IBM Cloud Databases for Redis vs Redis comparison

IBM and Redis are both solutions in the In-Memory Data Store Services category. IBM is ranked #9, while Redis is ranked #1 with an average rating of 8.8. IBM holds a 2.5% mindshare in IMDS, compared to Redis’s 23.1% mindshare. Additionally, 100% of Redis users are willing to recommend the solution.

IBM Cloud Databases for Redis

Read 1 IBM Cloud Databases for Redis review

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154 Comparison Views

0% willing to recommend

Redis

Read 23 Redis reviews

5,005 Views
851 Comparison Views

100% willing to recommend

IBM Cloud Databases for Redis

Redis

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Executive SummaryUpdated on Dec 14, 2025

IBM Cloud Databases for Redis and Redis are competitive key-value store solutions for caching and real-time analytics. IBM Cloud Databases for Redis holds an advantage in management and scalability, while Redis leads with flexibility and advanced features.

Features: IBM Cloud Databases for Redis offers simplified management, automated backups, and scaling options. Redis is noted for its extensive data structures, module support, and in-memory performance capabilities.

Ease of Deployment and Customer Service: IBM Cloud Databases for Redis simplifies deployment through a managed service approach and provides reliable support reducing administrative work. Redis requires manual setup and ongoing management but benefits from a robust technical community offering substantial peer support.

Pricing and ROI: IBM Cloud Databases for Redis incorporates a cost structure with built-in support and operational benefits. Redis as an open-source solution has lower initial costs but demands investment in infrastructure and expertise. IBM may have higher upfront costs, yet its managed services can lead to favorable ROI for those valuing reduced administrative burdens, whereas Redis offers return through its flexibility and high performance.

To learn more, read our detailed Oracle Coherence vs. Redis Report (Updated: December 2025).

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Oracle Coherence vs. Redis

December 2025

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Review summaries and opinions

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

Categories and Ranking

IBM Cloud Databases for Redis

Ranking in In-Memory Data Store Services

9th

Average Rating

1.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Redis

Ranking in In-Memory Data Store Services

1st

Average Rating

8.8

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

NoSQL Databases (5th), Managed NoSQL Databases (9th), Vector Databases (3rd), AI Software Development (17th)

Mindshare comparison

As of January 2026, in the In-Memory Data Store Services category, the mindshare of IBM Cloud Databases for Redis is 2.5%, up from 0.5% compared to the previous year. The mindshare of Redis is 23.1%, up from 12.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

In-Memory Data Store Services Market Share Distribution
Product	Market Share (%)
Redis	23.1%
IBM Cloud Databases for Redis	2.5%
Other	74.4%

In-Memory Data Store Services

Featured Reviews

Prasoon Gupta

Senior Cloud Devops Engineer at Robu.in Affiliate

Has caused ongoing issues due to contract inflexibility and lack of support

This solution is not integrated into our website. They asked us to take technical support from a third-party company, which we paid for in addition to paying IBM Cloud Databases for Redis. After several months, it became apparent that there was a technical fault and the solution was not implementable. IBM Cloud Databases for Redis promised support, guarantees, and solutions, but they did not deliver on any of these promises. Their solution is not implementable on our website. We paid money for something which is freely available in the market, and the paid version is not worth the cost. They also refused to cancel the agreement. This solution later became open source, yet we are paying for something that is freely available.

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reviewer2005650

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

Optimize AI projects with reliable data processing while addressing scaling challenges

There are a few areas where Redis could improve. The pub-sub capabilities could be optimized to handle network sessions better, as there are challenges with maintaining sessions between clients and systems. Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active. There's a need for better migration tools to support data movements in a hybrid environment. Concerns exist about licensing and community engagement due to changes in Redis and its forks.

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

26%

Computer Software Company

11%

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	3
Large Enterprise	8

Questions from the Community

What needs improvement with IBM Cloud Databases for Redis?

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What is your primary use case for IBM Cloud Databases for Redis?

IBM Cloud Databases for Redis is a caching solution for our e-commerce company. The solution can be implemented on websites to reduce page loading time and improve website performance, which is why...

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What advice do you have for others considering IBM Cloud Databases for Redis?

They are simply selling false hope to customers, and their solution is neither feasible nor integratable. The solution is very expensive. The pricing is very high while the quality is very poor. I ...

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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...

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What needs improvement with Redis?

The disadvantage of Redis is that it's a little bit hard to have too many clusters or too many nodes and create the clusters. The sync between the nodes is easier to implement with Couchbase, for e...

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What is your primary use case for Redis?

Redis is used for a part of a booking engine for travel, specifically for the front part to get some sessions and information about the sessions. If a customer or user is using the sites in differe...

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Comparisons

Amazon ElastiCache vs IBM Cloud Databases for Redis

Compared 57% of the time

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Compared 8% of the time

Red Hat Data Grid vs Redis

Compared 8% of the time

Upstash vs Redis

Compared 6% of the time

Chroma vs Redis

Compared 6% of the time

ScyllaDB vs Redis

Compared 5% of the time

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Product Reports

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Buyer's Guide

Redis

December 2025

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Also Known As

No data available

Redis Enterprise

Overview

Databases for Redis gives two Redis instances—a master and a replica member—with Redis sentinels monitoring both. Accessing the database is managed through a single Kubernetes Nodeport, behind which one or more HAProxy instances handle all the traffic. It’s the HAProxy instances that manage to which we’ve added support for TLS/SSL encryption for incoming connections to the Redis server—something Redis doesn’t do out-of-the-box currently.

IBM

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

Information Not Available

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

See our list of best In-Memory Data Store Services vendors.

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