What is better than Redis?
Top Alternatives to Redis
- Memcached. Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering. …
- MongoDB.
- RabbitMQ.
- Hazelcast.
- Cassandra.
- MySQL.
- SQLite.
- Aerospike.
Is Elasticsearch faster than Redis?
Redis tends to be faster than Elasticsearch while indexing and when performing searches on the indexed data set. It is a great feature-rich search product but has a lower performance compared to Redis.
Is Redis still used?
Currently, it is being used by tech-giants like GitHub,Weibo, Pinterest, Snapchat, Craigslist, Digg, StackOverflow, Flickr. 4. In order to save your cloud database calls and eventually saving some dollars out there, you can of course opt for caching so the Redis.
Is Redis the fastest database?
Redis is faster than MongoDB because it’s an in-memory database. This makes it a great choice for building complicated data structures quickly.
Is Redis a cache or database?
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker.
Is Redis a MongoDB?
MongoDB vs Redis MongoDB is a document-oriented, disk-based database optimized for operational simplicity, schema-free design and very large data volumes. Redis is an in-memory, persistent data structure store that enables developers to perform common operations with minimal complexity and maximum performance.
Where is Redis used?
Redis can be used with streaming solutions such as Apache Kafka and Amazon Kinesis as an in-memory data store to ingest, process, and analyze real-time data with sub-millisecond latency. Redis is an ideal choice for real-time analytics use cases such as social media analytics, ad targeting, personalization, and IoT.
Is Redis a cache?
Is Redis good as a database?
Since redis is rather memory oriented it’s really good for frequently updated real-time data, such as session store, state database, statistics, caching and its advanced data structures offers versatility to many other scenarios.
What is the purpose of Redis?
Redis offers purpose-built in-memory data structures and operators to manage real-time geospatial data at scale and speed. Commands such as GEOADD, GEODIST, GEORADIUS, and GEORADIUSBYMEMBER to store, process, and analyze geospatial data in real-time make geospatial easy and fast with Redis.