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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
91
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 January 2026, in the Cloud Data Warehouse category, the mindshare of Databricks is 9.2%, up from 6.7% compared to the previous year. The mindshare of IBM Db2 Warehouse on Cloud is 1.6%, 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 (%)
Databricks9.2%
IBM Db2 Warehouse on Cloud1.6%
Other89.2%
Cloud Data Warehouse
 

Featured Reviews

ShubhamSharma7 - PeerSpot reviewer
Data Engineer at a engineering company with 1,001-5,000 employees
Capability to integrate diverse coding languages in a single notebook greatly enhances workflow
Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.
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

"Databricks has helped us have a good presence in data."
"I work in the data science field and I found Databricks to be very useful."
"It's easy to increase performance as required."
"It's great technology."
"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"The performance is okay as long as the volume of queries is not too high."
"It will be MPP, so performance should improve."
"It is stable when there is support from IBM."
"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger.​"
 

Cons

"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."
"As a data engineer, I see cluster failure in our Databricks user databases as a major issue."
"The tool should improve its integration with other products."
"Implementation of Databricks is still very code heavy."
"It would be great if Databricks could integrate all the cloud platforms."
"The biggest problem associated with the product is that it is quite pricey."
"The Databricks cluster can be improved."
"It's not easy to use, and they need a better UI."
"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."
"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."
 

Pricing and Cost Advice

"The solution requires a subscription."
"Databricks' cost could be improved."
"It is an expensive tool. The licensing model is a pay-as-you-go one."
"The cost for Databricks depends on the use case. I work on it as a consultant, so I'm using the client's Databricks, so it depends on how big the client is."
"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."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"The price is okay. It's competitive."
"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%
Computer Software Company
9%
Manufacturing Company
9%
Healthcare Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business25
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: November 2025.
879,425 professionals have used our research since 2012.