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Average Ratings 1 Rating
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
Integrations
Acryl Data
No
Airtool
No
Alteryx
No
Apache Iceberg
No
Apache Ivy
Yes
Baidu Sugar
No
DreamFactory
No
Flyte
No
IBM Cloud Pak for Integration
No
IBM watsonx.data
No
Integrations
Acryl Data
Yes
Airtool
Yes
Alteryx
Yes
Apache Iceberg
Yes
Apache Ivy
No
Baidu Sugar
Yes
DreamFactory
Yes
Flyte
Yes
IBM Cloud Pak for Integration
Yes
IBM watsonx.data
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