No more typing reviews! Try our Samantha, our new voice AI agent.

JFrog Artifactory vs Snowflake comparison

Why PeerSpot?
 

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

JFrog Artifactory
Ranking in AI Software Development
4th
Average Rating
8.2
Reviews Sentiment
7.4
Number of Reviews
18
Ranking in other categories
Repository Managers (2nd)
Snowflake
Ranking in AI Software Development
10th
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) (4th)
 

Mindshare comparison

As of October 2026, in the AI Software Development category, the mindshare of JFrog Artifactory is 0.4%. The mindshare of Snowflake is 0.5%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Software Development Mindshare Distribution
ProductMindshare (%)
JFrog Artifactory0.4%
Snowflake0.5%
Other99.1%
AI Software Development
 

Featured Reviews

FilipGrasheski - PeerSpot reviewer
Senior Manager - Platform Lead at a tech vendor with 10,001+ employees
Standardized artifact workflows have boosted collaboration and saved significant delivery time
The best features that JFrog Artifactory offers are that you can have all kinds of artifacts, supporting many different ones such as Docker images, Helm charts, and different binaries from different software languages. It has versioning that you can use, proxying as well that you can use as a mirror proxy, and there is also nice access control around it, so you can limit who has access to which parts of your JFrog Artifactory tree. Regarding access control and proxying, those features help my team by making it easy to provide read access to many different teams for different artifact repositories, which works really nicely when you have many teams requiring the same package but then have one team that is actually the developer of that package or artifact. In terms of the proxy, you can use it as a mirror proxy so that all your pulls for an image can go through JFrog Artifactory before they reach Docker or something, adding an extra layer of security in the company. JFrog Artifactory has impacted my organization positively by helping us have a standard artifact management solution, so everybody is aligned, allowing us to use the same best practices and same documentation, making it easy to implement in many different pipelines. Having a standard solution such as JFrog Artifactory has affected productivity and collaboration positively. Documentation is available for everybody that is using it, so my team, as clients to JFrog Artifactory, finds it easy to pull the documentation and implement it in our pipelines or for whatever needs we have related to JFrog Artifactory, which eases up collaboration by providing a single way of doing package management.
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.

Quotes from Members

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

Pros

"The most valuable feature is that it is a centralized repository and that you can open multiple repositories for different types of artifacts."
"I think JFrog Artifactory is good whether we use it for small scale or large scale operations."
"As for specific outcomes about the positive impact from expanding to four or five verticals, we have achieved faster deployment speeds, faster time to market, and lower pipeline failure rates."
"Having a standard solution such as JFrog Artifactory has affected productivity and collaboration positively."
"JFrog Artifactory has positively impacted my organization by centralizing artifact management and improving consistency across builds."
"Since we started using JFrog Artifactory, we no longer manage our own server just to keep source code and binary code, as all our binary repositories are in JFrog Artifactory, making it a very good repository manager where we can store all our artifacts in one easily accessible place without worrying about downtime or application unavailability, while also providing a proxy for remote applications that has transformed our release process to be faster."
"The package registries have been helpful. GitLab, our previous solution, wasn't managing that well."
"For the most part, it's pretty stable."
"Working with Parquet files is support out of the box and it makes large dataset processing much easier."
"The Mbps they have established is quite a bit faster than any other data warehouse."
"We find the data sharing and data marketplace aspects of Snowflake absolutely amazing."
"In addition to the database, Snowflake also provides ingestion capabilities."
"Stability-wise, this product is good."
"It was relatively easy to use, and it was easy for people to convert to it."
"Great scalability and near zero maintenance."
"The querying speed is fast."
 

Cons

"JFrog Artifactory could be improved for simpler workflows without dedicated infra teams or dedicated DevOps, as it could be difficult to configure."
"It's an enterprise product that acts like an enterprise product. In other words, it's not a product where they focus on user experience. I wasn't an administrator, so I primarily worked with the command line tool to upload and download parts of the product. I was not impressed with that because it wasn't well documented. It was challenging to figure out how to get things to work."
"JFrog could improve this product with tighter integration capabilities."
"The latest version that I am using is 7.41. It has been upgraded graphics-wise, but there is a bit of slowness. They can improve the graphical interface for the admin jobs and make it faster."
"The complexity of managing the tool and the high cost prevent it from being a ten, especially considering there are cloud-native alternatives that are cheaper and easier to use."
"In some of the latest versions of JFrog's SaaS solution, they changed the user interface, the SSO settings, how you interact with them over API, and how you generate tokens. It was very confusing for me. The overall user management is very complicated."
"We're looking for something that has additional reporting capabilities on data growth and data aging. This goes back to storage lifecycle management so that the actual Artifactory itself can provide these reports to either the administrators or the users. I don't know if it has those capabilities. That's something we have to look into regarding the self-service dashboard, but the tool itself having those capabilities would be great rather than trying to do it at the underlying storage hardware layer."
"I would like to see written technical support instead of having to contact them directly."
"Its pricing or affordability is one of the big challenges. Pricing was the only thing that we didn't like about Snowflake. In terms of technical features, it is a complete solution."
"It's difficult to know how to size everything correctly."
"We would like to have an on-premises deployment option that has the same features, including scalability."
"The solution needs to offer more functionality related to machine learning and artificial intelligence."
"The price could be improved."
"The data sharing capabilities across business units within the organization should be better."
"The solution could improve the user interface and add functionality to the system."
"Snowflake wasn't cheaper than BigQuery, and its affordability was the main issue."
 

Pricing and Cost Advice

"It is a bit expensive. It could be a little bit lower or have an a la carte option because, in our case, we had to go to the next version of Enterprise X because we needed one feature, which was more than three projects. We don't need all the other capabilities, but we're paying for all those. It's almost twice the cost of the previous version. So, it would be nice to have something along those lines."
"I am not aware of its cost, but it is worth investing in this. My guess is that its price is not much because we generally prefer open-source solutions, and if we are investing, we don't go for expensive ones. Our selection is based on the market demand and needs, and we invest only if something is worth the cost."
"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."
"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."
"The solution is expensive."
"We're based on credits. So, we're paying four and a half dollars of credit. There are no additional costs. I would rate it a two out of five in terms of pricing."
"The solution is expensive but worth the cost because the quality is there."
"The price of Snowflake is quite reasonable."
"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."
"I believe that pricing is reasonable for this solution."
report
Use our free recommendation engine to learn which AI Software Development solutions are best for your needs.
916,771 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
11%
Computer Software Company
11%
Comms Service Provider
9%
Financial Services Firm
17%
Manufacturing Company
11%
Outsourcing Company
9%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise4
Large Enterprise12
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise20
Large Enterprise61
 

Questions from the Community

What is your experience regarding pricing and costs for JFrog Artifactory?
I do not have much experience with pricing, setup cost, and licensing, as it was set up by a different team.
What needs improvement with JFrog Artifactory?
I cannot say much about how JFrog Artifactory can be improved. I appreciate the opportunity to add more about the needed improvements, even small ones. Maybe around user experience, I think one imp...
What is your primary use case for JFrog Artifactory?
My main use case for JFrog Artifactory is hosting artifacts for products, ranging from Docker images to Helm charts, and regular binaries. I can give you a specific example of how I use JFrog Artif...
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...
 

Also Known As

No data available
Snowflake Computing, Snowflake Data Cloud
 

Overview

 

Sample Customers

Oracle, Cisco, Cars.com, Riot Games, Google, CA Technologies
Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
Find out what your peers are saying about JFrog Artifactory vs. Snowflake and other solutions. Updated: September 2026.
916,771 professionals have used our research since 2012.