Make vs Redis comparison

Make and Redis are both solutions in the AI Software Development category. Make is ranked #4 with an average rating of 8.1, while Redis is ranked #9 with an average rating of 8.9. Make holds a 0.5% mindshare in ASD, compared to Redis’s 0.5% mindshare. Additionally, 86% of Make users are willing to recommend the solution, compared to 100% of Redis users who would recommend it.

Make

Read 18 Make reviews

3,642 Views
1,566 Comparison Views

86% willing to recommend

Redis

Read 27 Redis reviews

9,172 Views
917 Comparison Views

100% willing to recommend

Make

Redis

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 15, 2026

Make and Redis are competitive in the automation and data handling sectors, respectively. Based on feature analysis, Make seems to have the advantage in flexibility and integration capabilities, whereas Redis offers exceptional speed and efficiency in data processing.

Features: Make provides a versatile front-end interface supporting low-code automation, extensive platform integrations, and a reliable drag-and-drop design that enhances user productivity. Redis is prized for its in-memory architecture, delivering rapid data access, key-value storage, and high throughput for real-time applications.

Room for Improvement: Make can enhance user experience by reducing load times and simplifying complex technical processes. Redis could improve through enhanced fault tolerance, expansion of GUI tools, and comprehensive scalability guides. Both would benefit from pricing flexibility and improved security documentation.

Ease of Deployment and Customer Service: Make offers comprehensive user support and dedicated assistance, excelling in integration issue resolutions. Redis benefits from community-driven support and provides robust instructions via forums, though direct assistance and advanced tools might be limited.

Pricing and ROI: Make offers a cost-effective solution with strong ROI improvements due to its productivity enhancements in automation. Redis, being open-source, minimizes direct costs and offers substantial ROI through its performance benefits and absence of licensing fees, proving cost-effective.

To learn more, read our detailed Make vs. Redis Report (Updated: June 2026).

Buyer's Guide

Make vs. Redis

June 2026

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Helped 902,894 peers since 2012

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

6.0

Automation enhances efficiency, cuts labor costs by 50%, boosts ROI, and saves time on reporting, content, and CRM tasks.

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.

Maria Ruminjo

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.

Basuraj Basuraj

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.

reviewer2810973

Founder

For more quotes and insights, download the Make report

It improved API latency from two seconds to 450 milliseconds for P99.

Varuns Ug

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.

RituRaj

SDE 2 at Virtusa

For more quotes and insights, download the Redis report

Customer Service

Sentiment score

5.5

Make's responsive customer support and abundant self-help resources efficiently resolve user issues, fostering an active, supportive community.

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.

Farhan Ahmed Sheikh

Chief Executive Officer at Ashtex Solutions

They were doing the best job for my use cases and my problems.

Dinesh Lavu

When I had a problem during the pricing payment, the customer support handled it very well.

Shaik Nayab Rasool

Freelancer at a consultancy with 11-50 employees

For more quotes and insights, download the Make report

The documentation and community support for Redis are very strong, making troubleshooting quicker.

Varuns Ug

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.

RituRaj

SDE 2 at Virtusa

For more quotes and insights, download the Redis report

Scalability Issues

Sentiment score

5.5

Make is scalable and effective for complex workflows, but pricing and workflow setup can challenge some users.

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.

Avi Cherny

Automation Engineer at a tech services company with 501-1,000 employees

It can handle increasing workloads or more complex automations easily, but I need to set up each and every component carefully.

Vikrant Patil

Student at Raisoni Group

Make's scalability is very good, and if the pricing were lower, I could scale a lot more.

Basuraj Basuraj

Founder at WebEase

For more quotes and insights, download the Make report

Data migration and changes to application-side configurations are challenging due to the lack of automatic migration tools in a non-clustered legacy system.

reviewer2005650

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.

Varuns Ug

Senior Software Developer at NIT

With features such as clustering and replication, it can handle high traffic and a large database very effectively.

RituRaj

SDE 2 at Virtusa

For more quotes and insights, download the Redis report

Stability Issues

Sentiment score

7.3

Make is mostly stable and reliable for users, with occasional minor bugs and issues that don't hinder overall performance.

Sentiment score

7.8

Redis is stable, handles heavy loads, offers high availability, and uses persistence mechanisms, making it a trusted choice.

