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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) (3rd), AI Software Development (6th)
watsonx.ai
Average Rating
7.0
Reviews Sentiment
5.1
Number of Reviews
1
Ranking in other categories
AI Development Platforms (29th)
 

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 15.3%, down 17.6% compared to last year.
watsonx.ai, on the other hand, focuses on AI Development Platforms, holds 1.0% mindshare, up 0.1% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Snowflake15.3%
Databricks9.5%
Teradata8.7%
Other66.5%
Cloud Data Warehouse
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
watsonx.ai1.0%
Gemini Enterprise Agent Platform8.1%
Azure OpenAI7.3%
Other83.6%
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

"We switched to Snowflake for the availability, security, and loading times."
"The most valuable feature is the snapshot database. In one second, you can just take a snapshot of the database for test purposes."
"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."
"I have found the solution's most valuable features to be storage, flexibility, ease of use, and security."
"The Mbps they have established is quite a bit faster than any other data warehouse."
"The technical support on offer is excellent."
"I think this solution provides the best potential of any data warehousing product where they choose to use Snowflake instead of Oracle or DBII."
"The solution speeds up the process of onboarding."
"The development toolkit itself and the engine that supported the agent development was flexible."
 

Cons

"Although the UI has improved lately, they still need to work on their UiPath, the workspace area."
"Improvement is needed in integrating external tools, such as data catalogs, which can be complicated due to differing formats and usage across departments."
"They should improve the reporting tools."
"I don't think that the AI tools in Snowflake are good."
"I have heard people having difficulty with the machine learning model, so there may be room for improvement."
"Snowflake has to build more capabilities because they have only built very few adapters, but they're growing and they're building."
"It doesn't enforce typical relational database constraints. Quite expensive."
"To ensure the proper functioning of Snowflake as an MDS, it relies heavily on other partner tools."
"The platform and toolkit that we use to develop agents could benefit from improvements from a user-friendliness perspective."
 

Pricing and Cost Advice

"On average, with the number of queries that we run, we pay approximately $200 USD per month."
"Snowflake is cost-effective. However, the cost can depend on how it's being used and how efficiently the code is written. If engineers don't write efficient code and usage is billed based on processing, it can become costly. If they write optimal code and choose the best solution, it can reduce costs in comparison to other options, such as Oracle."
"You pay based on the data that you are storing in the data warehouse and there are no maintenance costs."
"The price of Snowflake is quite reasonable."
"Currently, we have a trial account, so we don't need a license. After our project starts, we would need a permanent license."
"The solution is expensive but worth the cost because the quality is there."
"They give a different price for every single company. I don't know if I negotiated that well, but we got the enterprise tier for $3 a credit, and the other two were a dollar-ninety a credit. I suspect we don't have almost zero compute usage, but I know that our annual contract packages are below all of their minimums."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Manufacturing Company
11%
Outsourcing Company
7%
Construction Company
6%
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: July 2026.
908,834 professionals have used our research since 2012.