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Databricks vs IBM Db2 Warehouse comparison

 

Comparison Buyer's Guide

Executive Summary

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
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
93
Ranking in other categories
Cloud Data Warehouse (6th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
IBM Db2 Warehouse
Average Rating
7.8
Reviews Sentiment
6.1
Number of Reviews
12
Ranking in other categories
Data Warehouse (11th)
 

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.
Sherpard  Muzuva - PeerSpot reviewer
Senior Technical Manager- IBM Enterprise Systems at SYSTEMS INTEGRATED LTD (SYMPHONY)
Advanced features enhance business intelligence, but complex management calls for improved user guidance
While my experience with IBM Db2 Warehouse is somewhat limited, when compared to other databases such as Oracle, there are areas for improvement. They need to enhance the database to make it more user-friendly and easier to master. They should implement a more comprehensive graphical user interface with additional features. For instance, when users encounter problems, the system should provide better guidelines and troubleshooting directions, except for hardware-related issues. They need to implement tools that would help users perform basic troubleshooting rather than solely relying on support. Other databases have features where users can investigate specific issues using error codes. From my experience, many minor issues could be resolved before escalating to support.

Quotes from Members

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

Pros

"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"The setup was straightforward."
"Automation with Databricks is very easy when using the API."
"The initial setup is pretty easy."
"Easy to use and requires minimal coding and customizations."
"I work in the data science field and I found Databricks to be very useful."
"Databricks helps crunch petabytes of data in a very short period of time."
"Databricks is a truly essential platform for data engineering needs, and I recommend it to anyone looking to advance in the data engineering field."
"The solution is stable."
"It's easy and practical to use."
"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."
"IBM Db2 Warehouse is more resilient when dealing with business intelligence applications."
"Some of the best features are stored procedures, parallelism, and different indexing strategies."
"It can scale effectively as long as resources are available."
"The most valuable features of IBM Db2 Warehouse include its availability, easy integration, ability to deal with a large size of data, excellent performance with no delays, powerful security mechanisms, and effective support."
"Provides good security and reliability."
 

Cons

"Implementation of Databricks is still very code heavy."
"Databricks could improve in some of its functionality."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"There is room for improvement in the documentation of processes and how it works."
"The API deployment and model deployment are not easy on the Databricks side."
"The Databricks cluster can be improved."
"Anyone who doesn't know SQL may find the product difficult to work with."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
"The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting."
"The primary challenges customers face with IBM Db2 Warehouse are related to its complexity in usage. It requires highly skilled professionals who understand Db2, and both training and support are challenging to obtain."
"Lacks sufficient documentation and particularly in Spanish."
"It takes a long time to have a new version or release, similar to Oracle."
"In terms of improvement, IBM Db2 Warehouse should be more scalable."
"Responding to support tickets takes a lot of time. It can range from two to four days, even for critical issues."
"There were some initial challenges with IBM Db2 Warehouse about eight months ago when I worked in this environment. When I coordinated with IBM support, they mentioned that the memory was insufficient for our needs. Our business environment required significantly more memory than the previous cluster could provide. Consequently, we have worked closely with on-site IBM technical personnel to address this issue."
"There should be more material available for training and training should be free."
 

Pricing and Cost Advice

"I rate the price of Databricks as eight out of ten."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
"We have only incurred the cost of our AWS cloud services. This is because during this period, Databricks provided us with an extended evaluation period, and we have not spent much money yet. We are just starting to incur costs this month, I will know more later on the full cost perspective."
"The cost is around $600,000 for 50 users."
"The price is okay. It's competitive."
"We pay as we go, so there isn't a fixed price. It's charged by the unit. I don't have any details detail about how they measure this, but it should be a mix between processing and quantity of data handled. We run a simulation based on our use cases, which gives us an estimate. We've been monitoring this, and the costs have met our expectations."
"The solution requires a subscription."
"I would rate the tool’s pricing an eight out of ten."
"In a traditional on-prem database, in a data warehouse, the solution is probably on the expensive side."
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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
26%
Manufacturing Company
9%
Government
7%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise12
Large Enterprise56
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise3
Large Enterprise5
 

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...
What is your experience regarding pricing and costs for IBM Db2 Warehouse?
The pricing for medium and large environments is almost the same as Oracle. I rate the pricing as six out of ten.
What needs improvement with IBM Db2 Warehouse?
While my experience with IBM Db2 Warehouse is somewhat limited, when compared to other databases such as Oracle, there are areas for improvement. They need to enhance the database to make it more u...
What is your primary use case for IBM Db2 Warehouse?
The main advantages of IBM Db2 Warehouse become apparent when dealing with business intelligence applications. I worked with it when it was installed for one of our customers, a utilities company, ...
 

Comparisons

 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
InfoSphere Warehouse, IBM InfoSphere Warehouse
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Alameda County Social Services Agency, Sui Southern Gas Company Limited
Find out what your peers are saying about Databricks vs. IBM Db2 Warehouse and other solutions. Updated: March 2026.
884,933 professionals have used our research since 2012.