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
Apache Spark™ serves as a comprehensive analytics platform designed for large-scale data processing. It delivers exceptional performance for both batch and streaming data by employing an advanced Directed Acyclic Graph (DAG) scheduler, a sophisticated query optimizer, and a robust execution engine. With over 80 high-level operators available, Spark simplifies the development of parallel applications. Additionally, it supports interactive use through various shells including Scala, Python, R, and SQL. Spark supports a rich ecosystem of libraries such as SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming, allowing for seamless integration within a single application. It is compatible with various environments, including Hadoop, Apache Mesos, Kubernetes, and standalone setups, as well as cloud deployments. Furthermore, Spark can connect to a multitude of data sources, enabling access to data stored in systems like HDFS, Alluxio, Apache Cassandra, Apache HBase, and Apache Hive, among many others. This versatility makes Spark an invaluable tool for organizations looking to harness the power of large-scale data analytics.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Actian Data Platform
No
Alteryx
No
Apache CXF
Yes
Apache Kylin
No
Apache Phoenix
No
Archon Data Store
No
Azure Marketplace
No
Baidu AI Cloud Stream Computing
No
Baidu Palo
No
Dagster
No
Integrations
Actian Data Platform
Yes
Alteryx
Yes
Apache CXF
No
Apache Kylin
Yes
Apache Phoenix
Yes
Archon Data Store
Yes
Azure Marketplace
Yes
Baidu AI Cloud Stream Computing
Yes
Baidu Palo
Yes
Dagster
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
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
No
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
Apache Software Foundation
Founded
1999
Country
United States
Website
spark.apache.org
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
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
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
Streaming Analytics
Data Enrichment
Yes
Data Wrangling / Data Prep
Yes
Multiple Data Source Support
Yes
Process Automation
Yes
Real-time Analysis / Reporting
No
Visualization Dashboards
No