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Make vs Redis comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 2026

Review summaries and opinions

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

ROI

Sentiment score
5.8
Using Make, businesses achieved up to 500% returns through automation, reducing labor costs and enhancing operational efficiency.
Sentiment score
7.2
Redis enhances ROI by improving performance, reducing costs, increasing productivity, and ensuring reliable, scalable, and efficient service.
I have indeed seen a return on investment as it has saved us hundreds of hours in repetitive tasks, streamlining our follow-up to the leads that we are generating.
Network Engineer at AT&T
I implemented a booking system for my client that previously required data to be entered directly into Google Sheets and reminders to be sent manually; using Make, they have saved about 50% of their time, which equals one labor resource, translating to a significant amount of money saved.
Founder at WebEase
With that extra time each month, I could focus more on sales and upscaling my business, so it is really worth it.
It improved API latency from two seconds to 450 milliseconds for P99.
Senior Software Developer at NIT
We reduced the database read load by around 30 to 40 percent and improved API response time by 20 to 30 percent, specifically for frequently accessed endpoints.
SDE 2 at Virtusa
 

Customer Service

Sentiment score
5.4
Make offers efficient customer support with quick responses, helpful forums, effective documentation, and a reliable chatbot for inquiries.
Sentiment score
5.8
Redis is stable and reliable, with helpful support, strong documentation, and often minimal need for direct assistance.
We have escalated a few issues that we faced during some integrations, and we received reasonable responses from Make support.
Chief Executive Officer at Ashtex Solutions
They were doing the best job for my use cases and my problems.
Bubble.Io | Xano | No Code | Mba | Make | Zapier | Full Stack at Indian Railways
When I had a problem during the pricing payment, the customer support handled it very well.
Freelancer at a consultancy with 11-50 employees
The documentation and community support for Redis are very strong, making troubleshooting quicker.
Senior Software Developer at NIT
Since Redis is quite stable and well-documented, we have not needed much support, but when required, the response has been helpful.
SDE 2 at Virtusa
 

Scalability Issues

Sentiment score
5.4
Make is praised for scalability and ease, but enterprise pricing and complex workflow errors challenge extensive scaling.
Sentiment score
7.8
Redis excels in horizontal and vertical scaling, offering clustering, sharding, and compatibility with Azure and AWS for enterprise adaptability.
When you have an error, it is very hard to do error handling and debugging.
Automation Engineer at MyDubai.io
Make's scalability is very good, and if the pricing were lower, I could scale a lot more.
Founder at WebEase
Whenever a new task comes to mind, I think about automating it with Make, which is good.
Gtm Operator, Lead Generator at 404Minds Technologies
Data migration and changes to application-side configurations are challenging due to the lack of automatic migration tools in a non-clustered legacy system.
Data Engineer at a photography company with 1,001-5,000 employees
I scale Redis horizontally using clustering and sharding, where data is distributed across multiple nodes to handle higher traffic and larger data sets.
Senior Software Developer at NIT
With features such as clustering and replication, it can handle high traffic and a large database very effectively.
SDE 2 at Virtusa
 

Stability Issues

Sentiment score
7.2
Make is mostly stable and reliable, with few minor issues, and is often used alongside Zapier for effectiveness.
Sentiment score
7.8
Redis is stable, handles heavy loads, offers high availability, and uses persistence mechanisms, making it a trusted choice.
Redis is fairly stable.
Data Engineer at a photography company with 1,001-5,000 employees
 

Room For Improvement

Make needs better API integration, pricing, debugging, usability, and developer features, plus increased free limits for improved user experience.
Redis users face challenges with scalability, GUI, documentation, security, and seek enhancements in monitoring, analytics, and multi-tenancy features.
There should be clarity about whether the data is secure while passing through these automations or integrations created within Make.
Chief Executive Officer at Ashtex Solutions
I would love to have more detailed logs, step-by-step error tracing, and better visualization of failed executions, as I think it would improve the user experience significantly.
software engineer at a non-tech company with 1,001-5,000 employees
The lagging problem needs to be solved.
Gtm Operator, Lead Generator at 404Minds Technologies
Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active.
Data Engineer at a photography company with 1,001-5,000 employees
Redis itself does not enforce consistency with the primary database, so developers need to carefully design cache invalidation strategies.
Software Engineer at ValueMomentum
One issue is cache invalidation. Keeping cache data consistent with the source of truth can be tricky, especially in distributed systems.
Senior Software Developer at NIT
 

Setup Cost

Make offers affordable pricing compared to Zapier, valued for time savings and streamlined automation, with manageable enterprise setup costs.
Redis pricing depends on memory, cluster size, and infrastructure, with higher costs than SQL due to RAM usage.
Licensing was affordable.
Network Engineer at AT&T
I found a solution that allows me to use Make almost for free, just using the Docker on-premises.
Automation Engineer at MyDubai.io
It's cost-effective and it's pocket-friendly.
Bubble.Io | Xano | No Code | Mba | Make | Zapier | Full Stack at Indian Railways
Since we use an open-source version of Redis, we do not experience any setup costs or licensing expenses.
Data Engineer at a photography company with 1,001-5,000 employees
The costs are primarily driven by memory consumption and cluster size, since Redis operates in-memory.
Senior Software Developer at NIT
The pricing is reasonable for the performance provided.
SDE 2 at Virtusa
 

