Improve user engagement and enhance data processing systems.
Simple data dedupe
Easily check if a given value already exists in a data stream with Redis Sets and probabilistic Bloom and Cuckoo filters.
Efficient data processing
Avoid redundant processing by making sure no data is handled more than once—or avoid processing altogether.
Dedupe with Redis Sets
Redis sets store any given value only once and are optimized to deterministically answer extremely fast the question, such as “Is this value in this set?”
Purge with Bloom Filters
Bloom filter is a probabalistic algorithm that only stores hashes for each value, not the values themselves. That means it takes up less memory and is faster than sets, with some slight accuracy tradeoffs.
State-of-the-art and academically proven probabilistic data structures and algorithms optimized for Redis.
Get fast and efficient dedupe and filtering with very large datasets at high performance and linear scalability.
Data structures can be managed in a fully reliable and durable manner across geo-distributed locations with active-active replication..
We work on any major cloud provider as a managed service or software. Automate operations and integrate seamlessly with modern platforms.
“It is a waste of an impression if we display ads on devices where the probability of conversion is low. The Cuckoo filter allows us to achieve this functionality with low latency on a 1.5 TB database.”
Surya Dharma
Director of Engineering, Liftoff
of ad requests served
at low latency
Speak to a Redis expert and learn more about enterprise-grade Redis today.