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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
105
Ranking in other categories
Data Warehouse (1st), Cloud Data Warehouse (1st), AI Synthetic Data (1st), Database Management Systems (DBMS) (7th), AI Software Development (11th)
watsonx.ai
Average Rating
7.0
Reviews Sentiment
5.1
Number of Reviews
1
Ranking in other categories
AI Development Platforms (25th)
 

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 14.9%, down 19.4% compared to last year.
watsonx.ai, on the other hand, focuses on AI Development Platforms, holds 0.8% mindshare.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Snowflake14.9%
Databricks10.2%
Teradata8.8%
Other66.1%
Cloud Data Warehouse
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
watsonx.ai0.8%
Gemini Enterprise Agent Platform8.4%
Azure OpenAI6.6%
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

"The solution is very stable."
"From a user's standpoint, it is a good product."
"Snowflake is user-friendly and reliable in creating the data warehouse and carrying out data modeling."
"It is a cloud solution with many useful features, has data science capability, and can transform and prepare data for a data science project with scalability."
"The product is quite fast."
"Snowflake solves many of the challenges that traditional data warehousing tools have such as a lack of agility, scalability and fine-tuning."
"The most valuable features are the clustering, LS50, being able to change the size, the pay per use feature, the flexibility with many different sources and analytic applications."
"Stability-wise, this product is good."
"The development toolkit itself and the engine that supported the agent development was flexible."
 

Cons

"I am still in the learning stage. It has good security, but it can always be more secure."
"We would like to see more security including more masking and more encryption at the database level."
"I think that Snowflake could improve its user interface. The current one is not interactive."
"There is a scope for improvement. They don't currently support integration with some of the Azure and AWS native services. It would be good if they can enhance their product to integrate with these services."
"These days, they are pushing users towards the GUI or graphical version. However, I am more familiar with the classic version. I'd like to continue to work with it using the older approach."
"There are some challenges with loading unstructured data and integrating some message queues or brokers."
"They have a new console, but I couldn't figure out anything in the new console."
"Currently there isn't end-to-end or B2B sharing of data."
"The platform and toolkit that we use to develop agents could benefit from improvements from a user-friendliness perspective."
 

Pricing and Cost Advice

"Snowflake licensing is more flexible and it is cheaper than other solutions. I can use it for only 10 days for MVP, or three years, and for flexible models. I can scale up, or down, and the pricing is based on the volume and duration. There are many licensing permutation combinations available."
"There is a license needed to use this solution. There are a few licensing options available. They have a pay-as-you-go option, but it is recommended to pay upfront."
"It is per credit. It has a use-it-as-you-go model. We bought a chunk of 20,000 credits, and they were lasting us for at least a year. We didn't have the scale of data like a much larger company to consume more credits. For us, it was very inexpensive. Their strategy is just to leverage what you've got and put Snowflake in the middle. It doesn't make it expensive because most of the organizations already have reporting tools. Now, if you were starting from scratch, it might be cheaper to go a different way."
"I have not been billed yet, but it should be less. I'm still running the trial version, but it seems to be less than Databricks."
"I am not much aware of the price, but based on what I have analyzed so far, its cost is reasonable as compared to on-prem data warehouse solutions. It provides a great deal for production."
"Pricing is based on usage. It is the most expensive of our data tools."
"Part of the problem with the pricing is that it is very difficult for businesses to get an idea of how expensive it might be until they actually start using Snowflake."
"It is not cheap."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
9%
Computer Software Company
6%
Healthcare Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business30
Midsize Enterprise20
Large Enterprise59
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Snowflake?
For pricing, setup cost, and licensing, everything is managed smoothly. Regarding licensing, it is inexpensive. The setup cost is low, mainly due to AWS Marketplace; we only need to pay for serverl...
What needs improvement with Snowflake?
Snowflake is already quite improved, but they have recently introduced AI features. AI integration would be beneficial for direct data capturing from systems such as SAP and Salesforce to Snowflake...
What is your primary use case for Snowflake?
Snowflake is primarily used to handle the data warehousing part, for creating data modeling, and also keeping the raw data and creating reporting data so that it is further used for data analytics....
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: May 2026.
893,244 professionals have used our research since 2012.