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Dremio vs Snowflake Analytics comparison

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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:
 

ROI

Sentiment score
4.0
Dremio offers cost savings and efficiency by reducing infrastructure needs and simplifying data source integration on data lakes.
Sentiment score
5.6
Users experience mixed ROI with Snowflake; it often improves operational efficiency, time savings, and cost control.
Dremio surely saves time, reduces costs, and all those things because we don't have to worry so much about the infrastructure to make the different tools communicate.
SR BI developer at BRQ Digital Solutions
Snowflake Analytics has positively impacted our organization by saving about eight to ten hours per week, which we can use for advanced analytics and automation tasks.
Data Engineer at a tech vendor with 10,001+ employees
 

Customer Service

Sentiment score
6.1
Dremio's customer service is highly praised for responsiveness, with Gold plan users enjoying positive interactions despite some limitations.
Sentiment score
6.9
Snowflake Analytics support is often responsive and competent, but accessibility issues exist for non-major partners, despite strong community resources.
I would rate customer support a ten out of ten.
We contact the technical support at least weekly; currently, it's more or less daily because we face performance issues, crashes of queries sometimes, and we also need support for configuration of the query engines and so on.
Data Architect at a consultancy with 51-200 employees
We have had to reach out for customer support many times, and they respond, so they are pretty supportive about some long-term issues.
SR BI developer at BRQ Digital Solutions
The Snowflake Analytics documentation is excellent.
Lead Analytics Consultant at a outsourcing company with 51-200 employees
Recently we had a two-day session where the Snowflake Analytics team provided a demo on Cortex AI and its features.
Associate Principal Engineer at Nagarro
The technical support for Snowflake Analytics is excellent based on what I have heard from others.
Data Governance Architect at Sterlite Technologies Ltd
 

Scalability Issues

Sentiment score
7.3
Dremio's scalability excels, with user-configurable auto-scaling on Kubernetes/Docker, meeting large-scale needs, but some features require licensing.
Sentiment score
7.7
Snowflake Analytics offers exceptional scalability through auto-scaling, cloud integration, and efficient resource management, ideal for handling large data volumes.
Dremio's scalability can handle growing data and user demands easily.
SR BI developer at BRQ Digital Solutions
Internally, if it's on Docker or Kubernetes, scalability will be built into the system.
Senior Software Architect at USEReady
Dremio's scalability depends on your hardware and your deployment.
Storage is unlimited because they use S3 if it is AWS, so storage has no limit.
Senior Software Architect at USEReady
It supports both horizontal and vertical scaling effectively.
Data Governance Architect at Sterlite Technologies Ltd
Maintaining security and data governance becomes easier with an entire data lake in place, and the scalability improves performance.
Associate Principal Engineer at Nagarro
 

Stability Issues

Sentiment score
7.2
Dremio users report stable performance overall, despite occasional memory leaks, scalability issues, and the need for frequent monitoring.
Sentiment score
8.4
Snowflake Analytics is highly stable, supported by major cloud providers, with strong performance and minimal technical issues reported.
I rate Dremio a nine in terms of stability.
SR BI developer at BRQ Digital Solutions
We refactored the query, and that worked, but it still doesn't make you confident to go to production with a product that might crash depending on the query you send it.
Data Architect at a consultancy with 51-200 employees
Snowflake Analytics has been stable and reliable in my experience.
Associate Principal Engineer at Nagarro
Snowflake Analytics is very stable; I have never experienced any crash downs or server issues.
Data Engineer at a tech vendor with 10,001+ employees
Snowflake Analytics is stable, scoring around eight point five to nine out of ten.
Data Governance Architect at Sterlite Technologies Ltd
 

Room For Improvement

Dremio users face issues with performance, connectors, learning curve, and desire better integration and schema flexibility.
Snowflake Analytics struggles with data migration, integration, performance, cost issues, and needs better UI, job scheduling, and AWS support.
Starburst comes with around 50 connectors now.
Senior Software Architect at USEReady
Before we wrap up, I want to add that Dremio is lacking a semantic layer in a manner that the user can just choose dimensions, metrics, and filters to query the data.
It should be easier to get Arctic or an open-source version of Arctic onto the software version so that development teams can experiment with it.
Data Consultant at a comms service provider with 201-500 employees
AIML-based SQL prompt and query generation could be an area for enhancement.
Senior Software Architect at USEReady
If it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it would be even better.
Data Governance Architect at Sterlite Technologies Ltd
I would prefer Snowflake Analytics to improve their support response times, as sometimes the responses we receive are not very prompt and ticket assignments may not be timely.
Associate Principal Engineer at Nagarro
 

Setup Cost

Dremio offers cost-effectiveness but licensing is costly, leading some users to prefer the community version for scalability.
Snowflake Analytics uses a pay-as-you-go model, emphasizing strategic design to manage costs, often seen as competitively priced.
I chose eight out of ten because Dremio is expensive for the Enterprise version, particularly regarding licensing.
Data Engineer at a tech services company with 201-500 employees
I had a good experience with pricing, as the pricing seems okay to me and the client.
Dremio does have a core of the engine that is open-source, but all the important features for the enterprise version are under license.
Data Architect at a consultancy with 51-200 employees
Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query.
BI Developer at DivVerse LLC
Snowflake is better and cheaper than Redshift and other cloud warehousing systems.
Senior Software Architect at USEReady
Snowflake Analytics is quite economical.
Data Governance Architect at Sterlite Technologies Ltd
 

