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Dremio

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71 reviews
  • 1 profiles
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Average star rating
4.6
Serving customers since
2015
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Dremio Reviews

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Luca P.
LP
Luca P.
CTO - Growth Marketer full stack #MarTech | ⚡️ SaaS Advisor
07/06/2025
Validated Reviewer
Review source: Seller invite
Incentivized Review

Unified lakehouse platform for Analytics and Al

I love the platform’s ability to connect to a wide array of data sources, including relational databases (PostgreSQL, MySQL, Oracle, MS SQL), NoSQL systems (MongoDB, Elasticsearch), and cloud or file-based storage like S3 and HDFS, without requiring complex ETL pipelines. This approach simplifies data integration and reduces engineering overhead. The SQL query engine is highly performant, delivering sub-second response times even on large datasets, and supports live data visualization and dynamic previews during query preparation. Data reflections feature acts as an intelligent caching layer, optimizing query performance and enabling low-latency dashboard refreshes for BI workloads. The platform’s virtual datasets allow for complex query logic to be encapsulated and reused, supporting data-as-code principles such as Git-like version control and experimentation. Cloud-native architecture offers elastic compute scaling and is available as a managed service on AWS and Azure, making it suitable for both on-premises and cloud deployments. It supports role-based access control and multitenancy, which is essential for enterprise environments with strong data governance requirements.
Verified User in Information Technology and Services
CI
Verified User in Information Technology and Services
07/03/2025
Validated Reviewer
Review source: G2 invite

Easy Direct Access

I like the fact that you can query directly s3 and hdfs and it also support power bi as integration
Aarti S.
AS
Aarti S.
Data Analyst at Accenture
06/24/2025
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Review for Dremio product

its great experience using Dremio. I have used its sql query engine product. the implementation was very easy and good for freshers and non-tech people. it's not too expensive w.r.t to other platforms. I like the speed. it's quite fast. I like the customer support service.

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HQ Location:
Santa Clara, California

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@dremio

What is Dremio?

Dremio is the pioneer of The Agentic Lakehouse—the only data platform built for agents, managed by agents. Organizations need to transform ideas into actions at unprecedented speed—Dremio delivers this agility by equipping AI agents with federated data access, unstructured data processing, and rich business context through its AI Semantic Layer. In the agentic-era, data engineering teams can’t manually tune performance for thousands of users and agents asking unpredictable questions every second. Dremio’s Agentic Lakehouse autonomously manages itself, removing undifferentiated management tasks, allowing engineers to focus on initiatives that drive business results. Dremio’s agentic lakehouse automatically optimizes queries, reorganizes data, and maintains performance at any scale. Dremio is trusted by thousands of global enterprises including Shell, TD Bank, and Michelin, and built on open standards. Dremio co-created Apache Polaris and Apache Arrow, and it's the only lakehouse built natively on Apache Iceberg, Polaris, and Arrow. 015 and is headquartered in Santa Clara, CA. Investors include Lightspeed Venture Partners, Redpoint, Norwest Venture Partners, Insight Partners and Sapphire Ventures. Connect with Dremio on GitHub, LinkedIn, Twitter, and Facebook.

Details

Year Founded
2015
Website
www.dremio.com