Stardog Recognized as Example Supplier in Five Gartner® Hype Cycle ™ 2021 Reports


ARLINGTON, Virginia., September 9, 2021 / PRNewswire / – Stardog, the leading provider of Enterprise Knowledge Graph (EKG) technology platform, announced today that it has been recognized as a sample supplier in five separate Gartner Hype Cycle 2021 reports. Specifically, Gartner has identified Stardog in the following Hype Cycle reports:

  • Data Management Hype Cycle, 20211
  • Business Information Management Hype Cycle, 20212
  • Hype Cycle for Application Architecture and Integration, 20213
  • Digital government technology hype cycle, 20214
  • Hype Cycle for Life Sciences Research and Development, 20215

Stardog believes its inclusion in these Gartner reports confirms the company’s momentum and commitment to helping customers leverage knowledge graph technology to speed up time to information, accelerate business productivity. data lakes and modernize analytics to gain competitive advantage. Through a unique combination of graphing, virtualization and inference technologies, Stardog’s knowledge graph platform is the key ingredient in transforming an existing data and analytics infrastructure into a fabric of data – a modern technological approach which is hailed as the next generation data management solution. By weaving together data from internal silos and external sources, data fabrics create a transparent information network and support the entire connected enterprise.

Gartner defines the data factory as “… an emerging concept of data management to achieve flexible and reusable pipelines, services, and data integration semantics.” The report further states that “a data fabric harnesses both traditional and emerging technologies in the design and evolution of enterprise architecture. It is composable and supports flexibility, scalability, and extensibility in an infrastructure used by humans or machines across multiple data and analytics use cases. “2

“We believe our recognition in these Gartner reports validates the importance of our Enterprise Knowledge Graph platform as a key ingredient in transforming our customers’ existing data infrastructure into a highly efficient data structure,” said declared Kendall clark, founder and CEO of Stardog. “Digital transformation demands rapid insight into messy real-world data, but traditional data integration platforms simply cannot cope with the increasing complexity, ever-changing business demands and increased demand for business. ‘organized data sets. ”

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Please tweet: platform provider #knowledgegraph @StardogHQ recognized as an example supplier in 5 @Gartner_inc #HypeCycle Reports #datafabric #dataintegration

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About Stardog

Stardog was founded in 2015 with the vision to power the connected business. Stardog’s Enterprise Knowledge Graph technology platform transforms data into knowledge to enable more efficient digital transformations. With Stardog, customers reduce data preparation times by up to 90% by transforming the enterprise data infrastructure into a complete end-to-end data matrix. Industry leaders including BNY Mellon, Bosch and NASA use Stardog to create a flexible data structure that can support countless applications. Stardog is a private venture capital company headquartered in Arlington, Virginia. For more information, please visit or follow them @StardogHQ.

1 Gartner, “Data Management Hype Cycle, 2021” Philippe russom, Donald feinberg, July 27, 2021. (Gartner subscription required)

2 Gartner, “The Hype Cycle for Enterprise Information Management, 2021”, Donna Medeiros, André Blanc, August 2, 2021. (Gartner subscription required)

3 Gartner, “Hype Cycle for Application Architecture and Integration, 2021”, Eric Thou, Massimo Pezzini, July 15, 2021. (Gartner subscription required)

4 Gartner, “Hype Cycle for Digital Government Technology, 2021,” Alia mendonsa, July 21, 2021. (Gartner subscription required)

5 Gartner, “Hype Cycle for Life Sciences Research and Development, 2021” Jeff smith, Michael shanler, July 19, 2021. (Gartner subscription required)

SOURCE Stardog

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