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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
91
Ranking in other categories
Cloud Data Warehouse (9th), Data Science Platforms (1st), 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

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.
Sherpard  Muzuva - PeerSpot reviewer
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

"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"Databricks is definitely a very stable product and reliable."
"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."
"The ease of use and its accessibility are valuable."
"The technical support is good."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"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."
"I think it scales really well and as long as you take enough time to learn a little bit about it, it works really well."
"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."
"The analytics engine is not bad at forecasting predictions."
"It can be mounted on the cloud, which is a huge plus. If the client, for example, starts small with on-premise deployment and then it rapidly needs to grow, we can transfer this to the cloud easily."
"IBM Db2 Warehouse is more resilient when dealing with business intelligence applications."
"IBM Db2 Warehouse is more resilient when dealing with business intelligence applications."
"Provides good security and reliability."
"It can scale effectively as long as resources are available."
 

Cons

"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"Costs can quickly add up if you don't plan for it."
"The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"The pricing of Databricks could be cheaper."
"I have seen better user interfaces, so that is something that can be improved."
"There are no direct connectors — they are very limited."
"The integration and query capabilities can be improved."
"Lacks sufficient documentation and particularly in Spanish."
"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."
"It takes a long time to have a new version or release, similar to Oracle."
"IBM Db2 Warehouse needs to improve its interface."
"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."
"There should be more material available for training and training should be free."
"The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting."
 

Pricing and Cost Advice

"The billing of Databricks can be difficult and should improve."
"We implement this solution on behalf of our customers who have their own Azure subscription and they pay for Databricks themselves. The pricing is more expensive if you have large volumes of data."
"It is an expensive tool. The licensing model is a pay-as-you-go one."
"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."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"I would rate Databricks' pricing seven out of ten."
"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."
"Databricks' cost could be improved."
"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
18%
Computer Software Company
9%
Manufacturing Company
9%
Healthcare Company
6%
Financial Services Firm
27%
Manufacturing Company
9%
Government
9%
Retailer
7%
 

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 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 do you like most about IBM Db2 Warehouse?
The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data.
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...
 

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: September 2025.
869,566 professionals have used our research since 2012.