Gartner Research

Hype Cycle for Big Data, 2014

Published: 04 August 2014

ID: G00261655

Analyst(s): Frank Buytendijk

Summary

Big data has just passed the top of the Hype Cycle, and moving toward the Trough of Disillusionment. This is not a bad thing. It means the market starts to mature, becoming more realistic about how big data can be useful for organizations — large and small. Big data will become business as usual.

Table Of Contents

Analysis

  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Context Brokers
    • Virtual Personal Assistants
    • Personal Analytics
    • Information Valuation and Infonomics
    • Data as a Service
    • Operational Intelligence Platforms
    • Supply Chain Big Data Analytics
    • Quantified Self
    • Data Lakes
    • Hadoop-Based Data Discovery
    • Graph Analysis
    • Open Data
    • Search-Based Data Discovery Tools
    • Graph Database Management Services
    • MDM and Social Data
    • Prescriptive Analytics
  • At the Peak
    • Big Data Analytics for Customer Intelligence
    • Data Science
    • High-Performance Message Infrastructure
    • Predictive Analytics
    • Smart Advisors
    • Information Capabilities Framework
    • Big Data Analytics for Fraud and Security
    • Information Semantic Services
    • Table-Style Database Management Services
    • Enterprise Information Architecture
    • Hadoop SQL Interfaces
    • Internet of Things
    • Logical Data Warehouse
    • Natural-Language Question Answering
    • Wearable User Interfaces
    • Document Store Database Management Systems
    • Complex-Event Processing
  • Sliding Into the Trough
    • Key-Value Database Management Systems
    • In-Memory Database Management Systems
    • Content Analytics
    • Dynamic Data Masking
    • Telematics
    • Hadoop Distributions
    • Entity Resolution and Analysis
    • In-Memory Data Grids
    • Data Warehouse Platform as a Service (dwPaaS)
    • Social Analytics
    • Cloud Computing
    • Linked Data
  • Climbing the Slope
    • In-Memory Analytics
    • Data Federation/Virtualization
  • 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?

Log In

Purchase this Document

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

Buy Now

Become a client

Learn how to access this content as a Gartner client.