Fast and reliable
Pros
- Caching
- Message broker
Cons
- Different OSs
Return on Investment
- Yet to be realized
Other Software Used
Microsoft SQL Server, MySQL, MongoDB
What is Redis Software?
Redis is an open source in-memory data structure server and NoSQL database.
Categories & Use Cases
Media
1 / 5
Top Performing Features
Performance
How fast the database performs under data load
Category average: 9.2
Concurrency
Concurrency is the ability for multiple processes to access or change shared data simultaneously. The greater the number of concurrent user processes that can execute without blocking each other, the greater the concurrency of the database system.
Category average: 9
Scalability
NoSQL databases are inherently more stable than relational databases and have built-in support for replication and partitioning of data to support scalability.
Category average: 9.4
Areas for Improvement
Deployment model flexibility
Can be deployed on-premise or in the cloud.
Category average: 8.9
Security
Security features include authentication against external security mechanisms liker LDAP, Windows Active Directory, and authorization or privilege management. Some NoSQL databases also support encryption.
Category average: 8.9
Availability
Availability is the probability that the NoSQL database will be available to preform its function when called upon.
Category average: 8.9
Redis Software - an easy to caching solution with in-built data structure support.
Use Cases and Deployment Scope
It's our primary caching solution used to store request-ids, user profiles, message ids for de-duplication, etc. We have about 25 clusters of Redis Software running on Elasticache and it scales without any issues.
Pros
- Easy to integrate, simple data models.
- Highly performant at significant scale.
- Easy to deploy and manage.
Cons
- Replication
- Durability
- Clustering
Return on Investment
- Allowed us to scale the product to 100M users without much effort.
- Can scale vertically without any impact on the client operations
- Easy to use data-model that fits the native objects of the programming languages easily.
Usability
Alternatives Considered
Aerospike and Memcached
Blazing performance, excellent stability, and really nothing to dislike make Redis a must look at solution
Pros
- Cache speed
- Support for high volume of transactions with elegant handling of data sets
- Ease of use - well structured and easy to implement
Cons
- Price per shard is a bit high but over all there are no issues worth mentioning
- I've heard some wishing it supported complex queries but this is asking the solution to support operations it wasn't intended for
Return on Investment
- Reductions in latency allow operations that would be longer running (multiple seconds) to be performed nearly instantaneously providing for high performance.
- Redis allows for easier application scaling and support for a higher volume of transactions without typical performance curve limitations.
- Savings related to not having to pre-process unstructured data are hard to quantify but very appreciated in the sense of savings on code complexity.
Other Software Used
Red Hat Enterprise Linux (RHEL), VMware NSX, HPE OneView, Foglight for Virtualization, Hitachi Content Platform (HCP), Hitachi Network Attached Storage Platform (HNAS), Hitachi Command Suite, VMware ESXi, Microsoft Azure, Microsoft SQL Server, Hitachi Virtual Storage Platform G Series
REDIS great as K/V cache
Pros
- Quick key lookups.
- Distribution of data is easy and reliable.
- Almost HA.
Cons
- HA automatic failover for master and promoting slave on own.
- Doesn't handle 1M r/s sadly.
- Cross DC replication not so great.
Return on Investment
- Reduced need for high end DBservers.
- Better than memcacheD.
- Doesn't do well for time series data though, which sucks.
Alternatives Considered
Aerospike Database, MemCacheD and Couchbase
Other Software Used
Aerospike Database, Couchbase Server, MemSQL
Redis, a fast, reliable and well supported data storage system
Pros
- Atomic operations
- Quick Lookups
- Widely supported (there are many tools/libraries built over Redis)
Cons
- We had some difficulty scaling Redis without it becoming prohibitively expensive.
- Redis has very simple search capabilities, which means its not suitable for all use cases.
- Redis doesn't have good native support for storing data in object form and many libraries built over it return data as a string, meaning you need build your own serialization layer over it.
Return on Investment
- Existing tools like Redisson that were built over Redis reduced dev time in solving challenging problems, which had a positive impact on ROI.
- We initially misused Redis for persistent storage which had a negative impact on ROI because we were paying a lot for inactive users.
- The increased performance we achieved using Redis in areas like locking helped us improve the performance of our system reducing the likelihood of system timeouts.
Other Software Used
MongoDB, AWS OpsWorks, Google Cloud Pub/Sub, GitHub
