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

4,089 Views
1,840 Comparison Views

86% willing to recommend

Redis

Read 26 Redis reviews

9,943 Views
1,193 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 909,725 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

7.3

Redis boosts performance and reduces costs, enhancing API latency and productivity while allowing focus on feature development.

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

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

We have seen a positive return on investment from using Redis, mainly through improved application performance, reduced database load, and lower operational overhead.

reviewer2870445

Senior Software Engineer at a consultancy with 1-10 employees

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

6.4

Redis users rarely need support due to stability, relying on documentation and community, with mixed experiences reported.

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

By simply referring to their documentation, we have been able to fix our bugs and general issues.

reviewer2870445

Senior Software Engineer at a consultancy with 1-10 employees

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 scalability and efficiency, handling high traffic with clustering and sharding, benefiting enterprise application demands.

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.

reviewer2816820

Developer at a educational organization with 51-200 employees

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

The in-memory architecture provides consistently low-latency access even as data access patterns and request volume increase.

reviewer2870445

Senior Software Engineer at a consultancy with 1-10 employees

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

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

7.9

Redis is lauded for its stability, reliable caching performance, and robust architecture, supported by strong community and managed services.

No quotes available

For more quotes and insights, download the Make report

Redis has consistently provided fast and predictable performance, particularly for caching and high-frequency data access scenarios.

reviewer2870445

Senior Software Engineer at a consultancy with 1-10 employees

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 seek improvements in cache management, user interface, observability, scalability, security setup, and cloud integrations for enhanced usability.

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

Making security features and enterprise governance capabilities easier to configure out of the box would help organizations adopt Redis more confidently for larger and more critical workloads.

reviewer2870445

Senior Software Engineer at a consultancy with 1-10 employees

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 is very reliable, but it could be improved in areas such as monitoring, debugging, and feasibility into memory use.

RituRaj

SDE 2 at Virtusa

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.

Enterprise Redis costs vary by deployment model, with self-managed being cost-effective and cloud services charging for memory 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

The main value comes from the performance improvements, reduced database load, and increased scalability that Redis provides.

reviewer2870445

Senior Software Engineer at a consultancy with 1-10 employees

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 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 is preferred for speed and reliability, offering low latency, high throughput, and efficient scaling with minimal configuration.

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

By offloading frequent reads from the database and enabling fast in-memory cache access, it reduced latency, improved throughput, and helped maintain stability during peak loads.

RituRaj

SDE 2 at Virtusa

The most valuable features include high-speed in-memory data access, flexible data structures, caching capabilities, data expiration and time-to-live management, high availability and scalability, and atomic operations.

reviewer2870445

Senior Software Engineer at a consultancy with 1-10 employees

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

6.6

Number of Reviews

Ranking in other categories

NoSQL Databases (3rd), Managed NoSQL Databases (5th), In-Memory Data Store Services (1st), Vector Databases (3rd)

Mindshare comparison

As of August 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

RituRaj

SDE 2 at Virtusa

Caching has improved response times and reduces database load for high-traffic applications

Redis is very reliable, but it could be improved in areas such as monitoring, debugging, and feasibility into memory use. Better built-in tools for observability would help teams manage it more effectively at scale. Managing memory efficiently and troubleshooting issues can sometimes require additional tooling, so these areas can also be improved.One practical challenge I experienced is managing memory efficiently. Since Redis is in-memory, we need to carefully configure eviction policies and monitor usage. Debugging cache-related issues such as stale data or cache invalidation can sometimes be tricky. Additionally, tuning memory usage and eviction policies needs to be planned very carefully.

Read full review

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Top Industries

By visitors reading reviews

Outsourcing Company

15%

Educational Organization

13%

Manufacturing Company

10%

Construction Company

10%

Financial Services Firm

22%

Computer Software Company

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	13
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?

Making management easier, especially for teams operating large Redis clusters, would be helpful. More advanced built-in observability, performance insights, and automated recommendations would help...

See all answers

What is your primary use case for Redis?

Redis is used primarily as a caching layer to provide a high-performance caching solution that improves application response times and reduces load on backend services and databases. We use it main...

See all answers

What advice do you have for others considering Redis?

There are a couple of things to consider when using Redis. It is a supporting layer, not a main database. Identifying specific use cases where Redis can provide the most value, such as caching, ses...

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Comparisons

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Compared 13% of the time

Pega Platform vs Make

Compared 12% of the time

Appian vs Make

Compared 12% of the time

Zapier vs Make

Compared 12% of the time

Nintex Process Platform vs Make

Compared 10% of the time

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MongoDB Enterprise Advanced vs Redis

Compared 5% of the time

Azure Cache for Redis vs Redis

Compared 5% of the time

Hazelcast Platform vs Redis

Compared 4% of the time

Oracle Coherence vs Redis

Compared 4% of the time

Upstash vs Redis

Compared 4% of the time

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Product Reports

Buyer's Guide

Make

August 2026

Download Make product report

Buyer's Guide

Redis

August 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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