Probabilistic in Redis
Probabilistic data structures are used to provide approximate answers or estimations for certain operations with reduced memory usage compared to exact data structures. One of the most commonly used probabilistic data structures in Redis is HyperLogLog (HLL). It is used for estimating the cardinality (the number of unique elements) of a set. Redis also offers another probabilistic data structure called Bloom Filters. It checks for presence of an element in a set. Bloom Filters are useful for quickly checking membership in a large dataset without the need for storing the entire dataset in memory. Cuckoo filters are a probabilistic data structure that checks for presence of an element in a set.
Complete Guide on Redis Data Types with Commands and Storage
Redis is an open-source, in-memory data store that supports various data types: such as String, Sets, Lists, Hashes, etc. to store data according to the needs of the user. These diverse data types make Redis versatile for caching, messaging, real-time analytics, and more.
Different Data Types in Redis
- 1. String Data Type in Redis
- 2. Hash Data type in Redis
- 3. List Data Type in Redis
- 4. Set Data type in Redis:
- 5. Sorted Set in Redis:
- 6. Streams in Redis:
- 7. HyperLogLog in Redis:
- 8. Bitmaps in Redis:
- 9. Bitfields in Redis
- 10. Probabilistic in Redis:
- 11. Geospatial Indexes in Redis:
- 12. Time-Series in Redis