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What is Apache TomEE?

Apache TomEE, commonly known as "Tommy," is an application server that boasts full certification for Jakarta EE 9.1 and is built on the foundation of Apache Tomcat, starting from a standard Apache Tomcat zip file. The creation of TomEE begins with Apache Tomcat, and through the integration of essential libraries, it evolves into a packaged version that encompasses EE capabilities, resulting in the TomEE server. This server is recognized for its stability and readiness for production environments, as Apache TomEE 8.0 implements Java EE 8/Jakarta EE 8 while still supporting the javax namespace and functioning on Java 8 or later versions. It aligns primarily with the Jakarta EE 9.1 web profile and adopts the new jakarta namespace, ensuring compatibility with Java 11 or newer. There are four distinct variations of Apache TomEE available: web profile, MicroProfile, Plus, and Plume. The web profile variant of Apache TomEE delivers fundamental services such as servlets, JSP, JSF, JTA, JPA, CDI, bean validation, and EJB Lite, forming the core of the server's functionality. Meanwhile, the MicroProfile edition enriches the server with extended support for MicroProfile features, while the Plus and Plume versions further broaden capabilities by incorporating JMS, JAX-WS, and additional functionalities. In summary, Apache TomEE serves as a flexible and powerful option for developers who aim to utilize Jakarta EE in their software projects, making it an ideal choice for modern application development.

What is Amazon EMR?

Amazon EMR is recognized as a top-tier cloud-based big data platform that efficiently manages vast datasets by utilizing a range of open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. This innovative platform allows users to perform Petabyte-scale analytics at a fraction of the cost associated with traditional on-premises solutions, delivering outcomes that can be over three times faster than standard Apache Spark tasks. For short-term projects, it offers the convenience of quickly starting and stopping clusters, ensuring you only pay for the time you actually use. In addition, for longer-term workloads, EMR supports the creation of highly available clusters that can automatically scale to meet changing demands. Moreover, if you already have established open-source tools like Apache Spark and Apache Hive, you can implement EMR on AWS Outposts to ensure seamless integration. Users also have access to various open-source machine learning frameworks, including Apache Spark MLlib, TensorFlow, and Apache MXNet, catering to their data analysis requirements. The platform's capabilities are further enhanced by seamless integration with Amazon SageMaker Studio, which facilitates comprehensive model training, analysis, and reporting. Consequently, Amazon EMR emerges as a flexible and economically viable choice for executing large-scale data operations in the cloud, making it an ideal option for organizations looking to optimize their data management strategies.

Media

Media

Integrations Supported

AWS App Mesh
AWS Data Exchange
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Apache Hive
Apache Spark
Data Virtuality
Feast
Gurucul
Hadoop
HtmlUnit
Immuta
Lyftrondata
MetricFire
Pepperdata
Presto
Protegrity
Tecton
Tonic Ephemeral

Integrations Supported

AWS App Mesh
AWS Data Exchange
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Apache Hive
Apache Spark
Data Virtuality
Feast
Gurucul
Hadoop
HtmlUnit
Immuta
Lyftrondata
MetricFire
Pepperdata
Presto
Protegrity
Tecton
Tonic Ephemeral

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Apache

Company Location

United States

Company Website

tomee.apache.org

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/emr/

Categories and Features

Application Server

Admin Console
Alerts / Notifications
Application Security
Multi-Application Support
Multiple Environment Support
Open Standards Compliance
Reporting / Analytics
User Management

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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