Redis Cloud - Annual
RedisExternal reviews
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Best in-memory database experience
What do you like best about the product?
The speed and simplicity are amazing.
Easy to understand and implement.
Stores data in memory, therefore, can perform a huge number of read and write operations per second.
Easy to understand and implement.
Stores data in memory, therefore, can perform a huge number of read and write operations per second.
What do you dislike about the product?
If the system abruptly restarts, data is lost.
If we enable real-time data backup to disk in order to avoid the above issue, resource utilization skyrockets.
Also, logging makes things run slower.
If we enable real-time data backup to disk in order to avoid the above issue, resource utilization skyrockets.
Also, logging makes things run slower.
What problems is the product solving and how is that benefiting you?
We store a large number of key-value pairs in different fields.
These are updated in real-time so the live data is always updated and accurate.
These are updated in real-time so the live data is always updated and accurate.
Best In memory cache
What do you like best about the product?
Easy to setup and use as a caching layer between your application layer and database layer
What do you dislike about the product?
I have used it in mid sized application, found nothing that can be Said as big issue
What problems is the product solving and how is that benefiting you?
Optimizing database queries using caching layer
Highly scalable distributed cache
What do you like best about the product?
It's very easy to integrate and easy to scale. Rich in lot of Data Structure and Algorithm.
What do you dislike about the product?
Nothing such. I haven't faced any issue so far.
What problems is the product solving and how is that benefiting you?
We are using redis as a distributed cache. It's very easy to use and easy to scale. performance is also good.
It help us to improve the performance.
What do you like best about the product?
Easy Implementation with multiple technologies Java, Node etc.
What do you dislike about the product?
Improve documentation with more example.
What problems is the product solving and how is that benefiting you?
We are using Redis as middleware in NodeJS to save calls on the Database and improve performance
Moderate Experience
What do you like best about the product?
Sharing cache between microservices with high performance
What do you dislike about the product?
I haven't yet experienced any downsides of using Redis
What problems is the product solving and how is that benefiting you?
Redis helped me solve the shared cache problem and Pub/Sub communication between my microservices
used redis with different apps including shared caching and as message broker
What do you like best about the product?
the best about redis is the persistent volumes and how much it is fast to save and retrieve data . also publishing and subscribing message broker which i use as events is so helpful.
What do you dislike about the product?
it is intenteded to solve various problems , cant see any downsides.
What problems is the product solving and how is that benefiting you?
the best solution comes with redis, is when the memory cache is no more beneficial between different apps. here where the strong point of redis appears, rather than no fear of any app shutdown since all the volumes are persistent.
Best Cache store
What do you like best about the product?
We used it save the reservation data in cache for faster ii experience.
What do you dislike about the product?
There is nothing which I disliked as of now.
What problems is the product solving and how is that benefiting you?
Slow read from rdbms where caching the reservation data helps in quick response time.
Very Fast Caching System
What do you like best about the product?
Very easy to install
Great CLI
Great Queries
Multilanguage support
Integration with AWS
Great CLI
Great Queries
Multilanguage support
Integration with AWS
What do you dislike about the product?
Bad experience with Windows since I am a Windows user.
A bit expensive.
Gets complicated when using clustering.
A bit expensive.
Gets complicated when using clustering.
What problems is the product solving and how is that benefiting you?
I mainly use for caching. I used it with machine learning with great benefits. A backend service runs and computes key data values for each customer and saves it in the cache. The front end user just subscribes to the values and sees live results.
used both redis cache and redis message broker and both are awesome.
What do you like best about the product?
perfect for shared memory, pub/sub is amazing as messaging broker.
What do you dislike about the product?
nothing to dislike actually , it is the best
What problems is the product solving and how is that benefiting you?
clearing cache for multiple microservices, with a subscribe event to the message broker.
shared caching for multiple microservices as well.
keeping data saved as persistent volumes due to microservices shutdown.
shared caching for multiple microservices as well.
keeping data saved as persistent volumes due to microservices shutdown.
An amazing tool to keep data for cash, and also use as pub/sub mechanism
What do you like best about the product?
Mostly that I like is speed to reading and writing key->value data to Redis, It's a very convenient tool to use as a cashing mechanism.
Also, I like the pub/sub mechanism to use it for communication betwin microservices.
Also, I like the pub/sub mechanism to use it for communication betwin microservices.
What do you dislike about the product?
The only thing that I dislike, is some issues with do querying and to get data with some data with needed conditions
What problems is the product solving and how is that benefiting you?
Mostly the cashing problems, and to keep the data that should be written and read fast and, for don't store them to that main database.
Recommendations to others considering the product:
If you want to start using microservices for enhancing your product it will a good idea to use Redis as a message broker.
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