Blazing performance, excellent stability, and really nothing to dislike make Redis a must look at solution
Redis is being leveraged to address big data, temporal data and session state challenges across the software stack. New opportunities to …
Starting at $388 per month
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What is Redis™*?
Redis is an open source in-memory data structure server and NoSQL database.
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Popular Features
- Performance (69)10.0100%
- Scalability (69)9.494%
- Availability (69)9.090%
- Concurrency (68)9.090%
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Pricing
Cloud
$388.00
On Premise
per month
Entry-level set up fee?
- Setup fee optional
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- Free/Freemium Version
- Premium Consulting/Integration Services
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What is Redis™*?
According to the vendor, Redis is an in-memory multi-model database that supports multiple data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs and geospatial indexes with radius queries. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability and automatic partitioning with Redis Cluster.
Redis combines in-memory, schema-less design with optimized data structures and versatile modules that adapt to your data needs. The result is an adept, high performance, multi-purpose database that scales easily like a simple key/value data store but delivers sophisticated functionality with great simplicity, according to the vendor.
Redis also enables data persistence and high availability through replication and backups. Redis Enterprise is built from the ground up to serve as a system of record for any application.
*Redis is a trademark of Redis Ltd. Any rights therein are reserved to Redis Ltd. Any use by TrustRadius is for referential purposes only and does not indicate any sponsorship, endorsement or affiliation between Redis and TrustRadius.
Redis™* Features
NoSQL Databases Features
- Supported: Performance
- Supported: Availability
- Supported: Concurrency
- Supported: Security
- Supported: Scalability
- Supported: Data model flexibility
- Supported: Deployment model flexibility
Additional Features
- Supported: Integrated modules
- Supported: Active-Passive Geo Distribution
- Supported: Cluster Architecture
- Supported: Linear Scaling
- Supported: Durability
- Supported: Backup and Disaster Recovery
- Supported: Reliability
Redis™* Screenshots
Redis™* Video
Why Redis?
Redis™* Integrations
- Apache Spark
- Red Hat OpenShift
- CData
- Pivotal Cloud Foundry
Redis™* Competitors
Redis™* Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Linux, Mac |
| Mobile Application | Apple iOS, Android, Windows Phone, Blackberry, Mobile Web |
| Supported Countries | Global |
| Supported Languages | https://redis.io/clients |
Redis™* Downloadables
Frequently Asked Questions
Redis is an open source in-memory data structure server and NoSQL database.
Reviewers rate Performance highest, with a score of 10.
The most common users of Redis™* are from Mid-sized Companies (51-1,000 employees).
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Recommendations
Redis has proven itself to be an invaluable tool in a wide range of use cases. Users have found Redis to be exceptional as an efficient caching solution, allowing for the distribution of data and storage of web sessions. This capability has led to significant improvements in performance and reliability, making it a go-to choice for many backend development teams. Additionally, Redis's versatility as a NoSQL key-based database store has made it a preferred option for organizations working alongside other databases like PostgreSQL and Memcache. Its ease of use, stability, and reliability have made it a popular choice across multiple departments within organizations.
Furthermore, Redis has been leveraged in various R&D projects to experiment with its implementation in different modules. Starting with cache management, users have been able to extend its usage to address specific project needs effectively. In these experiments, Redis has served as a traditional in-memory key store warehouse for cache systems with a vast number of items, resulting in substantial latency savings. Its ability to manage distributed queues efficiently has also made Redis an excellent choice for tasks that require multiple worker nodes to subscribe and complete tasks. The flexibility Redis offers by enabling users to store sets of object-based information and lists further improves performance through set operations.
In addition to these use cases, Redis has become synonymous with simplicity and speed when it comes to basic yet fast key-value storage solutions. It has been extensively adopted in organizations, including game studios, where it is used for storing user data, session data, game data, and indexing information. For example, Redis Enterprise has been utilized to support backend systems for casual games by providing sub-millisecond response times and facilitating clustering, sharding, backups, and monitoring.
Moreover, customers have found Redis instrumental in addressing various challenges such as big data processing, handling temporal data, managing session state, and even as a caching service in microservices environments. Its ability to provide data consistency, concurrency management, and high-speed operations has proven invaluable. Additionally, Redis has been a reliable tool for caching solutions in e-commerce storefronts and data visualization applications. Users have reported reduced server load and improved performance as a result of implementing Redis as a cache.
Redis has also found success as a buffer cache, allowing for faster data retrieval and improved overall database performance. Its role in processing queues, calling APIs, and supporting vital organizational workflows has been recognized by customers who rely on its stability and speed. Furthermore, users have implemented Redis across various domains to manage user timelines, build notification systems, and implement microservices architecture
Users recommend the following for Redis:
Consider other cache options before choosing Redis. It is advisable to try out other caching solutions before jumping to Redis, even though it is a great tool for highly distributed caching.
Understand the purpose of Redis in your implementation. It is important to have a clear understanding of how Redis will be used in your specific application. Don't assume that it will work straight out of the box. Evaluate data structures and choose a model that allows for faster query times.
