Dremio vs SAS Enterprise Miner comparison

Dremio and SAS are both solutions in the Data Science Platforms category. Dremio is ranked #11 with an average rating of 8.7, while SAS is ranked #23. Dremio holds a 2.3% mindshare in Data Science Platforms, compared to SAS’s 1.6% mindshare. Additionally, 100% of Dremio users are willing to recommend the solution, compared to 93% of SAS users who would recommend it.

Dremio

Read 11 Dremio reviews

3,361 Views
1,983 Comparison Views

100% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

1,059 Views
805 Comparison Views

93% willing to recommend

Dremio

SAS Enterprise Miner

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 9, 2025

SAS Enterprise Miner and Dremio are key players in the data mining and analytics sector. Each offers unique advantages: SAS Enterprise Miner is favored for comprehensive data manipulation, while Dremio shines in performance acceleration and business agility, presenting itself as the go-to option for innovation-led features.

Features: SAS Enterprise Miner supports advanced data mining with options like predictive analytics, text analytics, and machine learning, offering a robust toolset for data manipulation. Dremio stands out with its data virtualization technology, significantly enhancing data querying without the need for data movement, thus increasing query speed and efficiency. Additionally, Dremio's ability to virtualize data makes it particularly advantageous for innovative data accessibility solutions.

Room for Improvement: SAS Enterprise Miner could improve by streamlining its deployment process to reduce setup complexity and time. Enhanced integration with third-party technologies could further boost its appeal. Users may also appreciate a more modernized interface. Dremio might enhance its support for larger datasets as industries trend towards more extensive data needs. Improving documentation could aid in optimizing user experience. Ensuring seamless integration with legacy systems might further extend its practical applications.

Ease of Deployment and Customer Service: SAS Enterprise Miner has a thorough deployment process often requiring detailed setup, bolstered by extensive documentation and professional support. Dremio contrasts with its self-service model, allowing more rapid deployments, emphasizing simplicity and adjusted speed, plus empowering customers with agile support.

Pricing and ROI: SAS Enterprise Miner involves higher upfront costs due to its comprehensive feature offerings, promising substantial returns on investment for in-depth data analytics. Dremio, however, presents more cost-effective, scalable pricing options, which appeals to businesses focused on flexibility and agile data solutions. The primary distinction is SAS's focus on deep-rooted analytics against Dremio's cost-efficiency in scaling data management efforts.

To learn more, read our detailed Dremio vs. SAS Enterprise Miner Report (Updated: December 2025).

Buyer's Guide

Dremio vs. SAS Enterprise Miner

December 2025

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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 Data Science Platforms

11th

Average Rating

8.4

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (5th)

SAS Enterprise Miner

Ranking in Data Science Platforms

23rd

Average Rating

7.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Data Mining (7th)

Mindshare comparison

As of January 2026, in the Data Science Platforms category, the mindshare of Dremio is 2.3%, down from 4.2% compared to the previous year. The mindshare of SAS Enterprise Miner is 1.6%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
Dremio	2.3%
SAS Enterprise Miner	1.6%
Other	96.1%

Data Science Platforms

Featured Reviews

Corrr Moray

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.

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reviewer1352853

Executive Head of analytics at a retailer with 5,001-10,000 employees

A stable product that is easy to deploy and can be used for structured and unstructured data mining

We use the solution for predictive analytics to do structured and unstructured data mining I like the way the product visually shows the data pipeline. The product must provide better integration with cloud-native technologies. I have been using the solution for 20 years. The product is very…

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Quotes from Members

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

Pros

"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."

"We primarily use Dremio to create a data framework and a data queue."

"Dremio gives you the ability to create services which do not require additional resources and sterilization."

"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."

"Dremio allows querying the files I have on my block storage or object storage."

"It's almost similar, yet it's better than Starburst in spinning up or connecting to the new source since it's on SaaS."

"Overall, you can rate it as eight out of ten."

"Everyone uses Dremio in my company; some use it only for the analytics function."

More Dremio pros

"The solution is able to handle quite large amounts of data beautifully."

"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."

"I like the way the product visually shows the data pipeline."

"he solution is scalable."

"The setup is straightforward. Deployment doesn't take more than 30 minutes."

"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."

"The technical support is very good."

