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Snowflake vs watsonx.ai comparison

 

Comparison Buyer's Guide

Executive Summary

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

Snowflake
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
106
Ranking in other categories
Data Warehouse (1st), Cloud Data Warehouse (1st), AI Synthetic Data (1st), Database Management Systems (DBMS) (7th), AI Software Development (9th)
watsonx.ai
Average Rating
7.0
Reviews Sentiment
5.1
Number of Reviews
1
Ranking in other categories
AI Development Platforms (27th)
 

Mindshare comparison

While both are Artificial Intelligence (AI) solutions, they serve different purposes. Snowflake is designed for Cloud Data Warehouse and holds a mindshare of 15.1%, down 18.7% compared to last year.
watsonx.ai, on the other hand, focuses on AI Development Platforms, holds 1.0% mindshare.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Snowflake15.1%
Databricks9.7%
Teradata8.8%
Other66.4%
Cloud Data Warehouse
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
watsonx.ai1.0%
Gemini Enterprise Agent Platform8.0%
Azure OpenAI6.8%
Other84.2%
AI Development Platforms
 

Featured Reviews

SunilPatil1 - PeerSpot reviewer
Asset Builder at Genpact - Headstrong
Have prioritized security while managing multi-agent data migration and cloud adoption
We utilize Time Travel with Snowflake because this is a very useful feature. Everyone finds it crucial because in conventional data platforms, it's very difficult to handle these kinds of things. This feature is essential, though I don't have the use cases currently; it is just there for implementation. Regarding Snowflake's automated scaling and suspension features, this auto-scaling is very significant. We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.
AmerKhan - PeerSpot reviewer
Senior Director - Head of Solution Engineering at Osol tech (Private) Limited
Experience gains better customer interactions and user-friendliness but requires more efficient agent development
The development toolkit itself and the engine that supported the agent development was flexible. The features include support for RAG and support for generative AI. What we're looking to do is provide a human-like interface where natural language comes into play to serve HR data. Our users interact in a narrative fashion and get their queries answered. It has increased our serving of HR requests by 30%. It is user friendly, and our user base was able to work with it quite conveniently.

Quotes from Members

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

Pros

"Snowflake on cloud is the best right now."
"I like the idea that you can assign roles and responsibilities, limiting access to data."
"The cloning functionality has been the most valuable. I have been able to completely copy databases. The data sharing concept is also useful. As compared to, for example, SAP, Snowflake is a lot more open, and it allows a lot more connectivity for other providers than an SAP ecosystem."
"It's user-friendly. It's SQL-driven. The fact that business can also go to this application and query because they know SQL is the biggest factor."
"It is a highly scalable solution. There is no limit on storage or computing."
"The most valuable features are sharing data, Time Travel, Zero Copy Cloning, performance, and speed."
"The most valuable feature has been the Snowflake data sharing and dynamic data masking."
"Everything is automatic, and I don't have to do any maintenance."
"The development toolkit itself and the engine that supported the agent development was flexible."
 

Cons

"Getting data out of the tool to third-party applications is difficult."
"If we can have a feature where the results can be moved to different tabs, so that I can compare the results with earlier queries before applying the changes, it would be great."
"Pricing is quite high for Snowflake Data Cloud, which is an area that could be improved."
"This solution could be improved by offering machine learning apps."
"The user interface continues to be an issue, especially when we need to get data out of Snowflake. It's very easy to get data in, but it's not too easy to get it out or extract it."
"Room for improvement would be writebacks. It doesn't support extensively writing back to the database, and it doesn't support web applications effectively. Ultimately, it's a database call, so if we are building web applications using Snowflake, it isn't that effective because there is some turnaround time from the database."
"Some SQL language functions could be included."
"Its price should be improved. On the cost-side, it is more expensive than others."
"The platform and toolkit that we use to develop agents could benefit from improvements from a user-friendliness perspective."
 

Pricing and Cost Advice

"I believe that pricing is reasonable for this solution."
"Snowflake’s pricing is transparent. It is one of the cheapest cloud database warehouse providers. The tool follows a credit cost model. Everything on Snowflake is charged on the basis of credits. The credits depend on the cloud region and the public cloud provider that we use. Hence, the cost per credit will be different for AWS in Frankfurt and AWS in India. I think North Virginia is the cheapest region in terms of cost per credit. You will be consuming around 16 credits for large data warehouses."
"We use Snowflake pretty heavily. We pay a significant amount of money for the tool. I'd say we pay $300k to $400K every year."
"The price for the solution's license depends on the use cases."
"Users have to pay a licensing fee for the solution, which is expensive."
"It is pay-as-you-go. Its cost is in the medium range."
"The whole licensing system is based on credit points. You can also make a license agreement with the company so that you buy credit points and then you use them. What you do not use in one year can be carried over to the next year."
"It's expensive."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
11%
Outsourcing Company
5%
Computer Software Company
5%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business30
Midsize Enterprise20
Large Enterprise61
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Snowflake?
I am not the person who manages pricing, setup cost, and licensing. Our team is not limited in pricing. The only experience we have had in terms of running and reprocessing a large number of histor...
What needs improvement with Snowflake?
One main area for improvement in Snowflake is cost visibility and optimization; while it's flexible and scalable, costs can increase quickly if warehouses are left running unnecessarily or workload...
What is your primary use case for Snowflake?
As a Data Engineer, I primarily use Snowflake for data warehousing tasks as well as ETL processing, and sometimes I also use it for data sharing. I personally find Snowflake better than other tools...
What needs improvement with watsonx.ai?
Improving on the development toolkit would help. The platform and toolkit that we use to develop agents could benefit from improvements from a user-friendliness perspective. Making it more user-fri...
What is your primary use case for watsonx.ai?
We are looking to develop HR agents on it, HR-based bots. We integrated it with our HR system, HRIS.
What advice do you have for others considering watsonx.ai?
This solution is highly recommended. On a scale of 1-10, I rate watsonx.ai a seven out of ten.
 

Also Known As

Snowflake Computing, Snowflake Data Cloud
No data available
 

Overview

 

Sample Customers

Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
Information Not Available
Find out what your peers are saying about Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse. Updated: June 2026.
900,747 professionals have used our research since 2012.