IBM Db2 Warehouse vs Snowflake Analytics comparison

IBM and Snowflake Computing are both solutions in the Cloud Data Warehouse category. Additionally, 81% of IBM users are willing to recommend the solution, compared to 100% of Snowflake Computing users who would recommend it.

IBM Db2 Warehouse

Read 12 IBM Db2 Warehouse reviews

1,258 Views
931 Comparison Views

81% willing to recommend

Snowflake Analytics

Read 42 Snowflake Analytics reviews

822 Views
296 Comparison Views

100% willing to recommend

IBM Db2 Warehouse

Snowflake Analytics

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Executive Summary

We performed a comparison between IBM Db2 Warehouse and Snowflake Analytics based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM Db2 Warehouse vs. Snowflake Analytics Report (Updated: September 2025).

Buyer's Guide

IBM Db2 Warehouse vs. Snowflake Analytics

September 2025

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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

Average Rating

7.8

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Data Warehouse (11th)

Snowflake Analytics

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Web Analytics (2nd), Cloud Data Warehouse (10th)

Featured Reviews

Sherpard Muzuva

Senior Technical Manager- IBM Enterprise Systems at SYSTEMS INTEGRATED LTD (SYMPHONY)

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.

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Garima Goel

Associate Principal Engineer at Nagarro

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.

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Quotes from Members

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

Pros

"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."

"Provides good security and reliability."

"The solution is stable."

"It can scale effectively as long as resources are available."

"The analytics engine is not bad at forecasting predictions."

"Some of the best features are stored procedures, parallelism, and different indexing strategies."

"The most valuable features of IBM Db2 Warehouse include its availability, easy integration, ability to deal with a large size of data, excellent performance with no delays, powerful security mechanisms, and effective support."

More IBM Db2 Warehouse pros

"It's a scalable solution because you can analyze a huge amount of data in the solution."

"Time Travel and Snowpipe are good features."

"Scaling is very high – there's no problem for scaling purposes. The learning curve is very small. And there are a lot of advanced features like handling duplicates, security, data governance, data sharing, and data cloning."

"It can run complex workloads with varied compute."

"Snowflake has a streaming capability to work with real-time streaming data and delta tables."

"The most important feature is the warehouse functionality."

"I am impressed with the product's data-sharing feature."

"One of the distinctive features of Snowflake is its ability to handle large datasets efficiently."

More Snowflake Analytics pros

Cons

"Responding to support tickets takes a lot of time. It can range from two to four days, even for critical issues."

"There should be more material available for training and training should be free."

"There were some initial challenges with IBM Db2 Warehouse about eight months ago when I worked in this environment. When I coordinated with IBM support, they mentioned that the memory was insufficient for our needs. Our business environment required significantly more memory than the previous cluster could provide. Consequently, we have worked closely with on-site IBM technical personnel to address this issue."

"The biggest challenge anyone could have with Db2 Warehouse is their references or online resources and documentation. They are very, very, very limited on the web."

"In terms of improvement, IBM Db2 Warehouse should be more scalable."

"IBM Db2 Warehouse needs to improve its interface."

"The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting."

"The biggest problems we have is when the backup solution is failing or slow and we run out of log space, which has happened probably a couple of times in the last four years."

More IBM Db2 Warehouse cons

"The solution’s scalability could be improved."

"Snowflake Analytics should probably have more built-in tools for master data management."

"A room for improvement in Snowflake Analytics is Spark, particularly its connector for Spark. An additional feature I'd like to see in the next release of the solution is built-in analytics."

"The pricing visibility is complex. If you understand pricing, you can estimate costs, but if not, it can be challenging."

"AIML-based SQL prompt and query generation could be an area for enhancement."

"Moving data from legacy systems to Snowflake is not that easy. There are some cases where processors are not actually compatible with Snowflake."

"Snowflake could improve in the areas of advanced machine learning AML and generative AI."

"End-to-end execution of jobs isn't possible with Snowflake, which means we have to do some customization."

More Snowflake Analytics cons

Pricing and Cost Advice

"In a traditional on-prem database, in a data warehouse, the solution is probably on the expensive side."

"When using Snowflake, you pay based on your usage. They calculate how much CPU has been used. If you use excess warehouse storage, you are charged one credit per hour. If you are in Asia, you are charged $3 per credit. If you have 10 users running parallel with the same excess, you will be charged $30."

"It is an expensive solution, but the kind of usability and flexibility it proactively provides for the organizations justify the price."

"The product's pricing is subjective."

"Snowflake Analytics is not an expensive solution, and its pricing is average."

"It is not overly expensive. I would rate the pricing a six out of ten, with ten being expensive."

"I rate the product price a seven on a scale of one to ten, where one is low price, and ten is high price."

"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."

"The solution's pricing is affordable."

More Snowflake Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

27%

Manufacturing Company

Government

Retailer

Computer Software Company

16%

Retailer

Financial Services Firm

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	3
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	12
Large Enterprise	21

Questions from the Community

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.

See all answers

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.

See all answers

What needs improvement with IBM Db2 Warehouse?

See all answers

What do you like most about Snowflake Analytics?

Its performance speed is very good.

See all answers

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.

See all answers

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 ...

See all answers

Comparisons

Snowflake vs IBM Db2 Warehouse

Compared 40% of the time

Teradata vs IBM Db2 Warehouse

Compared 23% of the time

Oracle Exadata vs IBM Db2 Warehouse

Compared 19% of the time

Magnitude vs IBM Db2 Warehouse

Compared 18% of the time

More IBM Db2 Warehouse Competitors

Amplitude vs Snowflake Analytics

Compared 22% of the time

Adobe Analytics vs Snowflake Analytics

Compared 20% of the time

SAP Business Data Cloud vs Snowflake Analytics

Compared 18% of the time

Teradata vs Snowflake Analytics

Compared 15% of the time

SAP IQ vs Snowflake Analytics

Compared 13% of the time

More Snowflake Analytics Competitors

Product Reports

Buyer's Guide

IBM Db2 Warehouse

September 2025

Download IBM Db2 Warehouse product report

Buyer's Guide

Snowflake Analytics

September 2025

Download Snowflake Analytics product report

Also Known As

InfoSphere Warehouse, IBM InfoSphere Warehouse

No data available

Overview

InfoSphere Warehouse is a suite of products that combines the strength of DB2 with a data warehousing infrastructure from IBM. You can use InfoSphere Warehouse to build a complete data warehousing solution that includes a highly scalable relational database, data access capabilities, and front-end analysis tools.

IBM

Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.

To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.

Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.

Snowflake Computing

Sample Customers

Alameda County Social Services Agency, Sui Southern Gas Company Limited

Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper

Buyer's Guide

IBM Db2 Warehouse vs. Snowflake Analytics

September 2025

Free Report: IBM Db2 Warehouse vs. Snowflake Analytics

Find out what your peers are saying about IBM Db2 Warehouse vs. Snowflake Analytics and other solutions. Updated: September 2025.

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