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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."
"-"
"Overall deployment and integration is pretty fast."
"The product works well with other Azure products."
"The most valuable aspect of this Microsoft Azure Synapse Analytics is its consolidation of technical support from Microsoft, and its ability to securely host large quantities of data within the cloud environment. The overall ability to manage and maintain Big Data within the cloud provides a heightened level of efficiency, reliability, and support from Microsoft. This results in a superior user experience and an increased level of value for the end user."
"The MPP (Massively Parallel Processing) architecture helps to make things a lot faster."
"The most valuable feature of Microsoft Azure Synapse Analytics is its integration with the new legacy systems. Whatever application we want to integrate, we receive the reports based on the objects. The solution is easy to purchase from the cloud."
"Scaling this solution is easy and the uptime is okay."
"Azure elasticity allows us to scale as much as we want, and it is pay-as-you-go, so we can scale up as we need to."
 

Cons

"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."
"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."
"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."
"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."
"The filing can be improved."
"This solution needs to have query caching so that if the same query is run and the results are available, it will return the data from the cache without having to re-run the query."
"The major challenge that we're seeing with Azure Synapse is around security concerns. The way it is working right now, it has Managed VNet by Microsoft option, similar to the implementation of Azure Databricks, which may pose a concern for financial institutions. For managed environments, the banks have very strict policies around data being onboarded to those environments. For some confidential applications, the banks have the policy to encrypt it with their own key, so it is sort of like Bring Your Own Key, but it is not possible to manage the resources with Microsoft or Databricks, which is probably the major challenge with Azure Synapse. There should be more compatibility with SQL Server. It should be easier to migrate solutions between different environments because right now, it is not really competitive. It is not like you can go and install SQL Database in some other environment. You will have to go through some migration projects, which probably is one of the major showstoppers for any bank. When they consider Synapse, they not only consider the investment in the actual service; they also consider the cost of the migration process. When you scale out or scale down your system, it becomes unavailable for a few minutes. Because it is a data warehouse environment, it is not such a huge deal, but it would be great if they can improve it so that the platform is available during the change of configuration."
"Right now, we are really struggling with the performance. it's not as good as we had hoped."
"The need to improve a little bit in terms of user-friendliness."
"Synapse Analytics' performance slows down if you don't get your distribution right because it gets queued and goes into a single node."
"In the future, Microsoft Azure Synapse Analytics has the potential to enhance its capabilities by expanding its connectors, specifically with regard to Oracle solutions, such as operating systems. This would involve a comprehensive approach to adding more connectors for both data input and consumption purposes. By doing so, Microsoft Azure Synapse Analytics would be better equipped to meet the diverse needs of its users and achieve greater efficiency in its performance. The provision of more connectors is definitely a crucial area that needs improvement."
"The performance needs to improve in future releases."
 

Pricing and Cost Advice

"If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version."
"Microsoft's pricing is relatively high, and it varies according to the extent of our usage. The pricing is directly tied to our consumption. This decision is ultimately a business choice."
"The costs are billed such that we pay for what we use, which is a good thing."
"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 price of this solution could be improved."
"It's very difficult to price unless you know exactly how the customer is using it."
"The solution is very expensive because it often requires the purchase of additional storage."
"I'm not sure of the exact cost, however, it is around $100,000 a year."
"The solution is expensive at the enterprise level."
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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.