Valuable Features

Dremio excels in data virtualization, federated queries, and integration, enhancing data management and access with efficient tools.
Snowflake Analytics provides scalable, secure, and user-friendly analytics with cloud integration, supporting diverse data needs and flexible data sharing.
Having everything under one system and an easier-to-work-with interface, along with having API integrations, adds significant value to working with Dremio.
Data Consultant at a comms service provider with 201-500 employees
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.
Data Analyst at a insurance company with 501-1,000 employees
Multiple data sources can be queried in one query, and it is not just a query engine.
Data Engineer at a tech services company with 201-500 employees
Running a considerable query on Microsoft SQL Server may take up to thirty minutes or an hour, while Snowflake executes the same query in less than three minutes.
BI Developer at DivVerse LLC
Snowflake Analytics supports data security with a single sign-on feature and complies with framework regulations, which is highly beneficial.
Data Governance Architect at Sterlite Technologies Ltd
Previously, we faced issues with slow queries due to traditional systems, but within Snowflake, we can assign separate virtual warehouses for reporting as well as data processing, ensuring that it does not impact tool performance and does not delay reporting to business users.
Data Engineer at a tech vendor with 10,001+ employees
 

Categories and Ranking

Dremio
Ranking in Cloud Data Warehouse
10th
Average Rating
8.4
Reviews Sentiment
6.5
Number of Reviews
14
Ranking in other categories
Data Science Platforms (9th)
Snowflake Analytics
Ranking in Cloud Data Warehouse
11th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
44
Ranking in other categories
Web Analytics (6th)
 

Mindshare comparison

As of November 2026, in the Cloud Data Warehouse category, the mindshare of Dremio is 4.3%, down from 7.8% compared to the previous year. The mindshare of Snowflake Analytics is 3.6%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Dremio4.3%
Snowflake Analytics3.6%
Other92.1%
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.
Hemanthreddy Vakiti - PeerSpot reviewer
Data Engineer at a tech vendor with 10,001+ employees
Daily restaurant dashboards have become faster and now support simultaneous team analytics
Some of the best features of Snowflake Analytics is how it is separated for compute and storage, which allows multiple teams to run queries without performance impact. Our project has more than nine or ten teams, so if a team is working on a particular dashboard and another team wants to work on Snowflake Analytics, they can easily work on it without disturbing the work of one team, ensuring that the work can be consistent and multiple users can use the tool simultaneously. This is one of the main features I appreciate about Snowflake Analytics.The other aspect is how the query performance is high due to its columnar storage and also automatic optimization, allowing for scaling down during weekdays when there is less data and scaling up during weekends or festivals when the data can be huge. Because of this automatic scaling, if there is less data, we are using only 5 GB instead of 10 GB, which reduces the storage level, and consequently, the cost can be reduced. This automatic scaling and optimization saves us a huge amount of money for our project. Snowflake Analytics has impacted our organization positively by providing faster query performance and better scalability. Previously, we faced issues with slow queries due to traditional systems, but within Snowflake, we can assign separate virtual warehouses for reporting as well as data processing, ensuring that it does not impact tool performance and does not delay reporting to business users. Analysts can run complex queries without affecting ETL workloads due to this separation, which has improved our speed of reporting, and our business users have expressed happiness due to how fast we are generating reports during peak hours.
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Outsourcing Company
8%
Comms Service Provider
8%
Manufacturing Company
6%
Construction Company
16%
Outsourcing Company
14%
Financial Services Firm
11%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise6
Large Enterprise5
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise13
Large Enterprise23
 

Questions from the Community

What is your experience regarding pricing and costs for Dremio?
I chose eight out of ten because Dremio is expensive for the Enterprise version, particularly regarding licensing.
What needs improvement with Dremio?
I think Dremio can be improved to query faster than multiple sources and big data lakehouses. The community version could be updated for new data catalog connections. I think the documentation is s...
What is your primary use case for Dremio?
I have been using Dremio to select multiple data sources, retrieve multiple data sources, and create and maintain Iceberg tables for the data lakehouse. My main use case for Dremio is to actively c...
What is your experience regarding pricing and costs for Snowflake Analytics?
The pricing for Snowflake Analytics is reasonable, but as I am not part of the management team, I am not certain about our organization's exact costs. Overall, the return on investment for this too...
What needs improvement with Snowflake Analytics?
One improvement Snowflake Analytics could benefit from is in cost, particularly during peak hours. Sometimes, due to its automatic scalability, we think it has scaled up, but it does not always hap...
What is your primary use case for Snowflake Analytics?
I am using Snowflake Analytics because we are already using Snowflake for data engineering and data warehousing tasks, and we are using it for analytics as well as business intelligence reporting. ...
 

Comparisons

 

Also Known As

Dremio AWS - BYOL
No data available
 

Overview

 

Sample Customers

UBS, TransUnion, Quantium, Daimler, OVH
Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
Find out what your peers are saying about Dremio vs. Snowflake Analytics and other solutions. Updated: September 2026.
920,769 professionals have used our research since 2012.