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Description

Apache Hive is a data warehouse solution that enables the efficient reading, writing, and management of substantial datasets stored across distributed systems using SQL. It allows users to apply structure to pre-existing data in storage. To facilitate user access, it comes equipped with a command line interface and a JDBC driver. As an open-source initiative, Apache Hive is maintained by dedicated volunteers at the Apache Software Foundation. Initially part of the Apache® Hadoop® ecosystem, it has since evolved into an independent top-level project. We invite you to explore the project further and share your knowledge to enhance its development. Users typically implement traditional SQL queries through the MapReduce Java API, which can complicate the execution of SQL applications on distributed data. However, Hive simplifies this process by offering a SQL abstraction that allows for the integration of SQL-like queries, known as HiveQL, into the underlying Java framework, eliminating the need to delve into the complexities of the low-level Java API. This makes working with large datasets more accessible and efficient for developers.

Description

Apache Sentry™ serves as a robust system for implementing detailed role-based authorization for both data and metadata within a Hadoop cluster environment. Achieving Top-Level Apache project status after graduating from the Incubator in March 2016, Apache Sentry is recognized for its effectiveness in managing granular authorization. It empowers users and applications to have precise control over access privileges to data stored in Hadoop, ensuring that only authenticated entities can interact with sensitive information. Compatibility extends to a range of frameworks, including Apache Hive, Hive Metastore/HCatalog, Apache Solr, Impala, and HDFS, though its primary focus is on Hive table data. Designed as a flexible and pluggable authorization engine, Sentry allows for the creation of tailored authorization rules that assess and validate access requests for various Hadoop resources. Its modular architecture increases its adaptability, making it capable of supporting a diverse array of data models within the Hadoop ecosystem. This flexibility positions Sentry as a vital tool for organizations aiming to manage their data security effectively.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Hue Yes 
3forge Yes 
Airtool Yes 
Algonomy Yes 
Apache Avro Yes 
Apache Ranger Yes 
CelerData Cloud Yes 
Coginiti Yes 
Hackolade Yes 
IBM App Connect Yes 
IBM Cloud Mass Data Migration Yes 
Inferyx Yes 
Mage Static Data Masking Yes 
Okera Yes 
PHEMI Health DataLab Yes 
Precisely Connect Yes 
Privacera Yes 
SAS Studio Yes 
SQL Yes 
eQube®-DaaS Yes 

Integrations

Hue Yes 
3forge No 
Airtool No 
Algonomy No 
Apache Avro No 
Apache Ranger No 
CelerData Cloud No 
Coginiti No 
Hackolade No 
IBM App Connect No 
IBM Cloud Mass Data Migration No 
Inferyx No 
Mage Static Data Masking No 
Okera No 
PHEMI Health DataLab No 
Precisely Connect No 
Privacera No 
SAS Studio No 
SQL No 
eQube®-DaaS No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

hive.apache.org

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

sentry.apache.org

Product Features

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

Product Features

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