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Dremio pros and cons

Vendor: Dremio
4.3 out of 5

Pros & Cons summary

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Prominent pros & cons

PROS

Dremio allows the creation of services without requiring additional resources.
Dremio integrates with various data storages like Amazon S3, Azure Data Factory, SGFS, or Hive.
Dremio enables effective management of changes through data lineage capabilities.
Dremio facilitates querying files on block storage or object storage.
Dremio outperforms Starburst in connecting to new sources due to its SaaS nature.

CONS

Dremio lacks support for Delta connector and writing IT support for it needs improvement.
Dremio takes a long time to execute large, correlated, or nested queries.
Integrating Dremio with Databricks faces authentication challenges.
Recursive Common Table Expressions (CTE) are not supported in Dremio.
Dremio has performance issues due to limited experience and single-node community version use.
 

Dremio Pros review quotes

MikeWalker - PeerSpot reviewer
Mar 16, 2023
Dremio enables you to manage changes more effectively than any other data warehouse platform. There are two things that come into play. One is data lineage. If you are looking at data in Dremio, you may want to know the source and what happened to it along the way or how it may have been transformed in the data pipeline to get to the point where you're consuming it.
Nick Grigoriev - PeerSpot reviewer
Nov 14, 2022
Dremio gives you the ability to create services which do not require additional resources and sterilization.
VA
Aug 14, 2024
Everyone uses Dremio in my company; some use it only for the analytics function.
Learn what your peers think about Dremio. Get advice and tips from experienced pros sharing their opinions. Updated: March 2025.
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KamleshPant - PeerSpot reviewer
Jan 9, 2025
It's almost similar, yet it's better than Starburst in spinning up or connecting to the new source since it's on SaaS.
reviewer2036529 - PeerSpot reviewer
Nov 28, 2022
The most valuable feature of Dremio is it can sit on top of any other data storage, such as Amazon S3, Azure Data Factory, SGFS, or Hive. The memory competition is good. If you are running any kind of materialized view, you'd be running in memory.
Vu Thang - PeerSpot reviewer
Nov 26, 2024
Dremio is very easy to use for building queries.
reviewer2283825 - PeerSpot reviewer
Jan 16, 2024
Dremio allows querying the files I have on my block storage or object storage.
SS
Dec 6, 2023
We primarily use Dremio to create a data framework and a data queue.
 

Dremio Cons review quotes

MikeWalker - PeerSpot reviewer
Mar 16, 2023
They have an automated tool for building SQL queries, so you don't need to know SQL. That interface works, but it could be more efficient in terms of the SQL generated from those things. It's going through some growing pains. There is so much value in tools like these for people with no SQL experience. Over time, Dermio will make these capabilities more accessible to users who aren't database people.
Nick Grigoriev - PeerSpot reviewer
Nov 14, 2022
Dremio doesn't support the Delta connector. Dremio writes the IT support for Delta, but the support isn't great. There is definitely room for improvement.
VA
Aug 14, 2024
It shows errors sometimes.
Learn what your peers think about Dremio. Get advice and tips from experienced pros sharing their opinions. Updated: March 2025.
839,319 professionals have used our research since 2012.
KamleshPant - PeerSpot reviewer
Jan 9, 2025
They need to have multiple connectors.
reviewer2036529 - PeerSpot reviewer
Nov 28, 2022
Dremio takes a long time to execute large queries or the executing of correlated queries or nested queries. Additionally, the solution could improve if we could read data from the streaming pipelines or if it allowed us to create the ETL pipeline directly on top of it, similar to Snowflake.
Vu Thang - PeerSpot reviewer
Nov 26, 2024
There are performance issues at times due to our limited experience with Dremio, and the fact that we are running it on single nodes using a community version.
reviewer2283825 - PeerSpot reviewer
Jan 16, 2024
I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported.
SS
Dec 6, 2023
We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily.