Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Apache ServiceMix is an adaptable, open-source integration platform that consolidates the capabilities of Apache ActiveMQ, Camel, CXF, and Karaf into a robust runtime environment ideal for developing custom integration solutions. It delivers a comprehensive, enterprise-ready ESB that operates solely on OSGi technology. With Apache ActiveMQ, it ensures dependable messaging, while Apache Camel facilitates messaging, routing, and the implementation of Enterprise Integration Patterns. Furthermore, Apache CXF supports both WS and RESTful web services, and the OSGi-based server runtime is powered by Apache Karaf. Users can also leverage a BPM engine through Activiti and benefit from complete JPA support via Apache OpenJPA. For enhanced reliability, XA transaction management is managed through JTA and Apache Aries. Additionally, the platform offers legacy support for the deprecated JBI standard (post-ServiceMix 3.x series) through the Apache ServiceMix NMR, which features an extensive Event, Messaging, and Audit API. Applications tailored for ServiceMix can be constructed utilizing OSGi Blueprint, OSGi Declarative Services, and the now-legacy Spring DM framework, allowing for versatile integration possibilities. This makes Apache ServiceMix an invaluable tool for developers seeking to create sophisticated integration solutions.
Description
IBM Analytics for Apache Spark offers a versatile and cohesive Spark service that enables data scientists to tackle ambitious and complex inquiries while accelerating the achievement of business outcomes. This user-friendly, continually available managed service comes without long-term commitments or risks, allowing for immediate exploration. Enjoy the advantages of Apache Spark without vendor lock-in, supported by IBM's dedication to open-source technologies and extensive enterprise experience. With integrated Notebooks serving as a connector, the process of coding and analytics becomes more efficient, enabling you to focus more on delivering results and fostering innovation. Additionally, this managed Apache Spark service provides straightforward access to powerful machine learning libraries, alleviating the challenges, time investment, and risks traditionally associated with independently managing a Spark cluster. As a result, teams can prioritize their analytical goals and enhance their productivity significantly.
API Access
Has API
Yes
API Access
Has API
No
Integrations
ActiveMQ
Yes
Activiti
Yes
Apache CXF
Yes
Apache Camel
Yes
Apache Spark
No
Karaf
Yes
RadiantOne
No
Switch Automation
No
Integrations
ActiveMQ
No
Activiti
No
Apache CXF
No
Apache Camel
No
Apache Spark
Yes
Karaf
No
RadiantOne
Yes
Switch Automation
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
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
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
servicemix.apache.org
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/analytics/ca/en/technology/cloud-data-services/spark-as-a-service/
Product Features
Enterprise Service Bus (ESB)
Data Source Connectors
No
Electronic Data Interchange (EDI)
No
Enterprise Application Integration
No
Enterprise Integration Patterns (EIP)
No
Integrations Management
No
Messaging
No
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Integration
Dashboard
No
ETL - Extract / Transform / Load
No
Metadata Management
No
Multiple Data Sources
No
Web Services
No