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IBM Db2 Warehouse on Cloud vs Snowflake 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
Snowflake Analytics
Ranking in Cloud Data Warehouse
10th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
42
Ranking in other categories
Web Analytics (2nd)
 

Mindshare comparison

As of October 2025, in the Cloud Data Warehouse category, the mindshare of IBM Db2 Warehouse on Cloud is 0.8%, up from 0.3% compared to the previous year. The mindshare of Snowflake Analytics is 1.1%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Snowflake Analytics1.1%
IBM Db2 Warehouse on Cloud0.8%
Other98.1%
Cloud Data Warehouse
 

Featured Reviews

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…
Garima Goel - PeerSpot reviewer
Have created secure cloud-based data lakes and improved real-time data processing using integrated AI features
There are many capabilities which Snowflake Analytics offers that I find valuable, such as the storage and compute engine that allows working with any cloud system such as AWS or Azure, alongside its efficiencies in storage computation and cost-effectiveness, which saves money compared to on-premise systems. We also have features such as pre-cached results, Time Travel, and fail-safe, which are very useful for restoring data if deleted accidentally, and the streams and data pipes that facilitate real-time ingestion are great features as well. Snowflake Analytics offers multiple new connectors, allowing me to connect it with Kafka, and with Snowpark, I can work with any programming language such as Python, Java, or Scala for data processing and analysis. The data sharing feature offered by Snowflake Analytics is good because it allows sharing specific sets of data to end customers or users from different Snowflake Analytics accounts without exposing the entire dataset for data security reasons. Snowflake Analytics' support for machine learning models and real-time insights has enhanced significantly. Originally, it wasn't strong in AI/ML, but now it has multiple models and forecasting capabilities, providing good competition to tools such as Databricks and Spark. In BI, I have worked majorly with Microsoft Power BI, and the integration with Snowflake Analytics is very easy. The way we integrate Snowflake Analytics with other on-premise systems just requires the warehouse details, username, passwords, and the account name, along with multiple options such as client ID and credentials for logging in and creating a session. The end-to-end encryption provided by Snowflake Analytics is very important because, in my previous firm, working in finance and investment management, data encryption is necessary due to the sensitive nature of customer data and the involvement of people's money. It's crucial to have encryption in transit and at rest, along with data masking features which Snowflake Analytics offers.

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.​"
"It is stable when there is support from IBM."
"The performance is okay as long as the volume of queries is not too high."
"It will be MPP, so performance should improve."
"Snowflake Analytics is pretty easy to use with the connectors for integration with the tools and systems in my company."
"One of the key advancements in Snowflake Analytics is data sharing."
"The most valuable features of Snowflake for our data analytics are its time travel capability, allowing easy data recovery, and its automatic optimization of partitioning and clustering."
"The most valuable feature of Snowflake Analytics is the ability to control and manage the cost."
"Scalability-wise, I rate the solution a ten out of ten."
"It's a scalable solution because you can analyze a huge amount of data in the solution."
"One of the distinctive features of Snowflake is its ability to handle large datasets efficiently."
"Considering everything I have accessed, the product's dashboard is good since it provides multiple good options, including customization options."
 

Cons

"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."
"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."
"There are some limitations in adding data files to table spaces, and improvements are needed for regional support."
"AIML-based SQL prompt and query generation could be an area for enhancement."
"However, if it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it would be even better."
"Snowflake could improve in the areas of advanced machine learning AML and generative AI."
"The tool should support EIM use cases. I guess the product is already working on it. I look forward to seeing inbuilt AI generative tools in the solution's future releases. The tool's price can be a little lower. The solution's on-premises support is also very limited. We have to rely on other support services to deploy it on-premises."
"There are issues while loading data from Snowflake Analytics to the Power BI reporting."
"Implementing everything on-premise is challenging because it require proper support from advisors, DBAs, and others."
"Navigating the user console can be challenging, particularly when looking for details like the account ID."
"The UI must be improved."
 

Pricing and Cost Advice

"If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version."
"I rate the product's licensing cost a five or six on a scale of one to ten, where one is low price, and ten is high price."
"On a scale of one to ten, where one is a low price, and ten is a high price, I rate the pricing a seven. The solution's pricing is high."
"The solution's price is high and I would rate it an eight out of ten."
"The cost of Snowflake Analytics is low, any small organization can use it."
"It is an expensive solution, but the kind of usability and flexibility it proactively provides for the organizations justify the price."
"The pricing is on the higher side."
"Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query."
"The tool is quite expensive."
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Top Industries

By visitors reading reviews
No data available
Computer Software Company
16%
Retailer
9%
Financial Services Firm
9%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Large Enterprise3
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise12
Large Enterprise21
 

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.
What is your experience regarding pricing and costs for Snowflake Analytics?
Snowflake Analytics is quite economical. It does not appear to incur significant extra expenses beyond the solution's initial cost. However, a complete pricing analysis is still in progress.
What needs improvement with Snowflake Analytics?
There are some minor issues encountered with Snowflake Analytics, such as problems when working with identity or row number generating different results or issues with referential integrity, which ...
 

Also Known As

IBM dashDB
No data available
 

Overview

 

Sample Customers

Copenhagen Business School, BPM Northwest, GameStop
Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
Find out what your peers are saying about IBM Db2 Warehouse on Cloud vs. Snowflake Analytics and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.