No more typing reviews! Try our Samantha, our new voice AI agent.

Dremio vs Oracle Autonomous Data Warehouse comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 15, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Dremio
Ranking in Cloud Data Warehouse
7th
Average Rating
8.4
Reviews Sentiment
6.6
Number of Reviews
11
Ranking in other categories
Data Science Platforms (10th)
Oracle Autonomous Data Ware...
Ranking in Cloud Data Warehouse
14th
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
19
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2026, in the Cloud Data Warehouse category, the mindshare of Dremio is 5.5%, down from 10.8% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 5.3%, up from 4.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Dremio5.5%
Oracle Autonomous Data Warehouse5.3%
Other89.2%
Cloud Data Warehouse
 

Featured Reviews

Corrr Moray - PeerSpot reviewer
SR BI developer at BRQ Digital Solutions
Has simplified complex data integration workflows and supported consistent reporting across multiple sources
We also have a close relationship with the team that does the Dremio maintenance for the database, like upgrading the versions and they know about some specific problems we had in the past, such as a memory leak. We had a memory leak on some versions, which sometimes stopped the service. Since we are using Dremio installed like a server, not a SaaS solution, many times we need to stop and restart the service to clear all the cache and all that, and this is the thing I should add. I see that many times the new versions of Dremio have not fixed old bugs, and in some new versions, old problems that were previously fixed come back again, so I think the upgrade part could use improvement. I remember using some features in the past, like pivot tables, which proved to be really difficult, but I know this is a fault also for other vendors. Pivoting, transposing, and unpivoting are often not so good. CTEs also many times prove to be not so good, so I think these two main items could be improved significantly if they standardize them.
Kwajah Mohiuddin - PeerSpot reviewer
Global Head of Architecture at a financial services firm with 1,001-5,000 employees
Provides self-repair features, but the setup is complex
We use the product for online applications. We use it in the financial industry The product has self-repair features. The tool tunes itself. It separates compute from storage. We can scale storage and compute separately. The setup is complex. Oracle is a complex tool. I have been using Oracle…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Dremio is very easy to use for building queries."
"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."
"Dremio allows querying the files I have on my block storage or object storage."
"Dremio has positively impacted my organization as nowadays we are connected to multiple databases from multiple environments, multiple APIs, and applications, and Dremio organizes everything in an amazing way for me."
"The native error interface has been most valuable."
"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."
"Everyone uses Dremio in my company; some use it only for the analytics function."
"Overall, you can rate it as eight out of ten."
"A very good integration feature that restricts access to unauthorized people."
"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."
"The performance and scalability are awesome."
"The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle."
"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."
"One advantage is that if you already have an Oracle Database, it easily integrates with that."
"Self-patching and runs machine-learning across its logs all the time"
"The solution integrates well with Power BI."
 

Cons

"We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily."
"They need to have multiple connectors."
"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."
"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."
"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."
"They need to have multiple connectors. Starburst is rich in connectors, however, they are lacking Salesforce connectivity as of today."
"We had a memory leak on some versions, which sometimes stopped the service."
"Many developers and programmers, when they are starting to work in this specific field or area, are much more used to SQL Server, the Microsoft way of querying, and Dremio has some features that are different when we are talking about the syntax of coding, so I would improve that."
"Ease of connectivity could be improved."
"I would like to see an on-premise solution in the future."
"It is good as data warehouses go, but it is not that good for really big data."
"Optimization should be better."
"It doesn't work well when you have unstructured data or you need online analytics. It is not as nice as Hadoop in these aspects."
"I would like to see an on-premise solution in the future."
"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."
"One of the major problem is creating custom tablespace."
 

Pricing and Cost Advice

"Dremio is less costly competitively to Snowflake or any other tool."
"Right now the cluster costs approximately $200,000 per month and is based on the volume of data we have."
"In terms of architecture and pricing structure, I feel it is a little bit costly compared to Azure. It's fine compared to RedShift, but compared to Azure, it's a bit pricey when you calculate for one TB storage plus around five hours of reporting with the frequency of 1TB data. The cost adds up, making Oracle a bit expensive."
"The cost is perfect with Oracle Universal credit."
"The licensing cost of the product can vary since you can integrate it very easily with other products or other cloud products...You pay as you use it, so it is not yearly or monthly payments to be made toward Oracle."
"You pay as you go, and you don't pay for services that you don't use."
"Oracle Autonomous Data Warehouse's pricing is fair and reasonable compared to the other cloud vendors."
"The price depends on the configuration we choose."
"We pay approximately $70,000 per month. The cost includes maintenance and support."
"On a scale from one to ten, where one is a low price and ten is a high price, I rate the pricing an eight."
report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
886,664 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
25%
Computer Software Company
9%
Healthcare Company
6%
Manufacturing Company
6%
Manufacturing Company
9%
Media Company
8%
Financial Services Firm
7%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise5
Large Enterprise5
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise11
 

Questions from the Community

What is your experience regarding pricing and costs for Dremio?
I don't have information about pricing, setup cost, and licensing for Dremio, so I am not entitled to discuss it.
What needs improvement with Dremio?
I wouldn't say there is anything Dremio can be improved on. If I could change something, I would say many developers and programmers, when they are starting to work in this specific field or area, ...
What is your primary use case for Dremio?
I have been using Dremio for a year and a half. My main use case for Dremio is that I am able to access multiple databases and I can easily and quickly connect Dremio with my dashboards. In my rece...
What is your experience regarding pricing and costs for Oracle Autonomous Data Warehouse?
We pay approximately $70,000 per month. The cost includes maintenance and support.
What needs improvement with Oracle Autonomous Data Warehouse?
Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not supported, which is not ideal.
What is your primary use case for Oracle Autonomous Data Warehouse?
We are using Oracle Autonomous Data Warehouse for analytics in my company.
 

Also Known As

Dremio AWS - BYOL
No data available
 

Overview

 

Sample Customers

UBS, TransUnion, Quantium, Daimler, OVH
Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank
Find out what your peers are saying about Dremio vs. Oracle Autonomous Data Warehouse and other solutions. Updated: April 2026.
886,664 professionals have used our research since 2012.