No more typing reviews! Try our Samantha, our new voice AI agent.

Postman Enterprise vs Redis comparison

 

Comparison Buyer's Guide

Executive Summary

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
Postman Enterprise boosts productivity by automating API testing, reducing manual efforts, and shortening regression testing time by 50%.
Sentiment score
7.2
Redis enhances ROI by improving performance, reducing costs, increasing productivity, and ensuring reliable, scalable, and efficient service.
Earlier, I took one week for all planning before releasing some activities, which reduced to three days, sometimes to two days, which is about a 50% improvement in engineering efforts, time, and release cycles.
Software Engineer at ValueMomentum
Faster bug detection has helped reduce production issues and rework, improving collaboration and reducing delays between development and QA teams.
SDE 2 at Virtusa
A minimum of 50% time is saved when comparing manual to automation.
Senior QA Manager at a tech services company with 11-50 employees
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
6.0
Postman Enterprise users mostly rely on self-help resources, with mixed reviews on the effectiveness and speed of technical support.
Sentiment score
5.8
Redis is stable and reliable, with helpful support, strong documentation, and often minimal need for direct assistance.
I appreciate the ease of using Postman, especially its desktop version, due to the features it offers such as cookie management and environment synchronization.
Senior developer at Digital world advisory
The documentation, community support, and onboarding resources were especially helpful for quickly resolving common issues.
Software Engineer at ValueMomentum
The response time is generally good for enterprise-level tickets, and the documentation and community resources are helpful for resolving common issues.
SDE 2 at Virtusa
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
7.2
Postman Enterprise is scalable and integrates well with CI/CD, but performance issues exist with large collections.
Sentiment score
7.8
Redis excels in horizontal and vertical scaling, offering clustering, sharding, and compatibility with Azure and AWS for enterprise adaptability.
Features such as shared workspace, role-based access control, governance, private API networks, and organization-level management make it suitable for enterprise collaboration.
Software Engineer at ValueMomentum
Postman does not have database validation available, which affects its scalability.
Automation Architect at Cognizant
Postman Enterprise scales well for larger projects and growing teams, supporting centralized workspace management, team collaborations, role-based access control, SSO, and governance features for enterprise-scale use.
SDE 2 at Virtusa
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
8.1
Postman Enterprise is praised for its stability and reliability in API testing, with occasional minor issues quickly resolved.
Sentiment score
7.8
Redis is stable, handles heavy loads, offers high availability, and uses persistence mechanisms, making it a trusted choice.
I rate it ten out of ten for stability.
Erp Lead at a university with 5,001-10,000 employees
I have not experienced any issues or downtimes.
Full Stack JS(ReactJS/NodeJS) & IBM Integration Bus(IIB) Developer at Eviden France
During the development phase, you will face issues, but once it goes to production, you won't face such issues.
Software engineer 2 at Quantiphi
Redis is fairly stable.
Data Engineer at a photography company with 1,001-5,000 employees
 

Room For Improvement

Postman Enterprise should integrate AI for enhanced mock servers, improved UI, compatibility, automation, and comprehensive testing features.
Redis users face challenges with scalability, GUI, documentation, security, and seek enhancements in monitoring, analytics, and multi-tenancy features.
If that integrates with an IDE, it will be a game changer.
Senior Associate at a tech vendor with 10,001+ employees
Better advanced reporting, deeper analytics for API testing trends, and more simplified governance management for large organizations would also be valuable improvements.
Software Engineer at ValueMomentum
One of the primary challenges with Postman is handling authentication issues, especially relating to tokens and passwords.
Senior developer at Digital world advisory
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

Postman Enterprise offers competitive, user-based pricing with both free and paid plans, ideal for businesses of all sizes.
Redis pricing depends on memory, cluster size, and infrastructure, with higher costs than SQL due to RAM usage.
Postman's pricing model includes a basic free version, which is favorable given the Professional enterprise options offered.
Senior developer at Digital world advisory
Postman is open-source, so the cost is minimal compared to commercial platforms.
Automation Architect at Cognizant
Postman is much cheaper than the other tools.
Senior QA Manager at a tech services company with 11-50 employees
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

Postman Enterprise offers intuitive API testing with automation, collaboration, environment management, and strong debugging and reporting features.
Redis offers low latency, high throughput, and scalability with rich data structures, ideal for real-time applications and caching.
The desktop version's features like cookie management, environment compatibility, security settings, proxy integration, and data synchronization add significant value.
Senior developer at Digital world advisory
It's easy to navigate because tons of documentation and examples are available.
Senior QA Manager at a tech services company with 11-50 employees
Postman's collaboration tools, such as version control and team workspaces, are particularly useful when working with teams of three to four people.
Programmeur-Analyste Research and Development at a computer software company with 501-1,000 employees
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

Postman Enterprise
Ranking in AI Software Development
5th
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
71
Ranking in other categories
API Management (5th), API Monitoring Software (1st), API Testing Tools (1st)
Redis
Ranking in AI Software Development
9th
Average Rating
8.8
Reviews Sentiment
5.9
Number of Reviews
27
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 Postman Enterprise is 0.4%. 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 (%)
Postman Enterprise0.4%
Redis0.5%
Other99.1%
AI Software Development
 

Featured Reviews

RituRaj - PeerSpot reviewer
SDE 2 at Virtusa
Centralized collaboration has transformed API testing and documentation across multiple teams
In terms of improvement, the UI can sometimes feel heavy for larger collections in the workspaces. Additionally, performance may slow down with complex API projects, and pricing can be expensive for smaller teams. However, it is quite suitable for bigger teams. Other areas for improvement include better reporting and analytics dashboards, and more advanced native test environment features could enhance workflow, with smoother offline support and sync handling. Additionally, better performance for very large collections would be helpful, along with more intuitive navigation for enterprise-scale workspaces, stronger reporting analytics, easier management of permissions across large teams, and more flexible automation and testing report options would be beneficial. Small usability and performance improvements would make Postman Enterprise even more efficient for larger organizations. Postman Enterprise needs better performance optimization for large enterprises, more detailed analytics user reporting, improved API governance and audit visibility, simpler permissions and access control management, faster sync and loading times for larger collections, and more advanced built-in testing and reporting capabilities.
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.
report
Use our free recommendation engine to learn which AI Software Development solutions are best for your needs.
902,894 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
8%
Insurance Company
8%
Construction Company
7%
Financial Services Firm
24%
Computer Software Company
10%
Comms Service Provider
6%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business18
Midsize Enterprise13
Large Enterprise44
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise6
Large Enterprise10
 

Questions from the Community

How does Postman compare with Apache JMeter?
Postman lets you easily define variables, which then get updated automatically. This is a huge time-saver and makes processes very efficient. We can also export the test cases we create and share t...
What is your experience regarding pricing and costs for Postman?
When it comes to pricing, setup cost, and licensing, my experience indicates that the pricing is on the higher side, especially for smaller teams and growing organizations. However, enterprise lice...
What needs improvement with Postman?
In terms of improvement, the UI can sometimes feel heavy for larger collections in the workspaces. Additionally, performance may slow down with complex API projects, and pricing can be expensive fo...
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...
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...
 

Also Known As

No data available
Redis Enterprise
 

Overview

 

Sample Customers

PayPal, Shopify, Microsoft, Adobe, Atlassian, Twitter, BestBuy, Coursera
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 Postman Enterprise vs. Redis and other solutions. Updated: June 2026.
902,894 professionals have used our research since 2012.