"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."

More SAS Enterprise Miner pros

Cons

"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 need to have multiple connectors."

"We had a memory leak on some versions, which sometimes stopped the service."

"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."

"It shows errors sometimes."

"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."

"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."

"We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily."

More Dremio cons

"Virtualization could be much better."

"The ease of use can be improved. When you are new it seems a bit complex."

"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."

"The initial setup is challenging if doing it for the first time."

"Technical support could be improved."

"The user interface of the solution needs improvement. It needs to be more visual."

"The solution is much more complex than other options."

"The product must provide better integration with cloud-native technologies."

More SAS Enterprise Miner cons

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."

"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."

"This solution is for large corporations because not everybody can afford it."

"The solution must improve its licensing models."

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Top Industries

By visitors reading reviews

Financial Services Firm

28%

Computer Software Company

Manufacturing Company

Healthcare Company

Financial Services Firm

25%

Educational Organization

11%

Manufacturing Company

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	5
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	4
Large Enterprise	7

Questions from the Community

What do you like most about Dremio?

Dremio allows querying the files I have on my block storage or object storage.

See all answers

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.

See all answers

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, ...

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Comparisons

Databricks vs Dremio

Compared 33% of the time

Snowflake vs Dremio

Compared 14% of the time

Starburst Enterprise vs Dremio

Compared 6% of the time

Dataiku vs Dremio

Compared 6% of the time

Amazon SageMaker vs Dremio

Compared 5% of the time

More Dremio Competitors

KNIME Business Hub vs SAS Enterprise Miner

Compared 19% of the time

Altair RapidMiner vs SAS Enterprise Miner

Compared 12% of the time

SAS Visual Analytics vs SAS Enterprise Miner

Compared 8% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 8% of the time

Databricks vs SAS Enterprise Miner

Compared 8% of the time

More SAS Enterprise Miner Competitors

Product Reports

Buyer's Guide

Dremio

January 2026

Download Dremio product report

Buyer's Guide

Data Mining

January 2026

Download SAS Enterprise Miner product report

Also Known As

Dremio AWS - BYOL

Enterprise Miner

Overview

Dremio offers a comprehensive platform for data warehousing and data engineering, integrating seamlessly with data storage systems like Amazon S3 and Azure. Its main features include scalability, query federation, and data reflection.

Dremio's core strength lies in its ability to function as a robust data lake query engine and data warehousing solution. It facilitates the creation of complex queries with ease, thanks to its support for Apache Airflow and query federation across endpoints. Despite challenges with Delta connector support, complex query execution, and expensive licensing, users find it valuable for managing ad-hoc queries and financial data analytics. The platform aids in SQL table management and BI traffic visualization while reducing storage costs and resolving storage conflicts typical in traditional data warehouses.

What are Dremio's most valuable features?

Native Error Interfaces: Simplifies error detection and troubleshooting
Integration with Apache Airflow: Enhances workflow automation capabilities
Scalability: Effortlessly handles growing data demands
Role-Based Access Management: Provides secure data access control
Data Reflection: Optimizes query performance automatically
Query Federation: Supports queries across multiple endpoints seamlessly
Data Cataloging and Virtualization: Offers streamlined data organization

What benefits and ROI should users look for?

Reduced Data Storage Costs: Efficiently manages data to minimize storage expenses
Improved Query Performance: Enhances processing speed for large datasets
Flexibility in Integration: Easily connects with storage solutions like Oracle and MySQL
Enhanced Data Management: Supports comprehensive data analysis workflows

Dremio is primarily implemented in industries requiring extensive data engineering and analytics, including finance and technology. Companies use it for constructing data frameworks, efficiently processing financial analytics, and visualizing BI traffic. It acts as a viable alternative to AWS Glue and Apache Hive, integrating seamlessly with multiple databases, including Oracle and MySQL, offering robust solutions for data-driven strategies. Despite some challenges, its ability to reduce data storage costs and manage complex queries makes it a favorable choice among enterprise users.

Dremio

SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.

SAS

Sample Customers

UBS, TransUnion, Quantium, Daimler, OVH

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare

Buyer's Guide

Dremio vs. SAS Enterprise Miner

December 2025

Free Report: Dremio vs. SAS Enterprise Miner

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