No quotes available

For more quotes and insights, download the Make report

Redis is fairly stable.

reviewer2005650

Data Engineer at a photography company with 1,001-5,000 employees

For more quotes and insights, download the Redis report

Room For Improvement

Users seek enhanced developer-friendliness, integrations, documentation, pricing, ease of use, security, stability, support tools, and customization.

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.

Farhan Ahmed Sheikh

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.

Kozykorpesh Tolep

software engineer at a non-tech company with 1,001-5,000 employees

The lagging problem needs to be solved.

Anuj Tiwari

Gtm Operator, Lead Generator at 404Minds Technologies

For more quotes and insights, download the Make report

Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active.

reviewer2005650

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.

Ravi Raushan Kumar

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.

Varuns Ug

Senior Software Developer at NIT

For more quotes and insights, download the Redis report

Setup Cost

Make's pricing is affordable and flexible, with options like Docker solutions, making it cost-effective compared to competitors.

Redis pricing depends on memory, cluster size, and infrastructure, with higher costs than SQL due to RAM usage.

Licensing was affordable.

Maria Ruminjo

Network Engineer at AT&T

I found a solution that allows me to use Make almost for free, just using the Docker on-premises.

Avi Cherny

Automation Engineer at a tech services company with 501-1,000 employees

It's cost-effective and it's pocket-friendly.

Dinesh Lavu

For more quotes and insights, download the Make report

Since we use an open-source version of Redis, we do not experience any setup costs or licensing expenses.

reviewer2005650

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.

Varuns Ug

Senior Software Developer at NIT

The pricing is reasonable for the performance provided.

RituRaj

SDE 2 at Virtusa

For more quotes and insights, download the Redis report

Valuable Features

Make's intuitive interface and integrations boost efficiency and productivity, saving time and reducing manual tasks with seamless automation.

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.

Maria Ruminjo

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.

Kozykorpesh Tolep

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.

Ajay Singh Goyal

Executive at Core Jobs

For more quotes and insights, download the Make report

It functions similarly to a foundational building block in a larger system, enabling native integration and high functionality in core data processes.

reviewer2005650

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.

Ravi Raushan Kumar

Software Engineer at ValueMomentum

Real API latency improved from around two seconds to approximately 450 milliseconds for P99.

Varuns Ug

Senior Software Developer at NIT

For more quotes and insights, download the Redis report

Categories and Ranking

Make

Ranking in AI Software Development

4th

Average Rating

8.0

Reviews Sentiment

5.5

Number of Reviews

Ranking in other categories

Process Automation (6th)

Redis

Ranking in AI Software Development

9th

Average Rating

8.8

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

NoSQL Databases (3rd), Managed NoSQL Databases (6th), In-Memory Data Store Services (1st), Vector Databases (3rd)

Mindshare comparison

As of July 2026, in the AI Software Development category, the mindshare of Make is 0.5%, up from 0.2% 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
Product	Mindshare (%)
Make	0.5%
Redis	0.5%
Other	99.0%

AI Software Development

Featured Reviews

Dinesh Lavu

Automation workflows have saved time and have reduced manual work for my client projects

Most of what I learned about Make is mainly from the templates only. Anything that I tried to do, I try to see who has done it already and try to understand and rebuild it. When I'm trying to build some workflows, there's a chatbot component. When I ask for something, it helps me in that. Or if I get a bug that I'm finding difficult to debug or understand the use case or the log, it clearly explains it to me and sometimes it advises me to do certain things, so that it's easy for me to fix it. One area for improvement is an auto-building feature. Another is how n8n has a chatbot completion where you can bring some LLMs into the workflow and integrating Ollama and all of that is something I felt is really needed for Make also.

Read full review

Varuns Ug

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.

Read full review

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Top Industries

By visitors reading reviews

Outsourcing Company

15%

Educational Organization

14%

Manufacturing Company

10%

Construction Company

Financial Services Firm

24%

Computer Software Company

10%

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	14
Midsize Enterprise	1
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	6
Large Enterprise	10

Questions from the Community

What is your experience regarding pricing and costs for Make?

Regarding my experience with pricing, setup costs, and licensing for Make, I would add that they need to provide a dark mode because the UI is in light mode. I remember that when I was working late...

