Hopsworks vs. MLlib Comparison


Hopsworks Logical Clocks	MLlib Apache Software Foundation	+	+
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About Hopsworks is an open-source Enterprise platform for the development and operation of Machine Learning (ML) pipelines at scale, based around the industry’s first Feature Store for ML. You can easily progress from data exploration and model development in Python using Jupyter notebooks and conda to running production quality end-to-end ML pipelines, without having to learn how to manage a Kubernetes cluster. Hopsworks can ingest data from the datasources you use. Whether they are in the cloud, on‑premise, IoT networks, or from your Industry 4.0-solution. Deploy on‑premises on your own hardware or at your preferred cloud provider. Hopsworks will provide the same user experience in the cloud or in the most secure of air‑gapped deployments. Learn how to set up customized alerts in Hopsworks for different events that are triggered as part of the ingestion pipeline.	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 Data science teams seeking a solution to transform data into features	Audience Data scientists and engineers wanting a machine learning solution for efficient data processing and analysis within the Apache Spark framework
Support Phone Support 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 $1 per month Free Version Supported Free Trial 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 Supported In Person Supported	Training Documentation Supported Webinars Supported Live Online Not Supported In Person Supported
Company Information Logical Clocks Founded: 2016 Sweden www.logicalclocks.com/hopsworks	Company Information Apache Software Foundation Founded: 1995 United States spark.apache.org/mllib/
Alternatives DATAGYM eForce21	Alternatives Apache Spark Apache Software Foundation
Tecton	Apache PredictionIO Apache
Teradata VantageCloud Teradata	Apache Mahout Apache Software Foundation
Saturn Cloud	Amazon EMR Amazon
Deepnote View All	PySpark View All
Categories Artificial Intelligence Supported Big Data Supported Data Analysis Supported Data Management Supported Machine Learning Supported	Categories Machine Learning Supported
Machine Learning Features Deep Learning Supported ML Algorithm Library Supported Model Training Supported Natural Language Processing (NLP) Supported Predictive Modeling Supported Statistical / Mathematical Tools Supported Templates Supported Visualization Supported Show More Features Artificial Intelligence Features Chatbot Not Supported For eCommerce Supported For Healthcare Supported For Sales Not Supported Image Recognition Not Supported Machine Learning Not Supported Multi-Language Not Supported Natural Language Processing Not Supported Predictive Analytics Supported Process/Workflow Automation Supported Rules-Based Automation Not Supported Virtual Personal Assistant (VPA) Not Supported Big Data Features Collaboration Supported Data Blends Not Supported Data Cleansing Supported Data Mining Supported Data Visualization Supported Data Warehousing Supported High Volume Processing Supported No-Code Sandbox Not Supported Predictive Analytics Not Supported Templates Supported Data Analysis Features Data Discovery Supported Data Visualization Supported High Volume Processing Supported Predictive Analytics Not Supported Regression Analysis Supported Sentiment Analysis Not Supported Statistical Modeling Not Supported Text Analytics Not Supported Data Management Features Customer Data Supported Data Analysis Supported Data Capture Not Supported Data Integration Supported Data Migration Supported Data Quality Control Supported Data Security Supported Information Governance Not Supported Master Data Management Supported Match & Merge Not Supported
Integrations Amazon EC2 Supported Amazon Web Services (AWS) Supported Apache Cassandra Not Supported Apache HBase Not Supported Apache Hive Not Supported Apache Mesos Not Supported Apache Spark Not Supported Hadoop Not Supported IBM watsonx.data Supported Java Not Supported Kubernetes Not Supported MapReduce Not Supported Onehouse Supported Python Not Supported R Not Supported Scala Not Supported Show More Integrations View All 4 Integrations	Integrations Amazon EC2 Supported Amazon Web Services (AWS) Not Supported Apache Cassandra Supported Apache HBase Supported Apache Hive Supported Apache Mesos Supported Apache Spark Supported Hadoop Supported IBM watsonx.data Not Supported Java Supported Kubernetes Supported MapReduce Supported Onehouse Not Supported Python Supported R Supported Scala Supported Show More Integrations View All 13 Integrations
Claim Hopsworks and update features and information Claim Hopsworks and update features and information	Claim MLlib and update features and information Claim MLlib and update features and information