Daft vs. MLlib Comparison


Daft	MLlib Apache Software Foundation	+	+
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About Daft is a framework for ETL, analytics and ML/AI at scale. Its familiar Python dataframe API is built to outperform Spark in performance and ease of use. Daft plugs directly into your ML/AI stack through efficient zero-copy integrations with essential Python libraries such as Pytorch and Ray. It also allows requesting GPUs as a resource for running models. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run out-of-core on a distributed cluster. Daft can handle User-Defined Functions (UDFs) in columns, allowing you to apply complex expressions and operations to Python objects with the full flexibility required for ML/AI. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run out-of-core on a distributed cluster.	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 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 Developers and enterprises in search of a solution to manage their multimodal data	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 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 Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Not Supported In Person Supported
Company Information Daft United States www.getdaft.io	Company Information Apache Software Foundation Founded: 1995 United States spark.apache.org/mllib/
Alternatives JetBrains DataSpell JetBrains	Alternatives Apache Spark Apache Software Foundation
Azure Data Science Virtual Machines Microsoft	Apache PredictionIO Apache
PySpark	Apache Mahout Apache Software Foundation
Cegal Prizm Cegal	Amazon EMR Amazon
Dask View All	PySpark View All
Categories Data Science Supported DataOps Supported	Categories Machine Learning Supported

Integrations Apache Spark Supported Python Supported Amazon Web Services (AWS) Supported Apache Arrow Supported Apache Cassandra Not Supported Apache HBase Not Supported Apache Hive Not Supported Apache Iceberg Supported Apache Mesos Not Supported Delta Lake Supported Google Cloud Platform Supported Hadoop Not Supported JSON Supported MapReduce Not Supported Microsoft Azure Supported R Not Supported Rust Supported Scala Not Supported Unity Catalog Supported pandas Supported Show More Integrations View All 14 Integrations	Integrations Apache Spark Supported Python Supported Amazon Web Services (AWS) Not Supported Apache Arrow Not Supported Apache Cassandra Supported Apache HBase Supported Apache Hive Supported Apache Iceberg Not Supported Apache Mesos Supported Delta Lake Not Supported Google Cloud Platform Not Supported Hadoop Supported JSON Not Supported MapReduce Supported Microsoft Azure Not Supported R Supported Rust Not Supported Scala Supported Unity Catalog Not Supported pandas Not Supported Show More Integrations View All 13 Integrations
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