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Databricks vs FICO Decision Management comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 2024

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

Databricks
Ranking in Data Science Platforms
1st
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
93
Ranking in other categories
Cloud Data Warehouse (6th), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
FICO Decision Management
Ranking in Data Science Platforms
27th
Average Rating
9.0
Reviews Sentiment
6.7
Number of Reviews
4
Ranking in other categories
Decision Management Tools (2nd)
 

Mindshare comparison

As of March 2026, in the Data Science Platforms category, the mindshare of Databricks is 9.3%, down from 18.5% compared to the previous year. The mindshare of FICO Decision Management is 1.4%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Databricks9.3%
FICO Decision Management1.4%
Other89.3%
Data Science Platforms
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
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

"Databricks' capability to process data in parallel enhances data processing speed."
"I like cloud scalability and data access for any type of user."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"The tool helps with data processing and analytics with large-scale data or big data since it is associated with managing data at a large scale."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"It can send out large data amounts."
"Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy."
"FICO OM is very flexible in terms of development, with rapid application development options."
 

Cons

"There has been a significant evolution in databases. One area of improvement is the Databricks File System (DBFS), where command-line challenges arise when accessing files."
"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."
"It should have more compatible and more advanced visualization and machine learning libraries."
"Doesn't provide a lot of credits or trial options."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"Databricks has a lack of debuggers, and it would be good to see more components."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"I would like more integration with SQL for using data in different workspaces."
"Customer service is below average."
 

Pricing and Cost Advice

"Price-wise, I would rate Databricks a three out of five."
"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."
"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."
"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
"There are different versions."
"It is an expensive tool. The licensing model is a pay-as-you-go one."
"The basic version of this solution is now open-source, so there are no license costs involved. However, there is a charge for any advanced functionality and this can be quite expensive."
"The solution is a good value for batch processing and huge workloads."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
9%
Computer Software Company
8%
Healthcare Company
6%
Financial Services Firm
33%
Real Estate/Law Firm
8%
Manufacturing Company
8%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise12
Large Enterprise56
No data available
 

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...
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Earn 20 points
 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
No data available
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Aiful, Raiffeisen Bank International AG
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms. Updated: March 2026.
884,933 professionals have used our research since 2012.