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Dremio vs Materialize comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 9, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Dremio
Average Rating
8.4
Reviews Sentiment
6.6
Number of Reviews
11
Ranking in other categories
Cloud Data Warehouse (5th), Data Science Platforms (11th)
Materialize
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
AWS Marketplace (292nd)
 

Mindshare comparison

Dremio and Materialize aren’t in the same category and serve different purposes. Dremio is designed for Data Science Platforms and holds a mindshare of 2.4%, down 4.3% compared to last year.
Materialize, on the other hand, focuses on AWS Marketplace, holds 0.1% mindshare, up 0.1% since last year.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Dremio2.4%
Databricks9.3%
KNIME Business Hub6.8%
Other81.5%
Data Science Platforms
AWS Marketplace Mindshare Distribution
ProductMindshare (%)
Materialize0.1%
Stardog Enterprise Knowledge Graph Platform1.0%
CTG Cross-Border VPC Connection (Asia Pacific:HongKong-China:Beijing)0.9%
Other98.0%
AWS Marketplace
 

Featured Reviews

Corrr Moray - PeerSpot reviewer
SR BI developer at BRQ Digital Solutions
Has simplified complex data integration workflows and supported consistent reporting across multiple sources
We also have a close relationship with the team that does the Dremio maintenance for the database, like upgrading the versions and they know about some specific problems we had in the past, such as a memory leak. We had a memory leak on some versions, which sometimes stopped the service. Since we are using Dremio installed like a server, not a SaaS solution, many times we need to stop and restart the service to clear all the cache and all that, and this is the thing I should add. I see that many times the new versions of Dremio have not fixed old bugs, and in some new versions, old problems that were previously fixed come back again, so I think the upgrade part could use improvement. I remember using some features in the past, like pivot tables, which proved to be really difficult, but I know this is a fault also for other vendors. Pivoting, transposing, and unpivoting are often not so good. CTEs also many times prove to be not so good, so I think these two main items could be improved significantly if they standardize them.
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Computer Software Company
9%
Manufacturing Company
6%
Healthcare Company
6%
Construction Company
54%
Healthcare Company
9%
Insurance Company
8%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise5
Large Enterprise5
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Dremio?
I don't have information about pricing, setup cost, and licensing for Dremio, so I am not entitled to discuss it.
What needs improvement with Dremio?
I wouldn't say there is anything Dremio can be improved on. If I could change something, I would say many developers and programmers, when they are starting to work in this specific field or area, ...
What is your primary use case for Dremio?
I have been using Dremio for a year and a half. My main use case for Dremio is that I am able to access multiple databases and I can easily and quickly connect Dremio with my dashboards. In my rece...
Ask a question
Earn 20 points
 

Comparisons

No data available
 

Also Known As

Dremio AWS - BYOL
No data available
 

Overview

 

Sample Customers

UBS, TransUnion, Quantium, Daimler, OVH
Information Not Available
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms. Updated: March 2026.
885,667 professionals have used our research since 2012.