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Dremio Reviews

Vendor: Dremio
4.3 out of 5

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Featured Dremio reviews

Dremio mindshare

Product category:
As of September 2025, the mindshare of Dremio in the Data Science Platforms category stands at 3.3%, 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 (%)
Dremio3.3%
Databricks14.5%
KNIME Business Hub12.3%
Other69.9%
Data Science Platforms

PeerResearch reports based on Dremio reviews

TypeTitleDate
CategoryData Science PlatformsSep 14, 2025Download
ProductReviews, tips, and advice from real usersSep 14, 2025Download
ComparisonDremio vs DatabricksSep 14, 2025Download
ComparisonDremio vs Amazon SageMakerSep 14, 2025Download
ComparisonDremio vs KNIME Business HubSep 14, 2025Download
Suggested products
TitleRatingMindshareRecommending
Databricks4.114.5%96%91 interviewsAdd to research
Teradata4.1N/A87%76 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business1
Midsize Enterprise3
Large Enterprise3
By reviewers
By visitors reading reviews
Company SizeCount
Small Business194
Midsize Enterprise92
Large Enterprise527
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
29%
Computer Software Company
9%
Manufacturing Company
6%
Healthcare Company
5%
University
4%
Insurance Company
4%
Comms Service Provider
3%
Government
3%
Real Estate/Law Firm
3%
Retailer
3%
Energy/Utilities Company
3%
Performing Arts
2%
Recreational Facilities/Services Company
2%
Consumer Goods Company
2%
Media Company
2%
Wholesaler/Distributor
2%
Educational Organization
2%
Transportation Company
2%
Construction Company
1%
Outsourcing Company
1%
Legal Firm
1%
Non Profit
1%
Marketing Services Firm
1%
Pharma/Biotech Company
1%
Logistics Company
1%
Hospitality Company
1%
Aerospace/Defense Firm
1%
Engineering Company
1%

Compare Dremio with alternative products

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Dremio customers

Related questions

 
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.
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
Security Data Engineer at a pharma/biotech company with 5,001-10,000 employees5.0I use Dremio for data engineering, benefiting from its capability to query files on my storage. While it functions like a data warehouse, limitations exist, notably lacking support for recursive CTEs and simplifying complex nested data, impacting my work involving hierarchical structures.
Database Engineer at a tech services company with 201-500 employees4.0No summary available