Apache Ranger

Apache Ranger

The Apache Software Foundation
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About

Impala provides low latency and high concurrency for BI/analytic queries on the Hadoop ecosystem, including Iceberg, open data formats, and most cloud storage options. Impala also scales linearly, even in multitenant environments. Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Ranger module, you can ensure that the right users and applications are authorized for the right data. Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment, with no redundant infrastructure or data conversion/duplication. For Apache Hive users, Impala utilizes the same metadata and ODBC driver. Like Hive, Impala supports SQL, so you don't have to worry about reinventing the implementation wheel. With Impala, more users, whether using SQL queries or BI applications, can interact with more data through a single repository and metadata stored from source through analysis.

About

Apache Ranger™ is a framework to enable, monitor and manage comprehensive data security across the Hadoop platform. The vision with Ranger is to provide comprehensive security across the Apache Hadoop ecosystem. With the advent of Apache YARN, the Hadoop platform can now support a true data lake architecture. Enterprises can potentially run multiple workloads, in a multi tenant environment. Data security within Hadoop needs to evolve to support multiple use cases for data access, while also providing a framework for central administration of security policies and monitoring of user access. Centralized security administration to manage all security related tasks in a central UI or using REST APIs. Fine grained authorization to do a specific action and/or operation with Hadoop component/tool and managed through a central administration tool. Standardize authorization method across all Hadoop components. Enhanced support for different authorization methods - Role based access control etc.

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

Anyone seeking a native analytic database tool for open data and table formats

Audience

Anyone looking for an open source framework to provide comprehensive security across Apache Hadoop ecosystem

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

Free
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
United States
impala.apache.org

Company Information

The Apache Software Foundation
Founded: 1999
United States
ranger.apache.org

Alternatives

Apache Sentry

Apache Sentry

Apache Software Foundation

Alternatives

Apache Sentry

Apache Sentry

Apache Software Foundation
Apache Iceberg

Apache Iceberg

Apache Software Foundation
Impala

Impala

Command Line Software
Apache Trafodion

Apache Trafodion

Apache Software Foundation
Hadoop

Hadoop

Apache Software Foundation

Categories

Categories

Integrations

Apache Hive
Hadoop
Apache HBase
Apache Hadoop YARN
Apache Iceberg
Apache Kafka
Apache Knox
Apache Solr
Apache Storm
Cloudera Data Warehouse
Data Sentinel
Inferyx
OpenMetadata
PHEMI Health DataLab
SQL
Salesforce Data Cloud

Integrations

Apache Hive
Hadoop
Apache HBase
Apache Hadoop YARN
Apache Iceberg
Apache Kafka
Apache Knox
Apache Solr
Apache Storm
Cloudera Data Warehouse
Data Sentinel
Inferyx
OpenMetadata
PHEMI Health DataLab
SQL
Salesforce Data Cloud
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