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TIBCO Named a Leader in Gartner’s Magic Quadrant

TIBCO Software

TIBCO Software Inc., a global leader in integration, API management, and analytics, today announced it has been named a Leader in Gartner’s 2019 Magic Quadrant for Data Science and Machine Learning Platforms. In Gartner’s latest report, the company improved its position compared to the previous year, now recognized in the Leaders quadrant. Previously, TIBCO also scored in the top quartile for product refinement, business exploration, and advanced prototyping use cases.*

“We are delighted to be recognized as a Leader in Gartner’s Magic Quadrant for Data Science and Machine Learning Platforms,” said Thomas Been, chief marketing officer, TIBCO. “We believe our position in this report reflects our dedication and distinctive ability to help customers optimize collaboration, integration, and operationalization to fully realize the value of their data science initiatives.”

Gartner notes that “Leaders have a strong presence and significant mind share in the data science and ML market. They demonstrate strength in depth and breadth across the full data exploration, model development and operationalization process. While providing outstanding service and support, Leaders are also nimble in responding to rapidly changing market conditions. The number of expert and citizen data scientists using Leaders’ platforms is significant and growing.”

Gartner continues, “Leaders are in the strongest position to influence the market’s growth and direction. They address the majority of industries, geographies, data domains, and use cases, and therefore have a solid understanding of, and strategy for, this market. Not only can they focus on executing effectively, based on current market conditions, but they also have solid roadmaps to take advantage of new developments and advancing technologies in this rapidly transforming sector. They provide thought leadership and innovative differentiation, often disrupting the market in the process. Leaders are suitable vendors for most organizations to evaluate. They should not be the only vendors evaluated, however, as other vendors might address an organization’s unique needs more precisely. Leaders provide a benchmark of high standards to which others should be compared.”

To read Gartner’s full evaluation of TIBCO, download a complimentary copy of the Magic Quadrant for Data Science and Machine Learning Platforms, (Carlie Idoine, Peter Krensky, et al., 28 January 2019) report here.

Visit TIBCO’s booth and hear its thought leaders present at the upcoming Gartner Data and Analytics Summits in Sydney (18-19 February; booth #PREM4), London (4-6 March), Orlando (18-21 March), and São Paulo (29-30 May).

*Gartner, Critical Capabilities for Data Science and Machine Learning Platforms, Peter Krensky, Carlie Idoine, et al., 4 April 2018.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About TIBCO
TIBCO fuels digital business by enabling better decisions and faster, smarter actions through the TIBCO Connected Intelligence Cloud. From APIs and systems to devices and people, we interconnect everything, capture data in real time wherever it is, and augment the intelligence of your business through analytical insights. Thousands of customers around the globe rely on us to build compelling experiences, energize operations, and propel innovation.

TIBCO and the TIBCO logo are trademarks or registered trademarks of TIBCO Software Inc. and/or its subsidiaries in the United States and/or other countries. All other product and company names and marks mentioned in this document are the property of their respective owners and are mentioned for identification.

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