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- Performance (69)10.0100%
- Scalability (69)9.393%
- Availability (69)9.090%
- Concurrency (68)9.090%
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- Tech Details
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.
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- Supported: Performance
- Supported: Availability
- Supported: Concurrency
- Supported: Security
- Supported: Scalability
- Supported: Data model flexibility
- Supported: Deployment model flexibility
- Supported: Integrated modules
- Supported: Active-Passive Geo Distribution
- Supported: Cluster Architecture
- Supported: Linear Scaling
- Supported: Durability
- Supported: Backup and Disaster Recovery
- Supported: Reliability
|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|
The main drive for that replacement was the ability of Redis to quickly add data persistence to the in-memory cache functionality. This is super helpful in a microservices environment where all instances can be restarted and redeployed and you don't want to lose data on each deploy. With Memcached, this is impossible to achieve, while with Redis it gets pretty straightforward, without losing performance or availability.