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Databricks vs IBM Db2 Warehouse on Cloud 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
Ranking in Cloud Data Warehouse
9th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
93
Ranking in other categories
Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
IBM Db2 Warehouse on Cloud
Ranking in Cloud Data Warehouse
15th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Cloud Data Warehouse category, the mindshare of Databricks is 10.0%, up from 7.2% compared to the previous year. The mindshare of IBM Db2 Warehouse on Cloud is 1.8%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Databricks10.0%
IBM Db2 Warehouse on Cloud1.8%
Other88.2%
Cloud Data Warehouse
 

Featured Reviews

Satyam Wagh - PeerSpot reviewer
Consultant at Nice Software Solutions
Unified data workflows have cut ticket processing times and are driving faster business insights
Databricks already provides monthly updates and continuously works on delivering new features while enhancing existing ones. However, the platform could become easier to use. While instruction-led workshops are available, offering more free instructional workshops would allow a wider audience to access and learn about Databricks. Additionally, providing use cases would help beginners gain more knowledge and hands-on experience. Regarding my experience, I was initially unfamiliar with the platform and had to conduct research and learn through various videos. I did find some instruction-led classes, but several of those required payment. The platform should provide more free resources to enable a broader audience to access and learn about Databricks. The platform itself is user-friendly and easy to use without complex issues, so I believe it does not need improvement in its core functionality. Rather, supporting aspects can be enhanced.
FM
Database Engineer at Meezan Bank
Enhancing analytics with seamless data dumping and reliable support
Our primary use case is data storage and analytics The organization has decided to purchase a full stack solution from IBM due to positive responses, which helped them upgrade from the previous version. The data dumping into the raw zone and the feature of BigQuery is quite attractive. There…

Quotes from Members

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

Pros

"The solution is very easy to use."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."
"Databricks is a robust solution for big data processing, offering flexibility and powerful features."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"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."
"It's very simple to use Databricks Apache Spark."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"It is stable when there is support from IBM."
"It will be MPP, so performance should improve."
"The performance is okay as long as the volume of queries is not too high."
"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger.​"
 

Cons

"It's not easy to use, and they need a better UI."
"The solution has some scalability and integration limitations when consolidating legacy systems."
"Would be helpful to have additional licensing options."
"The API deployment and model deployment are not easy on the Databricks side."
"The initial setup is difficult."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"The product cannot be integrated with a popular coding IDE."
"There is room for improvement in the documentation of processes and how it works."
"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."
"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."
"There are some limitations in adding data files to table spaces, and improvements are needed for regional support."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"Right now, we are implementing on ESX VMware 6.0. Support for this platform is poor. Also, one of the backup/recovery options is broken and IBM is not addressing the issue."
 

Pricing and Cost Advice

"My smallest project is around a hundred euros, and my most expensive is just under a thousand euros a week. That is based on terabytes of data processed each month."
"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"We're charged on what the data throughput is and also what the compute time is."
"I'm not involved in the financing, but I can say that the solution seemed reasonably priced compared to the competitors. Similar products are usually in the same price range. With five being affordable and one being expensive, I would rate Databricks a four out of five."
"Price-wise, I would rate Databricks a three out of five."
"The solution is a good value for batch processing and huge workloads."
"The cost is around $600,000 for 50 users."
"I would rate the tool’s pricing an eight out of ten."
"If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
8%
Healthcare Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise12
Large Enterprise56
By reviewers
Company SizeCount
Small Business4
Large Enterprise3
 

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 advice do you have for others considering IBM Db2 Warehouse on Cloud?
Organizations of all sizes, especially those who are in need of powerful and elastic cloud data warehouse solutions that can help administrators maximize the efficiency of their data-based operatio...
What needs improvement with IBM Db2 Warehouse on Cloud?
There are some limitations in adding data files to table spaces, and improvements are needed for regional support.
What is your primary use case for IBM Db2 Warehouse on Cloud?
Our primary use case is data storage and analytics.
 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
IBM dashDB
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Copenhagen Business School, BPM Northwest, GameStop
Find out what your peers are saying about Databricks vs. IBM Db2 Warehouse on Cloud and other solutions. Updated: January 2026.
881,707 professionals have used our research since 2012.