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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

"The product is quite fast."
"We switched to Snowflake for the availability, security, and loading times."
"The ability to share the data and the ability to scale up and down easily are the most valuable features. The concept of data sharing and data plumbing made it very easy to provide and share data. The ability to refresh your Dev or QA just by doing a clone is also valuable. It has the dynamic scale up and scale down feature. Development and deployment are much easier as compared to other platforms where you have to go through a lot of stuff. With a tool like DBT, you can do modeling and transformation within a single tool and deploy to Snowflake. It provides continuous deployment and continuous integration abilities. There is a separation of storage and compute, so you only get charged for your usage. You only pay for what you use. When we share the data downstream with business partners, we can specifically create compute for them, and we can charge back the business."
"All the people who are working with Snowflake are extremely happy with it because it is designed from a data-warehousing point of view, not the other way around. You have a database and then you tweak it and then it becomes a data warehouse."
"It helped us to build MVP (minimum viable product) for our idea of building a data warehouse model for small businesses."
"We decided to go with Snowflake because it seemed mature and had what we wanted."
"It is a very well-distributed system, it has different data engines for different applications, many applications can use different computational engines at the same time, and in terms of data processing, the feeling was similar to working with a relational database but in a scalable way."
"It's ultra-fast at handling queries, which is what we find very convenient."
"The development toolkit itself and the engine that supported the agent development was flexible."
 

Cons

"Snowflake could improve if they had an Operational Data Store(ODS) space."
"Snowflake can improve its machine learning and AI capabilities."
"Their UiPath, the workspace area, needs some work."
"They should improve the reporting tools."
"The aspect of it that was more complicated was stored procedures. It does not support SQL language-based stored procedures."
"The documentation might not be very straightforward; these are all the negative parts that we can see."
"Snowpipe auto-ingest should be automatic."
"Improvement is needed in integrating external tools, such as data catalogs, which can be complicated due to differing formats and usage across departments."
"The platform and toolkit that we use to develop agents could benefit from improvements from a user-friendliness perspective."
 

Pricing and Cost Advice

"There is a licensing for this solution and we purchased an enterprise license. Overall the solution is cost-effective."
"On average, with the number of queries that we run, we pay approximately $200 USD per month."
"The solution is costly, making it unsuitable for midsize organizations due to its price."
"Snowflake is expensive, but when I consider what we get for that price, it's fair. I rate the solution three out of five for affordability, right in the middle."
"Pricing is approximately $US 50 per DB. Terabyte is around $US 50 per month."
"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."
"Snowflake is cost-effective."
"I have worked with multiple clouds, and cost-wise, it is a bit costlier than others, such as Redshift. Its price should be reduced."
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.
921,028 professionals have used our research since 2012.