Valuable Features

The platform offers a no-code interface, integrations, and automation, boosting efficiency and accessibility for all user levels.
Redis offers low latency, high throughput, and scalability with rich data structures, ideal for real-time applications and caching.
Make has positively impacted my organization by enabling us to solve use cases for hundreds of clients across hundreds of different platforms, providing the customization capabilities to automate accounting and invoicing processes that save dozens of man-hours a month, and allowing us to build custom churn, retention, and engagement costs that have driven a 30% reduction in churn.
Network Engineer at AT&T
Instead of spending several days implementing and testing API integrations inside our FastAPI back end, I was able to build the workflows in a few hours using Make.
software engineer at a non-tech company with 1,001-5,000 employees
The task that I would complete in a span of one day is completed in a matter of minutes by using Make.
Executive at Core Jobs
It functions similarly to a foundational building block in a larger system, enabling native integration and high functionality in core data processes.
Data Engineer at a photography company with 1,001-5,000 employees
First is its in-memory preference, as Redis is extremely fast, making it ideal for caching and session management where low latency is critical.
Software Engineer at ValueMomentum
Real API latency improved from around two seconds to approximately 450 milliseconds for P99.
Senior Software Developer at NIT
 

Categories and Ranking

Make
Ranking in AI Software Development
4th
Average Rating
8.0
Reviews Sentiment
5.4
Number of Reviews
17
Ranking in other categories
Process Automation (6th)
Redis
Ranking in AI Software Development
13th
Average Rating
8.8
Reviews Sentiment
5.9
Number of Reviews
26
Ranking in other categories
NoSQL Databases (4th), Managed NoSQL Databases (6th), In-Memory Data Store Services (1st), Vector Databases (4th)
 

Mindshare comparison

As of May 2026, in the AI Software Development category, the mindshare of Make is 0.7%, down from 1.3% compared to the previous year. The mindshare of Redis is 0.5%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Software Development Mindshare Distribution
ProductMindshare (%)
Make0.7%
Redis0.5%
Other98.8%
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.
Varuns Ug - PeerSpot reviewer
Senior Software Developer at NIT
Caching has accelerated complex workflows and delivers low latency for high-traffic microservices
A few features of Redis that I use on a day-to-day basis and feel are among the best are extremely low latency and high throughput. Since Redis is in-memory, it makes it ideal for cases such as caching and rate limiting where response time is critical. TTL expiry support is very useful in Redis as it allows me to automatically evict stale data without manual cleanup, which is something I use heavily in my caching strategy. Another point I can mention is that the rich data structures such as strings, hashes, and even sorted sets are very powerful. I have used strings for caching responses and counters, whereas I have used hashes for storing structured objects. One more feature I can tell you about is atomic operations. Redis guarantees atomicity for operations such as incrementing a counter, which is very useful for rate limiting and avoiding race conditions in distributed systems. Finally, I want to emphasize that Redis is easy to scale and integrate, whether through clustering or using a distributed cache across microservices. Redis has impacted my organization positively by providing default support that is very useful. For metrics, in one of my core systems, introducing Redis as a distributed cache helped me achieve around an 80% cache hit rate, which reduced repeated downstream services. Real API latency also improved from around two seconds to approximately 450 milliseconds for P99. It also helped reduce the load on dependent services and databases, which improved overall system reliability.
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Educational Organization
10%
Non Tech Company
9%
Construction Company
8%
Financial Services Firm
24%
Computer Software Company
10%
Comms Service Provider
7%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise1
Large Enterprise6
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise6
Large Enterprise10
 

Questions from the Community

What is your experience regarding pricing and costs for Make?
Earlier I used to spend too much time understanding the insights from my projects. Now I only spend four to five hours, but I can get everything in one hour or even 30 seconds. It's easy. After one...
What needs improvement with Make?
Sometimes the platform is too laggy and loads slowly. The credits are also getting used up too quickly, which takes too much credit. If the credits could be reduced, that would be more efficient. T...
What is your primary use case for Make?
I'm using Make for integration with GoHighLevel, which is a CRM tool. I integrate data from Google Sheets or the GHL CRM to automate repetitive tasks. I use Make nearly every day for whatever task ...
What do you like most about Redis?
Redis is better tested and is used by large companies. I haven't found a direct alternative to what Redis offers. Plus, there are a lot of support and learning resources available, which help you u...
What needs improvement with Redis?
Overall, Redis is a powerful and reliable tool, but there are a few areas for improvement. One limitation is that Redis is memory-based, so scaling can become expensive compared to disk-based syste...
What is your primary use case for Redis?
My main use case for Redis is caching frequently accessed data to improve performance and reduce database load. For example, I cache API responses and user-related data so that repeated requests ca...
 

Comparisons

 

Also Known As

Integromat
Redis Enterprise
 

Overview

 

Sample Customers

Buan Consulting, Armadia
1. Twitter 2. GitHub 3. StackOverflow 4. Pinterest 5. Snapchat 6. Craigslist 7. Digg 8. Weibo 9. Airbnb 10. Uber 11. Slack 12. Trello 13. Shopify 14. Coursera 15. Medium 16. Twitch 17. Foursquare 18. Meetup 19. Kickstarter 20. Docker 21. Heroku 22. Bitbucket 23. Groupon 24. Flipboard 25. SoundCloud 26. BuzzFeed 27. Disqus 28. The New York Times 29. Walmart 30. Nike 31. Sony 32. Philips
Find out what your peers are saying about Make vs. Redis and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.