Apache Sentry

Apache Sentry

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation
+
+

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About

Apache Sentry™ is a system for enforcing fine grained role based authorization to data and metadata stored on a Hadoop cluster. Apache Sentry has successfully graduated from the Incubator in March of 2016 and is now a Top-Level Apache project. Apache Sentry is a granular, role-based authorization module for Hadoop. Sentry provides the ability to control and enforce precise levels of privileges on data for authenticated users and applications on a Hadoop cluster. Sentry currently works out of the box with Apache Hive, Hive Metastore/HCatalog, Apache Solr, Impala and HDFS (limited to Hive table data). Sentry is designed to be a pluggable authorization engine for Hadoop components. It allows you to define authorization rules to validate a user or application’s access requests for Hadoop resources. Sentry is highly modular and can support authorization for a wide variety of data models in Hadoop.

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

Enterprises looking for a solution to enforce fine grained role based authorization to data and metadata

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

No information available.
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

Apache Software Foundation
Founded: 1999
United States
sentry.apache.org

Company Information

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

Alternatives

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
Apache Ranger

Apache Ranger

The Apache Software Foundation
Apache Hive

Apache Hive

Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation
E-MapReduce

E-MapReduce

Alibaba
Amazon EMR

Amazon EMR

Amazon
Apache Knox

Apache Knox

Apache Software Foundation

Categories

Categories

Integrations

Apache Hive
Hadoop
AccessOwl
Adaptive
Apache Cassandra
Apache HBase
Apache Mesos
Apache Solr
Apache Spark
Cocodly
Codecov
Compyl
Kubernetes
Nextbase
PathPilot
R
Resmo
Scala
TaskCall
Zenduty

Integrations

Apache Hive
Hadoop
AccessOwl
Adaptive
Apache Cassandra
Apache HBase
Apache Mesos
Apache Solr
Apache Spark
Cocodly
Codecov
Compyl
Kubernetes
Nextbase
PathPilot
R
Resmo
Scala
TaskCall
Zenduty
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Claim Apache Sentry and update features and information
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