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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), 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 October 2025, in the Cloud Data Warehouse category, the mindshare of Databricks is 8.3%, up from 5.9% compared to the previous year. The mindshare of IBM Db2 Warehouse on Cloud is 0.8%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Databricks8.3%
IBM Db2 Warehouse on Cloud0.8%
Other90.9%
Cloud Data Warehouse
 

Featured Reviews

ShubhamSharma7 - PeerSpot reviewer
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
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 a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."
"Databricks has helped us have a good presence in data."
"The setup is quite easy."
"Automation with Databricks is very easy when using the API."
"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"Databricks' capability to process data in parallel enhances data processing speed."
"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger.​"
"The performance is okay as long as the volume of queries is not too high."
"It is stable when there is support from IBM."
"It will be MPP, so performance should improve."
 

Cons

"There are no direct connectors — they are very limited."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"We often use a single cluster to ingest Databricks, which Databricks doesn't recommend. They suggest using a no-cluster solution like job clusters. This can be overwhelming for us because we started smaller."
"It would be great if Databricks could integrate all the cloud platforms."
"Implementation of Databricks is still very code heavy."
"The API deployment and model deployment are not easy on the Databricks side."
"The integration features could be more interesting, more involved."
"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."
"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."
"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."
 

Pricing and Cost Advice

"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
"The solution requires a subscription."
"The solution is a good value for batch processing and huge workloads."
"I would rate Databricks' pricing seven out of ten."
"We're charged on what the data throughput is and also what the compute time is."
"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."
"Price-wise, I would rate Databricks a three out of five."
"The solution is affordable."
"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: September 2025.
869,566 professionals have used our research since 2012.