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Redis mindshare

As of December 2025, the mindshare of Redis in the In-Memory Data Store Services category stands at 23.1%, up from 12.8% compared to the previous year, according to calculations based on PeerSpot user engagement data.
In-Memory Data Store Services Market Share Distribution
ProductMarket Share (%)
Redis23.1%
Amazon ElastiCache19.8%
Google Cloud Memorystore15.7%
Other41.39999999999999%
In-Memory Data Store Services

PeerResearch reports based on Redis reviews

TypeTitleDate
ProductReviews, tips, and advice from real usersDec 29, 2025Download
ComparisonRedis vs Oracle CoherenceDec 29, 2025Download
Suggested products
TitleRatingMindshareRecommending
PostgreSQL4.2N/A96%125 interviewsAdd to research
Elastic Search4.1N/A97%82 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business9
Midsize Enterprise3
Large Enterprise8
By reviewers
By visitors reading reviews
Company SizeCount
Small Business171
Midsize Enterprise107
Large Enterprise445
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
26%
Computer Software Company
11%
Comms Service Provider
7%
University
7%
Educational Organization
5%
Manufacturing Company
4%
Healthcare Company
4%
Government
4%
Retailer
3%
Media Company
3%
Outsourcing Company
2%
Insurance Company
2%
Legal Firm
2%
Hospitality Company
2%
Performing Arts
2%
Transportation Company
2%
Non Profit
1%
Consumer Goods Company
1%
Construction Company
1%
Energy/Utilities Company
1%
Wholesaler/Distributor
1%
Pharma/Biotech Company
1%
Recreational Facilities/Services Company
1%
Marketing Services Firm
1%
Real Estate/Law Firm
1%
Aerospace/Defense Firm
1%
Leisure / Travel Company
1%
Logistics Company
1%

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Learn more about Redis

Redis customers

 
Redis Reviews Summary
Author infoRatingReview Summary
Data Engineer at a photography company with 1,001-5,000 employees3.5We use Redis for tasks like ranking and caching in AI projects due to its reliability and integration capabilities. Although valuable, improvements are needed in areas like pub-sub optimization and data migration, with concerns about licensing and community engagement.
Database Admin and Architect at D-EDGE Hospitality Solutions5.0I've found Redis to be fast, simple to implement, and efficient for caching session data, saving about 40% in performance tuning time, though managing clusters is a bit challenging and support could be better.
.Net Developer at Freelance4.5I use Redis to boost web application performance by caching data and managing sessions efficiently. It offers fast read/write operations, diverse data structures, and scalability. We switched from a traditional database to enhance speed, versatility, and reliability.
Software Architect at Yum! Brands4.0I use Redis primarily as a caching layer due to its fast data fetching and saving capabilities. While it excels in speed and structure, its single-threaded nature and limited data model support make it expensive for large datasets.
Software Engineer at Medflix4.0We use Redis primarily for real-time applications like live quizzes, where its performance surpasses traditional databases. While price could improve, Redis is unmatched and well-supported, despite having used PostgreSQL, Cassandra, MySQL, and Elasticsearch for different purposes.
Student at Otto-von-Guericke-Universitaet4.0I used Redis for a college project and found it stable, fast, and suitable for cloud-based tasks. However, it could improve in handling local data. I also considered Firest, Crontabee, and Cosmodb, finding Firest more fitting for my needs.
R&D Director at a tech vendor with 201-500 employees4.5In my workplace, we use Redis for managing caches and queues and as a registry. It offers easy setup and PubSub features. However, it lacks fault tolerance and high availability, unlike commercial solutions. Redis is simpler than Memcached and Aerospike.
Head of Platforms at Shalion5.0I primarily use Redis through AWS as a cache for fast retrieval of files and URLs, benefiting from its simplicity, high availability, and reliability. However, AWS could improve by offering more server types or configurable memory options.