2022 Gartner® Market Guide for Analytics Query Accelerators

Looking to improve your data lake’s time to value with faster analytic performance? You’re not alone.

“Data and analytics leaders continue to struggle with getting value from data lake initiatives that have grown to be unwieldy or that cannot deliver adequate performance as they have evolved,” says Gartner. “For those data lakes that store some of their data in semistructured or structured and understood form, the accelerators provide a means of accessing the data in situ.”

Analytics query accelerators seek to shrink the analytic performance impact of the ‘zone of confusion’. Put another way, they are trying to move the line of ‘good enough’ to the point where the data lake can provide sufficient optimization on the data to make it suitable for an increasing percentage of workloads.”

 

The Zone of Confusion Data Analytics Infrastructure

 

Read the Gartner Market Guide for Analytics Query Accelerators to learn how:

  • Gartner defines an analytics query accelerator
  • Data and analytics leaders can improve the time to value of their data lake initiatives with technologies that provide SQL query support on a broad range of data sources
  • Organizations should consider which analytic workloads can run in the data lake vs. moving them out to the data warehouse
Gartner AQA Market Guide Render

Access the Resource Now

Gartner, Market Guide for Analytics Query Accelerators, By Merv Adrian, Adam Ronthal, 14 March 2022

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally 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 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 Chaosearch.

 

About ChaosSearch

At ChaosSearch, our goal is to help customers prepare for the future state of enterprise data management in the cloud by bridging the gap between data lakes and data warehouses. ChaosSearch helps modern organizations Know Better® by activating the data lake for analytics. The ChaosSearch Data Lake Platform indexes customers’ cloud data, rendering it fully searchable and enabling analytics at scale with massive reductions of time, cost and complexity. We publish analytic APIs that a data warehouse would also provide, indexing data within your cloud storage environment and activating your cloud object storage environment for search and analytics using known tools. It takes just minutes to start generating insights that support diverse use cases including operational analytics, DevOps analysis, agile BI, and log analytics in the cloud.

ChaosSearch was purpose-built for cost-effective, highly scalable log and SQL analytics in one unified offering. The patented ChaosSearch technology instantly transforms your cloud object storage (Amazon S3, Google Cloud Storage) into a hot, analytical data lake.