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Dremio vs FICO Decision Management 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:
 

Categories and Ranking

Dremio
Ranking in Data Science Platforms
9th
Average Rating
8.4
Reviews Sentiment
6.5
Number of Reviews
14
Ranking in other categories
Cloud Data Warehouse (10th)
FICO Decision Management
Ranking in Data Science Platforms
26th
Average Rating
9.0
Reviews Sentiment
6.7
Number of Reviews
4
Ranking in other categories
Decision Management Tools (2nd)
 

Mindshare comparison

As of November 2026, in the Data Science Platforms category, the mindshare of Dremio is 2.0%, down from 2.9% compared to the previous year. The mindshare of FICO Decision Management is 1.6%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Dremio2.0%
FICO Decision Management1.6%
Other96.4%
Data Science Platforms
 

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.
it_user147981 - PeerSpot reviewer
Project Manager at a financial services firm with 501-1,000 employees
I would recommend buying this product for loan origination purposes
FICO OM is very flexible in terms of development, with rapid application development options Streamlined loan origination processes. Credit products. Two years. No. No. Below average. Straightforward. Flexible. Yes, we did. I would recommend buying this product for loan origination…

Quotes from Members

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

Pros

"It's almost similar, yet it's better than Starburst in spinning up or connecting to the new source since it's on SaaS."
"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."
"The primary value I find in Dremio is that this tool is mainly used to query data that are split amongst several sources and to virtualize those sources so that the end user faces it as a single source of truth of data."
"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."
"Dremio is very easy to use for building queries."
"The first feature that stands out for me in Dremio is the federated type of query, which allows the possibility to use multiple endpoints without worrying about writing custom SQL that runs only for SQL Server or for Postgres and Redshift."
"Reflections pre-calculate results which are then just delivered instantly, meaning you do not need to wait to run a query for a longer time on huge amounts of data, and the user gets very quick answers."
"Dremio has positively impacted my organization by helping us create a single source of truth, a singular data warehouse where we can have access to all of the data sets."
"FICO OM is very flexible in terms of development, with rapid application development options."
 

Cons

"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."
"We had a memory leak on some versions, which sometimes stopped the service."
"The community version lacks information or documentation."
"Dremio could be improved by making it easier for data cataloging, especially when working with open table formats, as you have to choose a data format and then go into it."
"I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported."
"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."
"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."
"It shows errors sometimes."
"Customer service is below average."
 

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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Outsourcing Company
8%
Comms Service Provider
8%
Manufacturing Company
6%
Financial Services Firm
25%
Comms Service Provider
11%
Outsourcing Company
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise6
Large Enterprise5
No data available
 

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...
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Also Known As

Dremio AWS - BYOL
No data available
 

Overview

 

Sample Customers

UBS, TransUnion, Quantium, Daimler, OVH
Aiful, Raiffeisen Bank International AG
Find out what your peers are saying about Databricks, Dataiku, Knime and others in Data Science Platforms. Updated: October 2026.
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