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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

"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 will be MPP, so performance should improve."
"It is stable when there is support from IBM."
"The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range."
"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."
"One of the most valuable features in Microsoft Azure Synapse Analytics is the ability to write your own ETL code using Azure Data Factory, which is a component within Synapse."
"The solution operates like a typical SQL Server environment so there is no alienation in terms of technical knowledge."
"We have found that it is easy to develop and to do the analytics in the modules of data."
"The MPP (Massively Parallel Processing) architecture helps to make things a lot faster."
"For Microsoft Azure Synapse Analytics, the integration is the most valuable feature, meaning that whatever you need is fast and easy to use."
"It is a fantastic product; we are satisfied with its features and performance."
 

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."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"There are some limitations in adding data files to table spaces, and improvements are needed for regional support."
"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."
"It needs strong support for social media, internet data, and native support for NoSQL."
"The scalability of Microsoft Azure Synapse Analytics is a concern, depending on the size of the data warehouse to be built."
"Microsoft Azure Synapse Analytics's overall integration within the Azure ecosystem could improve. The native Microsoft solution versus another solution, such as Databricks, there are areas where there could be some improvements."
"Microsoft should develop an interface to make it easier to shift from on-premise to the cloud."
"There is no reason to use Microsoft Azure Synapse Analytics and to pay so much for it, but because of the integration of Microsoft Azure Synapse Analytics in the cloud since it's a Microsoft native tool, you can't say the same for Databricks, which is an open-source tool that Microsoft took inside."
"Unfortunately, we have had some issues with the dashboard reporting. Sometimes, the data for specific periods would just appear blank on the dashboard. To investigate this, we worked with a Microsoft incident agent and it turned out to be a result of bugs in the platform when dealing with specific types of queries in Azure Data Factory."
"The main areas for improvement are cost and integration with different toolsets within one package."
"There is a limit on the number of concurrent queries to around 125 for Azure Synapse."
 

Pricing and Cost Advice

"If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version."
"The computer and storage costs are totally separate which allows you to work independently or manage costs."
"Because it's cloud the cost is a different convention and the licensing costs are not the same."
"We only have to pay for what we use in the solution. It's easy for the customers. It's not more than some companies, not more than 300 to 400 users. They do not need to buy other license products, such as SAP B1, or analytics tools in the market, such as Tableau."
"The pricing is quite reasonable in comparison to other products."
"All of the prices are available online."
"We chose the serverless option for the database which has saved us a lot of money. Our costs are approximately £600 per month."
"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."
"The price of this solution could be improved."
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
11%
Financial Services Firm
9%
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.
881,665 professionals have used our research since 2012.