|By Liz McMillan||
|August 2, 2014 01:15 PM EDT||
TIBCO Software Inc. has announced that TIBCO StreamBase®, the company's streaming data analytics platform, has been recognized as a leader in The Forrester Wave™: Big Data Streaming Analytics Platforms, Q3 2014 from Forrester Research, Inc.
Big Data Streaming Analytics allow a business to process and act on massive amounts of information while it's still moving, as opposed to waiting for data to come to rest in a data warehouse or Hadoop. The technology is being used increasingly as new sources of data become common, such as streaming sensor data from the Internet of Things, streaming social media data like Twitter, and streaming mobile information from apps.
According to Forrester, "The velocity of business demands streaming analytics", with a 66% increase in the use of streaming analytics in the past two years. Products in the report were rated on a number of criteria to evaluate current offerings, strategy, and market presence. TIBCO achieved the highest possible score for Implementation Support and Ability to Execute.
"TIBCO offers the most comprehensive platform for processing and acting on live and historical data," said Mark Palmer, vice president and general manager, event processing, TIBCO. "This includes TIBCO BusinessEvents for developing complex business rules, TIBCO StreamBase for streaming analytics, and TIBCO StreamBase LiveView Data Mart, the only data mart in the industry specifically designed to be a real-time analytics platform enabling users to visualize information in motion, rather than at rest."
To learn more about TIBCO Software for FAST DATA and to download a complimentary copy of The Forrester Wave™: Big Data Streaming Analytics Platforms, Q3 2014, visit the TIBCO Software website: http://www.tibco.com/eventprocessing/forresterwave
Learn more about how TIBCO can help you rapidly develop, test, and deploy applications to process and take action on streaming data - visit www.tibco.com.
A critical component of any IoT project is what to do with all the data being generated. This data needs to be captured, processed, structured, and stored in a way to facilitate different kinds of queries. Traditional data warehouse and analytical systems are mature technologies that can be used to handle certain kinds of queries, but they are not always well suited to many problems, particularly when there is a need for real-time insights.
Jan. 17, 2017 06:45 PM EST Reads: 6,169
Jan. 17, 2017 05:15 PM EST Reads: 3,546
Jan. 17, 2017 05:00 PM EST Reads: 362
Jan. 17, 2017 04:45 PM EST Reads: 3,034
Jan. 17, 2017 04:45 PM EST Reads: 587
Jan. 17, 2017 04:45 PM EST Reads: 798
Jan. 17, 2017 04:30 PM EST Reads: 2,890
Jan. 17, 2017 04:30 PM EST Reads: 9,574
Jan. 17, 2017 04:15 PM EST Reads: 1,964
Jan. 17, 2017 03:30 PM EST Reads: 5,312
Jan. 17, 2017 02:45 PM EST Reads: 4,099
Jan. 17, 2017 02:30 PM EST Reads: 1,732
Jan. 17, 2017 02:15 PM EST Reads: 3,350
Jan. 17, 2017 02:15 PM EST Reads: 6,316
Jan. 17, 2017 02:15 PM EST Reads: 3,625