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What needs improvement with Make?

I think there are improvements needed for Make. They could add a guide roadmap for beginners to make it more accessible. While Make is easy to use, there is always room for improvement. There are m...

See all answers

What is your primary use case for Make?

My main use case for Make involves automating social media content creation and personalized content creation for my social profile like Instagram.

See all answers

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...

See all answers

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...

See all answers

What advice do you have for others considering Redis?

My main advice for those looking into using Redis is to focus on the use case; Redis excels where low latency is critical, such as caching, session management, or real-time features, rather than us...

See all answers

Comparisons

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Compared 14% of the time

Pega Platform vs Make

Compared 13% of the time

Appian vs Make

Compared 12% of the time

Nintex Process Platform vs Make

Compared 12% of the time

Zapier vs Make

Compared 11% of the time

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Upstash vs Redis

Compared 5% of the time

Hazelcast Platform vs Redis

Compared 5% of the time

Oracle Coherence vs Redis

Compared 5% of the time

Azure Cache for Redis vs Redis

Compared 5% of the time

MongoDB Enterprise Advanced vs Redis

Compared 4% of the time

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Product Reports

Buyer's Guide

Make

June 2026

Download Make product report

Buyer's Guide

Redis

June 2026

Download Redis product report

Also Known As

Integromat

Redis Enterprise

Overview

Make is a robust automation platform that streamlines workflows, connecting apps to enhance productivity. Tailored for tech-savvy users, it offers dynamic automation solutions that optimize processes and facilitate seamless integration of disparate systems.

At its core, Make empowers businesses to automate tasks through an intuitive builder with drag-and-drop capabilities. Ideal for professionals who need to integrate systems efficiently, it supports a wide range of applications, aiding in the creation of complex workflows without the need for extensive coding. Users value its adaptability, making it a popular choice for enhancing operational efficiency.

What features does Make offer?

Visual Workflow Builder: Create and edit workflows effortlessly with a friendly interface.
App Integration: Supports numerous apps, enabling diverse connections.
Real-Time Monitoring: Track workflow executions with precise analytics.
Conditional Logic: Implement logic paths for smarter automations.

What benefits can users expect from Make?

Increased Efficiency: Automating tasks reduces manual intervention, saving time.
Cost Reduction: Lower operational costs with streamlined processes.
Scalable Solutions: Easily adjust workflows to meet growing business demands.
Enhanced Productivity: Focus on high-priority tasks with automated operations.

In industries like retail and technology, Make has become essential for automating inventory management, order processing, and customer relationship tasks. Companies leverage its capacity to connect multiple databases, CRM systems, and sales platforms, driving growth and operational excellence.

Make

Redis offers high-speed, in-memory storage, renowned for real-time performance. It supports quick data retrieval and is used commonly in applications like analytics and gaming.

Renowned for real-time performance, Redis delivers high-speed in-memory storage, making it a favorite for applications needing quick data retrieval. Its diverse data structures and caching capabilities support a broad array of use cases, including analytics and gaming. Redis ensures robust scalability with master-slave replication and clustering, while its publish/subscribe pattern renders it reliable for event-driven applications. The solution integrates smoothly with existing systems, minimizing performance tuning needs. Although documentation on scalability and security could be improved, Redis remains cost-effective and stable, commonly utilized in cloud environments. Enhancing integration with cloud services like AWS and Google Cloud and refining GUI may improve usability.

What are the key features of Redis?

High Speed: In-memory data storage for swift access.
Scalability: Master-slave replication and clustering for growth.
Data Structures: Supports diverse types for varied uses.
Persistence: RDB snapshots and AOF logs ensure durability.
Integration: Seamless integration reduces tuning efforts.

What should users look for in Redis reviews?

Performance: Real-time data retrieval boosts efficiency.
Cost-Effectiveness: Stable, budget-friendly implementation.
Versatility: Suitable for diverse environments and platforms.
Reliability: Ensures data persistence and high availability.

Redis finds application across industries for tasks like caching to improve application performance and speed, minimizing database load. It enables real-time processing for session storage, push notifications, and analytics. As a messaging platform, Redis handles high traffic and supports replication and clustering for cross-platform scalability.

Redis

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

Buyer's Guide

Make vs. Redis

June 2026

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