Gartner Research

Hype Cycle for Data Management, 2017

Published: 26 July 2017

ID: G00313950

Analyst(s): Adam Ronthal , Donald Feinberg


This Hype Cycle helps CIOs and data and analytics leaders understand the evolutionary pace of maturing and emerging data management technologies and challenges. It will create awareness of novel technologies as well as the opportunities and risks in the nascent areas.

Table Of Contents


  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • SQL Interfaces to Cloud Object Stores
    • In-Process HTAP
  • At the Peak
    • In-DBMS Analytics
    • Data as a Service
    • File Analysis
    • Data Catalog
    • Distributed Ledgers
    • Self-Service Data Preparation
    • Event Stream Processing
    • Multimodel DBMSs
    • Blockchain
    • Point-of-Decision HTAP
    • Data Lakes
  • Sliding Into the Trough
    • Graph DBMSs
    • Information Stewardship Applications
    • Spark
    • Operational In-Memory DBMS
    • Application Data Management
    • Key-Value DBMSs
    • Cross-Platform Structured Data Archiving
    • Enterprise Taxonomy and Ontology Management
    • iPaaS for Data Integration
    • Hadoop SQL Interfaces
    • Wide-Column DBMSs
    • Logical Data Warehouse
    • Master Data Management
    • Hadoop Distributions
    • Document Store DBMSs
  • Climbing the Slope
    • Analytical In-Memory DBMS
    • Metadata Management Solutions
    • SaaS Archiving of Messaging Data
    • Data Integration Tool Suites
    • Enterprise Information Archiving
    • Content Migration
    • In-Memory Data Grids
    • Database Encryption
  • Entering the Plateau
    • Database Platform as a Service
    • Data Virtualization
    • Data Quality Tools
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

Gartner Recommended Reading

©2022 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.

Already have a Gartner Account?

Purchase this Document

To purchase this document, you will need to register or sign in above

Become a client

Learn how to access this content as a Gartner client.