Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Apache Synapse is an efficient and lightweight Enterprise Service Bus (ESB) that excels in performance. It is driven by a rapid and asynchronous mediation engine, which allows for outstanding handling of XML, Web Services, and REST. Beyond just XML and SOAP, Apache Synapse accommodates a variety of content interchange formats including plain text, binary, Hessian, and JSON. The extensive selection of transport adapters enhances Synapse's ability to interact across numerous application and transport layer protocols. Currently, it supports various protocols such as HTTP/S, Mail (POP3, IMAP, SMTP), JMS, TCP, UDP, VFS, SMS, XMPP, and FIX. With its high-performing PassThrough HTTP transport, it efficiently manages all mediation scenarios. Moreover, it facilitates ultra-fast and low-latency mediation of HTTP requests while supporting a vast number of simultaneous inbound (client to ESB) and outbound (ESB to server) connections. The engine is designed to intelligently manage message content, incorporating content awareness with a shared buffer for effective data handling, ensuring optimal performance in diverse operational contexts.
Description
Easily create and execute highly parallel data transformation and processing tasks using U-SQL, R, Python, and .NET across vast amounts of data. With no need to manage infrastructure, you can process data on demand, scale up instantly, and incur costs only per job. Azure Data Lake Analytics allows you to complete big data tasks in mere seconds. There’s no infrastructure to manage since there are no servers, virtual machines, or clusters that require monitoring or tuning. You can quickly adjust the processing capacity, measured in Azure Data Lake Analytics Units (AU), from one to thousands for every job. Payment is based solely on the processing used for each job. Take advantage of optimized data virtualization for your relational sources like Azure SQL Database and Azure Synapse Analytics. Your queries benefit from automatic optimization, as processing is performed close to the source data without requiring data movement, thereby enhancing performance and reducing latency. Additionally, this setup enables organizations to efficiently utilize their data resources and respond swiftly to analytical needs.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Azure Data Lake
No
Datafi
Yes
Microsoft Azure
No
Openbridge
No
Timbr.ai
Yes
Integrations
Azure Data Lake
Yes
Datafi
No
Microsoft Azure
Yes
Openbridge
Yes
Timbr.ai
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$2 per hour
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
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
synapse.apache.org
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/data-lake-analytics/
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