Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Apache TomEE, affectionately known as “Tommy”, is a certified application server for Jakarta EE 9.1, built upon the foundation of Apache Tomcat by utilizing a standard Apache Tomcat zip file. The process begins with the base Apache Tomcat, to which we integrate our specific libraries and then package everything together. The end product is essentially Tomcat enhanced with additional EE features, resulting in TomEE. This server is stable and production-ready, with Apache TomEE 8.0 implementing Java EE 8/Jakarta EE 8 while maintaining support for the javax namespace, and it operates on Java 8 or later versions. Furthermore, it aligns closely with the Jakarta EE 9.1 web profile and embraces the new jakarta namespace, requiring Java 11 or more advanced versions. Apache TomEE is available in four distinct variations: web profile, MicroProfile, Plus, and Plume, each tailored for specific requirements. The web profile of Apache TomEE includes essential components such as servlets, JSP, JSF, JTA, JPA, CDI, bean validation, and EJB Lite. Meanwhile, Apache TomEE MicroProfile introduces functionalities that cater to MicroProfile needs, while TomEE Plus and Plume extend capabilities to include JMS, JAX-WS, and several other features. With its robust architecture and diverse profiles, Apache TomEE is designed to accommodate a wide array of enterprise applications.
Description
MLlib, the machine learning library of Apache Spark, is designed to be highly scalable and integrates effortlessly with Spark's various APIs, accommodating programming languages such as Java, Scala, Python, and R. It provides an extensive range of algorithms and utilities, which encompass classification, regression, clustering, collaborative filtering, and the capabilities to build machine learning pipelines. By harnessing Spark's iterative computation features, MLlib achieves performance improvements that can be as much as 100 times faster than conventional MapReduce methods. Furthermore, it is built to function in a variety of environments, whether on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or within cloud infrastructures, while also being able to access multiple data sources, including HDFS, HBase, and local files. This versatility not only enhances its usability but also establishes MLlib as a powerful tool for executing scalable and efficient machine learning operations in the Apache Spark framework. The combination of speed, flexibility, and a rich set of features renders MLlib an essential resource for data scientists and engineers alike.
API Access
Has API
API Access
Has API
Integrations
Java
Amazon EC2
Apache Cassandra
Apache Geronimo
Apache HBase
Apache Hive
Apache Mesos
Apache Spark
Apache Tomcat
Hadoop
Integrations
Java
Amazon EC2
Apache Cassandra
Apache Geronimo
Apache HBase
Apache Hive
Apache Mesos
Apache Spark
Apache Tomcat
Hadoop
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Apache
Country
United States
Website
tomee.apache.org
Vendor Details
Company Name
Apache Software Foundation
Founded
1995
Country
United States
Website
spark.apache.org/mllib/
Product Features
Application Server
Admin Console
Alerts / Notifications
Application Security
Multi-Application Support
Multiple Environment Support
Open Standards Compliance
Reporting / Analytics
User Management
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization