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Dremio - Big Data Processing and Distribution Software

Dremio Reviews in January 2025: User Ratings, Pros & Cons

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4.7

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Dremio Reviews & Ratings

4.7

Excellent

Based on 39 ratings & 42 reviews

Rating Distribution

Excellent

(33)

Very Good

(9)

Good

(0)

Poor

(0)

Terible

(0)

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Showing 21-30 out of 42

AU

Anonymous User

04/02/21

4.5 out of 5

"Accelerating Client Resiliency through enabling data driven insights"

What do you like best about Dremio? Intuitive, effective and transformative. Dremio enables us to provide quicker time to insights for our clients and internal uses. The tool is very user friendly. Their support team is awesome and always super helpful as well. Personal experience through the Dremio Support and Sales teams and open to feedback. The tool supports alot of downstream connections and usage through its API and JDBC/ODBC connection which we use to visualize and present insights ...

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GS

Gurdeep S

12/04/20

4 out of 5

"Data Lake Adoption"

What do you like best about Dremio? Enabling interactive speed queries on Hadoop What do you dislike about Dremio?

AU

Anonymous User

11/30/20

5 out of 5

"User friendly self servicing Data lake engine"

What do you like best about Dremio? Dremio help us to transition from legacy to target state data lake architecture. it offers connectivity to both legacy data sources and modernised cloud native data lake on object storage. This allows us to produce insights across our whole data landscape since day 1 and plan out transition from legacy over time.

BK

Bert K

11/30/20

4 out of 5

"A virtual integration environment to allow data analyzing on a higher and faster level"

What do you like best about Dremio? Easy to use, SQL based, No data movement, optimizing and integrate queries and/or the use of reflections for a high analyzing performance

DE

Daniel E

11/26/20

5 out of 5

"With Dremio and Power BI combined, a data-driven culture can be established, on all data. (Gemany)"

What do you like best about Dremio? Dremio managed to provide a wide range of existing analysis tools with universal, fast and direct access to the data in a data lake. The time required to provide data and the IT footprint is reduced to a minimum. Intelligent options for caching query results and entire aggregates in memory for specific analysis scenarios makes working with these two tools a pleasure.

AU

Anonymous User

11/26/20

5 out of 5

"Dremio is helping us democratize data and deliver analytical solutions far quicker than normal."

What do you like best about Dremio? The product is great but for me its the people. Committed to our success, easy to work with, friendly and professional. From the beginning, we had positive interactions with Dremio and that didn't change after we became a customer. Dremio is a great partner for our company.

HB

Hugh B

11/26/20

4.5 out of 5

"Great product and excellent support"

What do you like best about Dremio? -Convenient web interface for running SQL queries on our data -Supports a broad range of data source

MB

Matthew B

11/25/20

5 out of 5

"An effective tool, with great enterprise support."

What do you like best about Dremio? * Integrates nicely with AWS. supports s3 buckets and aws hosted databases as data sources, as well as being able to use aws glue as a metastore.

RP

Renan P

11/25/20

5 out of 5

"Innovative and fast growing solution"

What do you like best about Dremio? Dremio is a powerful solution to connect your applications and BI tools to your data lake. They are very innovative and fast-paced to deliver new features and enhancements. The professional support team is very helpful and tries to understand the customer needs to deliver the best value. The variety of connectors available for the different data sources is really amazing as well the possibility to easily create custom connectors. The fact that the company ...

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RR

Ricardo R

11/25/20

4.5 out of 5

"Dremio for Pon Equipment Pon Power, The Netherlands"

What do you like best about Dremio? The ease of use. We all know SQL and that is very flexible. No coding promises great things, but never deliver and complex development is taking a huge amount of time. Everybody understanding SQL should not go to No-Coding for speed, flexibility and (future) migration.