MLlib

MLlib

Apache Software Foundation
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About

Managed Service for Apache Airflow is a fully managed workflow orchestration platform from Google Cloud built on the open-source Apache Airflow project. It allows users to author, schedule, and monitor data pipelines using Python-based workflows known as DAGs. The platform eliminates the need to manage infrastructure, enabling teams to focus on building and running pipelines. It integrates seamlessly with Google Cloud services such as BigQuery, Dataflow, and Managed Service for Apache Spark. It also supports hybrid and multi-cloud environments, allowing workflows to span across different systems. Users benefit from built-in monitoring, logging, and troubleshooting tools for reliability. The service is designed to simplify complex data workflows, including ETL, MLOps, and automation tasks. Overall, it provides a scalable and flexible solution for orchestrating modern data pipelines.

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data engineers, DevOps teams, and enterprises seeking a scalable, fully managed solution to orchestrate complex data pipelines across hybrid and multi-cloud environments

Audience

Data scientists and engineers wanting a machine learning solution for efficient data processing and analysis within the Apache Spark framework

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0.074 per vCPU hour
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
cloud.google.com/products/managed-service-for-apache-airflow

Company Information

Apache Software Foundation
Founded: 1995
United States
spark.apache.org/mllib/

Alternatives

Amazon MWAA

Amazon MWAA

Amazon

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
Apache Airflow

Apache Airflow

The Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon

Categories

Categories

Integrations

Python
Apache Airflow
Apache Cassandra
Apache Hive
Apache Spark
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Cloud Pub/Sub
Google Cloud Storage
Hadoop
IBM watsonx.data integration
Java
Kubernetes
MapReduce
Pantomath
R
Scala

Integrations

Python
Apache Airflow
Apache Cassandra
Apache Hive
Apache Spark
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Cloud Pub/Sub
Google Cloud Storage
Hadoop
IBM watsonx.data integration
Java
Kubernetes
MapReduce
Pantomath
R
Scala
Claim Google Cloud Managed Service for Apache Airflow and update features and information
Claim Google Cloud Managed Service for Apache Airflow and update features and information
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Claim MLlib and update features and information