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Description

Utilize Apache HBase™ when you require immediate and random read/write capabilities for your extensive data sets. This initiative aims to manage exceptionally large tables that can contain billions of rows across millions of columns on clusters built from standard hardware. It features automatic failover capabilities between RegionServers to ensure reliability. Additionally, it provides an intuitive Java API for client interaction, along with a Thrift gateway and a RESTful Web service that accommodates various data encoding formats, including XML, Protobuf, and binary. Furthermore, it supports the export of metrics through the Hadoop metrics system, enabling data to be sent to files or Ganglia, as well as via JMX for enhanced monitoring and management. With these features, HBase stands out as a robust solution for handling big data challenges effectively.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon EMR Yes 
Apache Knox Yes 
Apache Phoenix Yes 
Apache Ranger Yes 
Apache Spark Yes 
Apache Zeppelin Yes 
Data Sentinel Yes 
DigDash Yes 
Hackolade Yes 
Hue Yes 
Lyftrondata Yes 
MLlib Yes 
Mage Dynamic Data Masking Yes 
Mage Static Data Masking Yes 
RazorSQL Yes 
Salesforce Data 360 Yes 
Stackable Yes 
WEBDEV Yes 
WINDEV Yes 
Yandex Data Proc Yes 

Integrations

Amazon EMR Yes 
Apache Knox Yes 
Apache Phoenix Yes 
Apache Ranger Yes 
Apache Spark Yes 
Apache Zeppelin Yes 
Data Sentinel Yes 
DigDash Yes 
Hackolade Yes 
Hue Yes 
Lyftrondata Yes 
MLlib Yes 
Mage Dynamic Data Masking Yes 
Mage Static Data Masking Yes 
RazorSQL Yes 
Salesforce Data 360 Yes 
Stackable Yes 
WEBDEV Yes 
WINDEV Yes 
Yandex Data Proc Yes 

Pricing Details

Free, Open Source Software
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 No 

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 No 

Types of Training

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

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

hbase.apache.org

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

hive.apache.org

Product Features

NoSQL Database

Auto-sharding Yes 
Automatic Database Replication No 
Data Model Flexibility Yes 
Deployment Flexibility Yes 
Dynamic Schemas Yes 
Integrated Caching Yes 
Multi-Model No 
Performance Management No 
Security Management No 

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 

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