Try our new research platform with insights from 80,000+ expert users

IBM Db2 Warehouse on Cloud vs Microsoft Azure Synapse Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

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

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
Microsoft Azure Synapse Ana...
Ranking in Cloud Data Warehouse
6th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
98
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Cloud Data Warehouse category, the mindshare of IBM Db2 Warehouse on Cloud is 1.8%, up from 0.4% compared to the previous year. The mindshare of Microsoft Azure Synapse Analytics is 6.1%, down from 6.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Microsoft Azure Synapse Analytics6.1%
IBM Db2 Warehouse on Cloud1.8%
Other92.1%
Cloud Data Warehouse
 

Featured Reviews

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…
AnandTiwari - PeerSpot reviewer
CTO at New Turn Technologies
Has consistently supported integration across diverse environments and streamlined deployment processes
Microsoft Azure Synapse Analytics could improve their pricing structure. They currently have two separate pricing tiers: full log and partial log. I suggest they implement a single price and reduce charges on logs. They could implement a cap with some free tier or price tier based on the GBs of log collected. This would help customers use Azure more effectively. Microsoft Azure Synapse Analytics is an excellent product because it includes both SIEM and orchestration capabilities with playbooks, but the log management part is very costly. Regarding future improvements, I would appreciate more application connectors for integration, particularly for on-premise based solutions. Many customers still maintain on-premise infrastructure, so having more integration possibilities for these environments would be beneficial.

Quotes from Members

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

Pros

"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.​"
"The performance is okay as long as the volume of queries is not too high."
"Can capture all the transactional data throughout a company."
"The product provides a seamless and adaptable approach to data processing and analytics."
"They are very reliable and cost-effective."
"We use Azure Synapse Analytics in many different areas and industries, so I like that you can administrate and create pipelines for difference sources of data and later integrate and deploy it to other internal areas, such as separate dashboards for financials, and so on."
"Our primary use case is for gathering data and analytics. We provide insights into vehicle data. We gather millions of records per second and we have various millions of vehicles running across."
"The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range."
"It's quite quick for querying, even with large datasets, and it's scalable. It's also flexible to use, so it's easy to update and get data quickly without wasting time."
"The best feature of Microsoft Azure Synapse Analytics is the notebook functionality; it provides a very good interface, and we can easily do our experiments, POCs, and check things before migration or deployment to higher environments such as from development to SIT and then production."
 

Cons

"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."
"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."
"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."
"Microsoft Azure Synapse Analytics can improve by increasing the size of the files that we can load on the platform. We have some files that are too large to be loaded and it would be a benefit to us if the limit was increased. Additionally, the way we use the tool for generating reports can be made better. They should add some drag-and-drop rules without the need of programming these rules using some programming language. It would be helpful if we did not need someone that was technically advanced to be able to do it with, such as someone with no IT background. Having a reporting tool without code would be great."
"When I was trying to link services to an SFTP site it was not able to do all the possible encryption that I needed. They can improve by adding more encryption options."
"Indicating what areas need improvement in this solution is a difficult question because the organizations that I am working for are really new in this area. However, an even better more simple interface, or perhaps an extension of a connector app store solution, would be helpful."
"The only issue that we have run into with the solutions performance is with regards to concurrency."
"Scalability is a little laggy or jittery. Sometimes, when jobs are running in production, it might show some faults, and recovering from such scenarios becomes a bit problematic or time-consuming."
"The product needs a tool that allows for work from a laptop instead of a browser."
"One area that could be improved is the schema management."
"The initial setup is complex."
 

Pricing and Cost Advice

"If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version."
"Price varies by use-case. You pay for the database itself in addition to any consumed data within Serverless plus other fees if you use the Data Factory that is inside."
"The price of this solution could be improved."
"You have to be very careful with one specific service inside Microsoft Azure Synapse Analytics which is called the Sequel Data Warehouse Dedicated. It is very reliable and performs well, but it's expensive. You need to define the tier well because you can choose between several tiers and you have to define which suits your needs and not overperform the tier because it's quite expensive."
"The cost of the licensing depends on the size of the warehouse, where the cost of storage is approximately $130 USD per terabyte."
"Its price could be better. It was a school project, and I got it for free. If I try to pay through my company, it is a little bit more expensive as compared to Oracle."
"Very costly solution and other products are available for less."
"The computer and storage costs are totally separate which allows you to work independently or manage costs."
"We are on a monthly payment plan for the use of Microsoft Azure Synapse Analytics."
report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
881,360 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Manufacturing Company
11%
Financial Services Firm
10%
Computer Software Company
6%
Retailer
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Large Enterprise3
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise18
Large Enterprise56
 

Questions from the Community

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.
How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?
Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...
What do you like most about Microsoft Azure Synapse Analytics?
The product is easy to use, and anybody can easily migrate to advanced DB.
 

Also Known As

IBM dashDB
Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
 

Overview

 

Sample Customers

Copenhagen Business School, BPM Northwest, GameStop
Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
Find out what your peers are saying about IBM Db2 Warehouse on Cloud vs. Microsoft Azure Synapse Analytics and other solutions. Updated: January 2026.
881,360 professionals have used our research since 2012.