@redis/bloom

@redis/bloom

This package provides support for the RedisBloom module, which adds additional probabilistic data structures to Redis.

Should be used with redis/@redis/client.

:warning: To use these extra commands, your Redis server must have the RedisBloom module installed.

RedisBloom provides the following probabilistic data structures:

• Bloom Filter: for checking set membership with a high degree of certainty.
• Cuckoo Filter: for checking set membership with a high degree of certainty.
• T-Digest: for estimating the quantiles of a stream of data.
• Top-K: Maintain a list of k most frequently seen items.
• Count-Min Sketch: Determine the frequency of events in a stream.

For some examples, see bloom-filter.js, cuckoo-filter.js, count-min-sketch.js and topk.js in the examples folder.

Similar packages

Other packages similar to @redis/bloom

bloom-filter

The 'bloom-filter' package provides a simple implementation of Bloom filters in JavaScript. It is less feature-rich compared to @redis/bloom and does not integrate with Redis, making it suitable for in-memory operations only.

cuckoo-filter

The 'cuckoo-filter' package offers a JavaScript implementation of Cuckoo filters. Similar to 'bloom-filter', it does not integrate with Redis and is intended for in-memory use cases.

count-min-sketch

The 'count-min-sketch' package provides a JavaScript implementation of the Count-Min Sketch data structure. It is useful for approximate frequency counting but lacks the Redis integration provided by @redis/bloom.