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What is Apache Hive?

Apache Hive serves as a data warehousing framework that empowers users to access, manipulate, and oversee large datasets spread across distributed systems using a SQL-like language. It facilitates the structuring of pre-existing data stored in various formats. Users have the option to interact with Hive through a command line interface or a JDBC driver. As a project under the auspices of the Apache Software Foundation, Apache Hive is continually supported by a group of dedicated volunteers. Originally integrated into the Apache® Hadoop® ecosystem, it has matured into a fully-fledged top-level project with its own identity. We encourage individuals to delve deeper into the project and contribute their expertise. To perform SQL operations on distributed datasets, conventional SQL queries must be run through the MapReduce Java API. However, Hive streamlines this task by providing a SQL abstraction, allowing users to execute queries in the form of HiveQL, thus eliminating the need for low-level Java API implementations. This results in a much more user-friendly and efficient experience for those accustomed to SQL, leading to greater productivity when dealing with vast amounts of data. Moreover, the adaptability of Hive makes it a valuable tool for a diverse range of data processing tasks.

What is Apache Derby?

Apache Derby is a project under the Apache DB umbrella that functions as an open-source relational database, crafted entirely in Java and made available under the Apache License, Version 2.0. Its core engine, which includes an integrated JDBC driver, is remarkably lightweight at around 3.5 megabytes, emphasizing efficiency and ease of use. Derby features an embedded JDBC driver, enabling seamless integration into any Java-based application. Beyond its embedded functionality, it also supports a client/server setup via the Derby Network Client JDBC driver and Derby Network Server, thereby offering diverse options for database management. This versatility and lightweight nature make Derby an attractive option for developers in search of a flexible database solution that can easily adapt to various project needs. Furthermore, its open-source nature allows for community contributions and enhancements, further solidifying its position in the database management landscape.

Media

Media

Integrations Supported

Airtool
DataClarity Unlimited Analytics
DataGrip
DbVisualizer
RazorSQL
Acceldata
Apache Doris
Apache Phoenix
Astro by Astronomer
Cloudera Data Platform
Foundational
Hackolade
IBM App Connect
IBM Cloud Mass Data Migration
Nightfall
OpenText Structured Data Manager
PHEMI Health DataLab
SAS Studio
Yandex Data Proc
e6data

Integrations Supported

Airtool
DataClarity Unlimited Analytics
DataGrip
DbVisualizer
RazorSQL
Acceldata
Apache Doris
Apache Phoenix
Astro by Astronomer
Cloudera Data Platform
Foundational
Hackolade
IBM App Connect
IBM Cloud Mass Data Migration
Nightfall
OpenText Structured Data Manager
PHEMI Health DataLab
SAS Studio
Yandex Data Proc
e6data

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hive.apache.org

Company Facts

Organization Name

Apache

Date Founded

1999

Company Location

United States

Company Website

db.apache.org/derby/

Categories and Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Categories and Features

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

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