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Featured Dremio reviews

Dremio mindshare

Product category:
As of October 2025, the mindshare of Dremio in the Data Science Platforms category stands at 3.1%, down from 4.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
Dremio3.1%
Databricks13.9%
KNIME Business Hub11.9%
Other71.1%
Data Science Platforms

PeerResearch reports based on Dremio reviews

TypeTitleDate
CategoryData Science PlatformsOct 30, 2025Download
ProductReviews, tips, and advice from real usersOct 30, 2025Download
ComparisonDremio vs DatabricksOct 30, 2025Download
ComparisonDremio vs Amazon SageMakerOct 30, 2025Download
ComparisonDremio vs KNIME Business HubOct 30, 2025Download
Suggested products
TitleRatingMindshareRecommending
Databricks4.113.9%96%91 interviewsAdd to research
Teradata4.1N/A87%77 interviewsAdd to research
 
 
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Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

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Stability

Review data by company size

By reviewers
Company SizeCount
Small Business1
Midsize Enterprise4
Large Enterprise4
By reviewers
By visitors reading reviews
Company SizeCount
Small Business189
Midsize Enterprise87
Large Enterprise463
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
29%
Computer Software Company
9%
Manufacturing Company
7%
Healthcare Company
5%
Comms Service Provider
4%
Real Estate/Law Firm
4%
Retailer
3%
Government
3%
University
3%
Insurance Company
3%
Energy/Utilities Company
3%
Performing Arts
2%
Consumer Goods Company
2%
Recreational Facilities/Services Company
2%
Wholesaler/Distributor
2%
Educational Organization
2%
Media Company
2%
Transportation Company
2%
Outsourcing Company
1%
Construction Company
1%
Non Profit
1%
Marketing Services Firm
1%
Hospitality Company
1%
Logistics Company
1%
Legal Firm
1%
Aerospace/Defense Firm
1%
Engineering Company
1%
Pharma/Biotech Company
1%
Non Tech Company
1%
Training & Coaching Company
1%

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Dremio customers

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Dremio Reviews Summary
Author infoRatingReview Summary
Senior Software Architect at USEReady4.0I've explored Dremio primarily for proof of concept as a data virtualization application. While it's effective in connecting and visualizing data on SaaS, it lacks Salesforce connectivity and has fewer connectors compared to Starburst, which offers more robust integration options.
Data Consultant at a comms service provider with 201-500 employees4.0I've used Dremio primarily as a logical data warehouse to reduce storage costs and centralize data access, appreciating its interface and integration features, though I find data cataloging complex without the cloud version's Arctic support.
SR BI developer at BRQ Digital Solutions4.0I've used Dremio for three years to simplify data integration and BI reporting, valuing its federated queries and lineage visibility, though stability issues, upgrade bugs, and limited transformation features remain areas that need improvement.
Investment Banking Associate at Vietcap4.0We use Dremio for financial data analytics with seamless integration to various databases. It's easy to build queries, but we face performance issues, especially with MongoDB integration. Despite high licensing costs, it's cost-effective in terms of manpower.
Sr Manager at a transportation company with 10,001+ employees3.5We are using Dremio to build a data framework and data queue alongside DBT and Databricks, but integrating it with Databricks poses authentication challenges. We are still exploring its features and deploying it across various departments.
Senior Software Engineer Technical Lead at Apple5.0I appreciate Dremio for visualizing BI and Tableau data simultaneously and its valuable feature of generating refresh reflections. However, improvements are needed in error handling and table performance. Despite testing alternatives, Dremio remains our preferred solution.
Founder/ CEO at Morphogen Data Inc.5.0I use Dremio for high-performance queries on data lakes, valuing its data lineage and provenance for compliance and machine learning. It has potential but needs improvements in its automated SQL query tool for users without SQL experience.
Senior Data Engineer at AppsFlyer3.5No summary available