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RESEARCH & RESOURCES

Gartner Hype Cycle for Data Management, 2021

November 12, 2021

Per Gartner, “Innovations continue to enter the field of data management every day. Their potential benefits are numerous, but challenging to understand and track.” The Gartner Hype Cycle for Data Management, 2021, assesses more than 30 different categories of data management technologiesincluding data lakes, multi-model DBMS, and logical data warehousesbased on their business benefit and years to mainstream adoption and maturity.

The report helps data and analytics leaders plan ahead and make informed decisions relative to emerging and maturing data management technologies.

 

Did you think the data lake was dead? Think again.

Many data and analytics leaders have become disillusioned with the idea of the data lake after seeing it rise and fall since its inception in 2010. But unlike the initial data lakes which were built on Apache Hadoop and struggled to provide value, today’s data lakes are built on cloud object storage and can be activated to support multi-dimensional analytics use cases including full text search, relational queries, and machine learning.

Gartner Hype Cycle for Data Management, 2021 reveals that data lake technologies are now poised to exit the Trough of Disillusionment and enter the Slope of Enlightenment.

According to Gartner, “A data lake, when designed properly, can provision data for the diverse exploration requirements of multiple user types and use cases.”

It further adds, “Today’s data lake is on cloud, and it supports multiple analytics techniques (not just data science).”

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Gartner Hype Cycle for Data Management, 2021, Philip Russom, Donald Feinberg, 27th July 2021.

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.

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from ChaosSearch.

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