

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.
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.
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.
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.
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.
We have escalated a few issues that we faced during some integrations, and we received reasonable responses from Make support.
They were doing the best job for my use cases and my problems.
When I had a problem during the pricing payment, the customer support handled it very well.
The documentation and community support for Redis are very strong, making troubleshooting quicker.
Since Redis is quite stable and well-documented, we have not needed much support, but when required, the response has been helpful.
When you have an error, it is very hard to do error handling and debugging.
Make's scalability is very good, and if the pricing were lower, I could scale a lot more.
Whenever a new task comes to mind, I think about automating it with Make, which is good.
Data migration and changes to application-side configurations are challenging due to the lack of automatic migration tools in a non-clustered legacy system.
I scale Redis horizontally using clustering and sharding, where data is distributed across multiple nodes to handle higher traffic and larger data sets.
With features such as clustering and replication, it can handle high traffic and a large database very effectively.
Redis is fairly stable.
There should be clarity about whether the data is secure while passing through these automations or integrations created within Make.
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.
The lagging problem needs to be solved.
Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active.
Redis itself does not enforce consistency with the primary database, so developers need to carefully design cache invalidation strategies.
One issue is cache invalidation. Keeping cache data consistent with the source of truth can be tricky, especially in distributed systems.
Licensing was affordable.
I found a solution that allows me to use Make almost for free, just using the Docker on-premises.
It's cost-effective and it's pocket-friendly.
Since we use an open-source version of Redis, we do not experience any setup costs or licensing expenses.
The costs are primarily driven by memory consumption and cluster size, since Redis operates in-memory.
The pricing is reasonable for the performance provided.
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.
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.
The task that I would complete in a span of one day is completed in a matter of minutes by using Make.
It functions similarly to a foundational building block in a larger system, enabling native integration and high functionality in core data processes.
First is its in-memory preference, as Redis is extremely fast, making it ideal for caching and session management where low latency is critical.
Real API latency improved from around two seconds to approximately 450 milliseconds for P99.
| Product | Mindshare (%) |
|---|---|
| Make | 0.7% |
| Redis | 0.5% |
| Other | 98.8% |

| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 6 |
| Large Enterprise | 10 |
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?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.
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?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.
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