Use Redis for specific use cases. Redis shines in certain areas such as synchronizing states across instances and handling user sessions with Node.js. It can also be a good alternative for relational data when speed is of utmost importance. However, users caution against abusing Redis and recommend using it in a reasonable way.
Overall, users believe that Redis is a valuable tool for fast reliable storage and caching, particularly for enterprise applications. However, they also advise considering other key-value stores depending on the specific use case at hand.
Attribute Ratings
Reviews
(26-50 of 56)Companies can't remove reviews or game the system. Here's why
July 17, 2019
Honest hands-on review of Redis
July 17, 2019
Redis might not be the Panacea you are thinking of!
June 25, 2019
Redis Review
Redis was our 1st choice!!!
June 17, 2019
Redis and its CSAT
We want to compare Redis with Ignite.
May 20, 2019
Redis analysis
Faster response time. Overall cleaner API.
May 15, 2019
Overview of Redis
A little slower but far more scalable.
- MySQL, Apache Kafka and Amazon Simple Queue Service (SQS)
Ultimately, we needed a job system.
MySQL is attractive because it allows us to have a single transaction wrapping both the job system and main application. Unfortunately, it can also be a source of contention on a db and has poor performance.
SQS has vendor lockin, so it's out.
Kafka is nice and has partitioning... but it's also a lot more operationally sophisticated to set up.
May 02, 2019
A Perfect Fit
We chose Redis over Memcached for the ease of use with our existing code base as well as the price.
April 24, 2019
Instant database for instant user experience
Score 10 out of 10
Vetted Review
Verified User
Performance, ops/sec, multi model database, scaling, High availability
April 19, 2019
Redis makes your application super fast.
We have also done lot of research over NoSQL databases to find what is a good fit for our application. We finally decided to use Redis because:
Score 10 out of 10
Vetted Review
Verified User
Redis was our first and last choice.
April 19, 2019
Redis is the DB you didn't know you need.
Couchbase doesn't keep up with what they offer and what really does.
MongoDB just doesn't scale out, reads are performed across multiple nodes but writes still go to the single master.
DynamoDB is good overall but just way too expensive.
MongoDB just doesn't scale out, reads are performed across multiple nodes but writes still go to the single master.
DynamoDB is good overall but just way too expensive.
April 18, 2019
Redis is a nice transition to take
April 17, 2019
Our experience with Redis Enterprise
April 17, 2019
Redis on high scalability world
Redis was initially in the list of competitors like Aerospike, Cassandra, MongoDB.The major point that outset all others is that it provides a number of read and writes to the database that no one can match. Another major factor is Redis really knows the basic components that we need these days, e.g. we can take mpas for geolocation, and they provide a rich set of datatypes that becomes handy.
April 10, 2019
Redis: More than just cache
Memcached is the closest to Redis because it is also a key value in-memory storage solution. The reason to go with Redis is for its more useful datatypes, pubsub, and much bigger value storage.
March 22, 2019
Easy enterprise caching with Redis
One key feature: easy to use. you can install and use it under minutes. For the rest of the options, you have to do more configuration and settings. Besides all these, Redis is in-memory so the performance is a blast. Considering that simple is better, the proof of the concept was easy and smooth.
March 21, 2019
Redis: Simple and Fast
The main competitor to Redis is Memcached. While I haven't used Memcached as much, I do know that it has been regarded as an inferior product to Redis. I have read that it does not have the ability to scale and work with the simplicity that Redis provides. However, I can not speak to the performance of Memcached relative to Redis.
March 21, 2019
Redis is a hammer in search of a nail.
The only other product I've used that I would compare to Redis is Memcache. I prefer Redis simply because of its ease of use and it's very well documented. It also has a lot of community support which means there are a large number of client libraries that exist to make the development of a project easier on me.
March 20, 2019
Dead-Simple Configuration and Scary-Fast Performance
March 19, 2019
Redis Review
- MySQL and PostgreSQL
As we perform a lot of deployments to AWS, we have the option of easily using a cache layer with either Memcache or Redis. We almost always choose Redis as it can solve more problems in production than Memcache in our experience. There is some overlap between what Redis can do and what can easily be achieved with a traditional RDBMS, so it's important to ensure you really need the benefits that Redis has before adding new complexity to software architecture.
March 13, 2019
We love Redis
We chose Redis over Memcached and Couchbase for its performance, cost, support, and ease of use. Couchbase probably would have worked as well, but it seemed a bit overkill for our use cases.
Redis is great at set operations and is very fast. Riak is a fast long-term data store, but it is expensive to run. MongoDB is good for small, quick projects. Elasticsearch is great at indexing and searching. Choose the right tool for the job, and don't be afraid to implement more than one piece of technology in order to achieve maximal results.
December 13, 2018
Redis is goooood!!!
Redis is so widely used, we haven't really experimented with other technologies in this space. But we know a lot about AWS, so we can make a rough judgement. Redis in itself is very fast, but it can be slow because of network traffic. You would ideally want your [cache] server to be as close as possible, which is why I guess I prefer to have my own Redis cluster in local VPC rather than AWS backed caching solution.