Try our new research platform with insights from 80,000+ expert users

Make vs Snowflake comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 11, 2025

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

Make
Ranking in AI Software Development
20th
Average Rating
7.2
Reviews Sentiment
6.0
Number of Reviews
4
Ranking in other categories
Process Automation (23rd)
Snowflake
Ranking in AI Software Development
10th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
103
Ranking in other categories
Data Warehouse (1st), Cloud Data Warehouse (1st), AI Synthetic Data (1st), Database Management Systems (DBMS) (5th)
 

Mindshare comparison

As of January 2026, in the AI Software Development category, the mindshare of Make is 0.6%, down from 1.6% compared to the previous year. The mindshare of Snowflake is 0.4%. It is calculated based on PeerSpot user engagement data.
AI Software Development Market Share Distribution
ProductMarket Share (%)
Snowflake0.4%
Make0.6%
Other99.0%
AI Software Development
 

Featured Reviews

FA
Chief Executive Officer at Ashtex Solutions
Flexibility and efficiency accelerate business processes
Make needs to put some focus on or clarify the security aspect in its documentation or website. When creating automation through these modules between two different applications, there should be clarity about whether the data is secure while passing through these automations or integrations created within Make. The pricing of Make at this point is through operations consumption, and it becomes really expensive in certain scenarios when iterations are involved. The operation consumption is too high and sometimes becomes a burden on the client. Make needs to review its pricing strategy since they have tough competition from n8n. Make sometimes has issues with user logins and data saving when simultaneously working on two different PCs or when two developers are working on something or some blueprint. It can lose saved data from one interface to the other, and when logging on with the same user on another workstation, it occasionally misbehaves. We were unaware that Make had its own local implementation module. They need to advertise this feature more effectively as we are developing many projects in Make and working with various clients.
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 features of Make are the additional options when compared to other similar solutions. For example, with Google my business, you can only do certain things with Zapier, whereas with Make, you can do a little bit more."
"Make has a very good return on investment because although we pay that amount, we secure clients and the client life cycle is kept intact."
"Make's front-end interface, the modular interface that it has, drag-and-drop interface, is very easy to understand, use, and integrate."
"Make's front-end interface, the modular interface that it has, drag-and-drop interface, is very easy to understand, use, and integrate."
"The most efficient way for real-time dashboards or analytical business intelligence reports to be sent to the customer."
"The tool is very easy to use. The solution’s desktop features are also very easy to use. Also, the product’s SQL-based connectivity is also good. It can connect with any tool."
"Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses."
"The initial setup is very simple."
"My company wanted to have all our data in one single place and this what we use Snowflake for. Snowflake also allows us to build connectors to different data sources."
"It requires no maintenance on our part. They handle all that. The speed is phenomenal. The pricing isn't really anything more than what you would be paying for a SQL server license or another tool to execute the same thing. We have zero maintenance on our side to do anything and the speed at which it performs queries and loads the data is amazing. It handles unstructured data extremely well, too. So, if the data is in a JSON array or an XML, it handles that super well."
"Great scalability and near zero maintenance."
"The Time Travel feature is helpful for accessing historical data and the ability to clone external tables is useful."
 

Cons

"One thing is that the platform is really slow when loading. It takes about three minutes to get to the page of an automation and start changing things."
"The pricing of Make at this point is through operations consumption, and it becomes really expensive in certain scenarios when iterations are involved."
"The pricing of Make at this point is through operations consumption, and it becomes really expensive in certain scenarios when iterations are involved."
"Make could improve the ease of use, it can be more complicated than other solutions. There are a lot of elements that are more technical than in other solutions."
"The price could be improved."
"Some SQL language functions could be included."
"For the Snowflake database, there should be some third-party features for the ETL. It would also be good to be able to use some kind of controls to get the data either from another database or a flat file. Its price should be improved. It should be cheaper than Microsoft."
"Snowflake can improve its machine learning and AI capabilities."
"The solution should offer an on-premises version also. We have some requirements where we would prefer to use it as a template."
"There is room for improvement in Snowflake's integration with Python. We do a lot of SQL programming in Snowflake, but we go to a different tool to program when we have to in Python."
"It's not that flexible when compared to Oracle."
"Sometimes it can be tricky to manage multiple environments if you're purely using Snowflake as your scripting and pipeline environment."
 

Pricing and Cost Advice

"The price of Make is approximately $20 per month for the platform."
"It is pay-as-you-go. Its cost is in the medium range."
"Users have to pay a licensing fee for the solution, which is expensive."
"Currently, we have a trial account, so we don't need a license. After our project starts, we would need a permanent license."
"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."
"On average, with the number of queries that we run, we pay approximately $200 USD per month."
"Snowflake has consumption-based costs; users only pay for storage and computing."
"Pricing is approximately $US 50 per DB. Terabyte is around $US 50 per month."
"There is a separation of storage and compute, so you only pay for what you use."
report
Use our free recommendation engine to learn which AI Software Development solutions are best for your needs.
881,114 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
20%
Computer Software Company
9%
Manufacturing Company
9%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise20
Large Enterprise58
 

Questions from the Community

What is your experience regarding pricing and costs for Make?
I find the pricing, setup costs, and licensing costs of Make to be reasonable.
What needs improvement with Make?
One thing is that the platform is really slow when loading. It takes about three minutes to get to the page of an automation and start changing things. That is really slow and frustrating. Another ...
What is your primary use case for Make?
In our current company, we have a funnel workflow for the people who sign up. We do certain things such as creating database entries, creating our CRM entries, and then updating the information. If...
What do you like most about Snowflake?
The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power.
What is your experience regarding pricing and costs for Snowflake?
It is complicated to understand how requests impact warehouse size. Unlike competitors such as Microsoft and Databricks ( /products/databricks-reviews ), Snowflake lacks transparency in estimating ...
What needs improvement with Snowflake?
Snowflake is currently stable, but it can be improved further. They have a couple of information schemas that can track account usage. If more connectors were brought in and more visibility feature...
 

Comparisons

 

Also Known As

Integromat
Snowflake Computing, Snowflake Data Cloud
 

Overview

 

Sample Customers

Buan Consulting, Armadia
Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
Find out what your peers are saying about Make vs. Snowflake and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.