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Snowflake vs watsonx.ai comparison

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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
108
Ranking in other categories
Data Warehouse (1st), Cloud Data Warehouse (1st), AI Synthetic Data (1st), Database Management Systems (DBMS) (6th), AI Software Development (8th)
watsonx.ai
Average Rating
7.0
Reviews Sentiment
5.1
Number of Reviews
1
Ranking in other categories
AI Development Platforms (28th)
 

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 15.4%, down 16.8% compared to last year.
watsonx.ai, on the other hand, focuses on AI Development Platforms, holds 1.0% mindshare, up 0.3% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Snowflake15.4%
Databricks9.3%
Teradata9.2%
Other66.1%
Cloud Data Warehouse
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
watsonx.ai1.0%
Gemini Enterprise Agent Platform8.4%
Azure OpenAI7.5%
Other83.1%
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

"It is a very good platform. It can handle structured and semi-structured data, and it can be used for your data warehouse or data lake. It can load and deal with any data that you have. It can extract data from an on-premises database or a website and make it available in the cloud. It has very fast implementation and integration as compared to other solutions. There is no need for the DBA to manage or do the day-to-day DBA tasks, which is one of the greatest things about it."
"Its performance is a big advantage. When you run a query, its performance is very good. The inbound and outbound share features are also very useful for sharing a particular database. By using these features, you can allow others to access the Snowflake database and query it, which is another advantage of this solution. It has good security, and we can easily integrate it. We can connect it with multiple source systems."
"The product is stable and the performance is excellent."
"The querying speed is fast."
"Snowflake is an enormously useful platform. The Snowpipe feature is valuable because it allows us to load terabytes and petabytes of data into the data mart at a very low cost."
"Snowflake has improved our organization by powering company-wide dashboards that functions use to understand and manage their business."
"The product does a lot of wonderful stuff that a lot of these companies want to do without too much effort."
"The adaptation to development languages is most valuable. Our developers can SQL code or something else. It has been convenient in that regard."
"The development toolkit itself and the engine that supported the agent development was flexible."
 

Cons

"Its price should be improved. On the cost-side, it is more expensive than others."
"It's difficult to know how to size everything correctly."
"Its transaction application needs improvement."
"In a future release we would like to have a link which would allow us to connect to an external database and create certain views in your own database. This is because it is becoming hard for us to compare the data between multiple sources."
"There are some challenges with loading unstructured data and integrating some message queues or brokers. In one project, we had a problem connecting to one of the message queues and we had to take a different route altogether on Microsoft Azure."
"The data science functionality could be improved in terms of the machine learning process."
"The solution could improve the user interface and add functionality to the system."
"Portability is a big hurdle right now for our clients. Porting all of your existing SQL ecosystem, such as stored procedures, to Snowflake is a major pain point. Currently, Snowflake stored procedures use JavaScript, but they should support SQL-based stored procedures. It would be a huge advantage if you can write your stored procedures using SQL. It seems that they are working on this feature, and they are yet to release it. I remember seeing some notes saying that they were going to do that in the future, but the sooner this feature comes out, it would be better for Snowflake because there are a lot of clients with whom I'm interacting, and their main hurdle is to take their existing Oracle or SQL Server stored procedures and move them into Snowflake. For this, you need to learn JavaScript and how it works, which is not easy and becomes a little tricky. If it supports SQL-based procedures, then you can just cut-paste the SQL code, run it, and easily fix small issues."
"The platform and toolkit that we use to develop agents could benefit from improvements from a user-friendliness perspective."
 

Pricing and Cost Advice

"I have worked with multiple clouds, and cost-wise, it is a bit costlier than others, such as Redshift. Its price should be reduced."
"The pricing is economical as compared to traditional solutions like Oracle and competitive pricing."
"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."
"There is a separation of storage and compute, so you only pay for what you use."
"Pricing can be confusing for customers."
"Pricing is based on usage. It is the most expensive of our data tools."
"It is not cheap."
"You pay based on the data that you are storing in the data warehouse and there are no maintenance costs."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
11%
Outsourcing Company
9%
Comms Service Provider
6%
Manufacturing Company
17%
Outsourcing Company
12%
Educational Organization
10%
Construction Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise20
Large Enterprise61
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Snowflake?
We find the metering and billing experience for Snowflake to be expensive because there are many limitations to what it can do. When we compared performance-wise and cost-wise to Bedrock for some o...
What needs improvement with Snowflake?
Lessons learned about our main use case or how Snowflake performed in those areas include that the sales representatives do not really understand the product, and that the solutions consultants bas...
What is your primary use case for Snowflake?
Our main use case for Snowflake was to ingest data, use it for search, analytics, and data sharing with our customers; however, in reality, those use cases did not work. When it came to our challen...
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, Google, Databricks and others in Cloud Data Warehouse. Updated: October 2026.
920,929 professionals have used our research since 2012.