Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Apache Xalan Project is responsible for creating and managing libraries and applications that convert XML documents through the use of XSLT standard stylesheets. Our various subprojects employ Java and C++ programming languages to develop the XSLT libraries. In April 2014, we released version 2.7.2 of Xalan-Java. Developers can download this latest version, Xalan-Java 2.7.2, for their projects. Ongoing development updates are available in our subversion repository. This recent release addresses a security vulnerability that was identified in version 2.7.1. Although the previous distributions of Xalan-J 2.7.1 can still be accessed through the Apache Archives, our project is considered mature and stable. Discussions regarding potential support for XPath-2 have been initiated, and we welcome your involvement in this significant overhaul of the library. You are encouraged to engage with us by following our progress and sharing your insights on the Java users and developers mailing lists, where your contributions would be greatly appreciated.
Description
Harness the power of your data and create innovative artificial intelligence (AI) solutions using Azure Databricks, where you can establish your Apache Spark™ environment in just minutes, enable autoscaling, and engage in collaborative projects within a dynamic workspace. This platform accommodates multiple programming languages such as Python, Scala, R, Java, and SQL, along with popular data science frameworks and libraries like TensorFlow, PyTorch, and scikit-learn. With Azure Databricks, you can access the most current versions of Apache Spark and effortlessly connect with various open-source libraries. You can quickly launch clusters and develop applications in a fully managed Apache Spark setting, benefiting from Azure's expansive scale and availability. The clusters are automatically established, optimized, and adjusted to guarantee reliability and performance, eliminating the need for constant oversight. Additionally, leveraging autoscaling and auto-termination features can significantly enhance your total cost of ownership (TCO), making it an efficient choice for data analysis and AI development. This powerful combination of tools and resources empowers teams to innovate and accelerate their projects like never before.
API Access
Has API
No
API Access
Has API
No
Integrations
Axonius
No
Azure Confidential Computing
No
Azure Data Lake
No
Azure Marketplace
No
Datagaps ETL Validator
No
Indent
No
KloudMate
No
Kyvos Semantic Layer
No
Mage Platform
No
Microsoft Azure
No
Integrations
Axonius
Yes
Azure Confidential Computing
Yes
Azure Data Lake
Yes
Azure Marketplace
Yes
Datagaps ETL Validator
Yes
Indent
Yes
KloudMate
Yes
Kyvos Semantic Layer
Yes
Mage Platform
Yes
Microsoft Azure
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
Yes
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
No
Vendor Details
Company Name
The Apache Software Foundation
Founded
1999
Country
United States
Website
xalan.apache.org
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/databricks/
Product Features
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No