Market Guide for Analytics Query Accelerators


Gartner recently released the 2022 Market Guide for Analytics Query Accelerators and Starburst has been included as a Representative Vendor. We believe this report is a good read for enterprises looking to get more out of their distributed data. The Gartner Market Guide defines a market and explains what clients can expect it to do in the short term and helps you manage the risk of investing in an emerging market with insight into its direction and potential. 

Read the report to understand how analytics query accelerators help companies extract value from diverse data stores associated with data lake, data warehouse, and lakehouse architectures through SQL or SQL-like query support. The goal of these tools is to support BI dashboards, interactive query capabilities, data modeling, and other analytics use cases. 

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 Starburst.


In this new Gartner Market Guide, read a few important recommended next steps as well as market definitions, market direction, and important use cases. Download your complimentary copy this Market Guide to learn:

Market Definition

The market definition of analytics query accelerators.

Market Direction

In this new Gartner Market Guide, the “interest in analytics query accelerators is increasing as data and analytics leaders continue to struggle with getting value from their data lake initiatives.”

We believe you’ll learn why there is an interest in analytics query accelerators.

Use Cases & Data Sources

Understand key use cases for an analytics query accelerator as well as most commonly supported data sources by various vendors.

Gartner Market Guide for Analytics Query Accelerators, 14 March 2022, Merv Adrian, Adam Ronthal 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, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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