redisbloom

Tech stack & purpose

RedisBloom is a probabilistic data structures module for Redis that enables querying of streaming data without storing all elements. The module provides Bloom filters, Cuckoo filters, Count-min sketches, Top-K, and t-digest data structures, each designed to answer specific questions about data streams while allowing users to trade accuracy for memory efficiency. Built for Redis, RedisBloom is now integrated directly into Redis starting with version 8, and the project includes benchmarking tools and comprehensive documentation for evaluating performance across different feature implementations.

Community & reference links

• discord.gg/wXhwjCQ

Languages

Contributors (top 30 of 75)

• 
  Mark Nunberg165 commits · 1 followers
• Ariel Shtul105 commits
• 
  Guy Korland95 commits · 276 followers
• 
  Filipe Oliveira (Personal)51 commits · 163 followers
• 
  Lior Kogan40 commits · 20 followers
• Chayim40 commits
• Pieter Cailliau31 commits
• 
  Eran Hadad28 commits · 7 followers
• 
  Ozan Tezcan26 commits · 109 followers
• 
  Rafi Einstein22 commits · 17 followers
• 
  Tom Gabsow20 commits · 2 followers
• 
  Itamar Haber17 commits · 286 followers
• efeldblum13 commits
• Dvir Volk12 commits
• ashtul12 commits
• Ofir Moskovich9 commits
• 
  OfirMos9 commits · 2 followers
• 
  Aviv David9 commits · 7 followers
• 
  Tal Bar Yakar9 commits · 0 followers
• 
  Shockingly Good9 commits · 66 followers
• rafie8 commits
• Ariel7 commits
• Shockingly Good6 commits
• LiranAbir5 commits
• 
  alonre244 commits · 5 followers
• tomerhekredis4 commits
• Simon Prickett4 commits
• 
  M Sazzadul Hoque4 commits · 47 followers
• Gal Cohen3 commits
• 
  WuYunlong3 commits · 64 followers