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2020 Cool Vendor
In DataOps By Gartner

SEE REPORT
Data and analytics leaders report spending 36% of their time on data preparation and data integration, more than any other data management task. This creates bottlenecks around faster data consumption throughout the enterprise.
COOL VENDORS IN DATAOPS REPORT 2020GARTNER
Integrate data governance and stewardship practices and policies into any new tools and platforms used to deliver on DataOps concepts to counter the trend of data agility leading to data chaos.
COOL VENDORS IN DATAOPS REPORT 2020GARTNER

What makes a cool vendor in DataOps:

  • Okera workers are co-located on EMR nodes providing consistent policy enforcement across engines. This effective, efficient enforcement method ensures high performance and lower TCO.
  • Native support across big data cloud applications allowing for broad ecosystem compatibility and future proofing your platform.
  • Unified Metadata across all sources, API-first integration with business catalogs and external metadata.
  • Policy management at scale (ABAC) for decentralized, distributed data stewardship enables agile governance across data consumer teams.
  • Write the policy once and have it persist across all tools and storage, saving time, money and reducing risk.

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Gartner “Cool Vendors in DataOps,” Robert Thanaraj and Ankush Jainl, October 6, 2020. The GARTNER COOL VENDOR badge is a trademark and service mark of Gartner, Inc.
and/or its affiliates and is used herein with permission. All rights reserved. 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 & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research,
including any warranties of merchantability or fitness for a particular purpose.
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