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What is Apache Xalan?

The Apache Xalan Project is dedicated to creating and sustaining libraries and applications that apply the XSLT standard stylesheets for the transformation of XML documents. Our diverse subprojects are developed using the Java and C++ programming languages, which are the foundations for our XSLT libraries. In April 2014, we released version 2.7.2 of Xalan-Java, which is accessible for download to support your development efforts. Additionally, you can explore ongoing developments in our subversion repository. This recent version resolves a security issue that was present in version 2.7.1, which remains available in the Apache Archives. As a project with a long-standing history, we are engaged in discussions about the potential support for XPath-2, and we encourage your participation in this crucial enhancement of the library. Contributions and updates can be communicated through the Java users and developers mailing lists, promoting collaboration and innovation within our community. Your engagement has the potential to significantly elevate our joint endeavors to further refine and enhance the library. Together, we can make a substantial impact on the future of Xalan.

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.

Media

Media

Integrations Supported

Integrations Supported

Airtool
Apache Ranger
Apache Spark
Ascend
Fosfor Decision Cloud
Hackolade
IBM Cloud Mass Data Migration
IBM Cloud Pak for Integration
IRI CoSort
LT Browser
MLlib
Nightfall
RATH
SAS Federation Server
Salesforce Data 360
TapData
Truedat
Union Cloud
lakeFS

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

xalan.apache.org

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hive.apache.org

Categories and Features

XML Databases

Not specified

Categories and Features

ETL

Not specified

Query Engines

Not specified

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