors, ready to go so you can start taking action.
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 Companies in need of a solution to build AI models and get predictions
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 $39 per month Free Version Not Supported Free Trial 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 PI.EXCHANGE Founded: 2017 Australia www.pi.exchange/the-ai-and-analytics-engine
Alternatives Apache Spark Apache Software Foundation	Alternatives Dataiku
Apache PredictionIO Apache	Alteryx
Apache Mahout Apache Software Foundation	Oracle Analytics Cloud Oracle
Amazon EMR Amazon	MyDataModels TADA MyDataModels
PySpark View All	Google Cloud BigQuery Google View All
Categories Machine Learning Supported	Categories AI Data Analytics Supported Data Preparation Supported Machine Learning Supported

Integrations Amazon EC2 Supported Apache Cassandra Supported Apache HBase Supported Apache Hive Supported Apache Mesos Supported Apache Parquet Not Supported InterSystems IRIS Not Supported JSON Not Supported Java Supported Kubernetes Supported MapReduce Supported Microsoft Excel Not Supported Microsoft Power BI Not Supported Oracle Database Not Supported PostgreSQL Not Supported Python Supported R Supported SQL Server Not Supported Scala Supported Snowflake Not Supported Show More Integrations View All 13 Integrations	Integrations Amazon EC2 Not Supported Apache Cassandra Not Supported Apache HBase Not Supported Apache Hive Not Supported Apache Mesos Not Supported Apache Parquet Supported InterSystems IRIS Supported JSON Supported Java Not Supported Kubernetes Not Supported MapReduce Not Supported Microsoft Excel Supported Microsoft Power BI Supported Oracle Database Supported PostgreSQL Supported Python Not Supported R Not Supported SQL Server Supported Scala Not Supported Snowflake Supported Show More Integrations View All 12 Integrations
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