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Description

Apache Ant serves as a Java library and a command-line utility designed to execute processes outlined in build files, where targets and extension points are interdependent. Primarily, Ant is utilized for building Java applications, providing various built-in tasks that facilitate compiling, assembling, testing, and running these applications. Additionally, Ant proves to be effective in constructing non-Java applications, such as those written in C or C++. Beyond its specific language applications, Ant can manage any process that can be articulated in terms of tasks and targets, showcasing its versatility. Being developed in Java, Ant allows users to create custom "antlibs" that include tailored tasks and types while also offering a plethora of existing commercial and open-source "antlibs." This flexibility means that Ant does not enforce any specific coding standards or directory structures, making it adaptable for diverse Java projects that choose to implement it as their build system. Consequently, the adaptability and extensive features of Ant make it a preferred choice for developers across various programming environments.

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

ActionIQ No 
Amadea No 
Apache Knox No 
Apache Kylin No 
BigBI No 
Chat2DB No 
ClicData No 
Cloudera Data Platform No 
Data Virtuality No 
E-MapReduce No 
Hackolade No 
Hue No 
LightBeam.ai No 
Nightfall No 
SQL No 
StarRocks No 
Truedat No 
Union Cloud No 
WINDEV No 

Integrations

ActionIQ Yes 
Amadea Yes 
Apache Knox Yes 
Apache Kylin Yes 
BigBI Yes 
Chat2DB Yes 
ClicData Yes 
Cloudera Data Platform Yes 
Data Virtuality Yes 
E-MapReduce Yes 
Hackolade Yes 
Hue Yes 
LightBeam.ai Yes 
Nightfall Yes 
SQL Yes 
StarRocks Yes 
Truedat Yes 
Union Cloud Yes 
WINDEV Yes 

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 Yes 

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

ant.apache.org

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

hive.apache.org

Product Features

Build Automation

Automated Testing No 
Build Cache No 
Build Management Tools No 
Build Metrics No 
Change Only Compiling No 
Debugging Tools No 
Dependency Management No 
IDE Compatibility No 
Parallel Testing No 
Plugin Library No 
Source Code Management No 
Version Conflict Resolution 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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