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Technology

Streamline data deduplication

Improve user engagement and enhance data processing systems.

Benefits

Simple data dedupe

Easily check if a given value already exists in a data stream with Redis Sets and probabilistic Bloom and Cuckoo filters.

Explore content filtering

Efficient data processing

Avoid redundant processing by making sure no data is handled more than once—or avoid processing altogether.

How it works

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?” 

Read the docs

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.

See the docs

Key features

Proven probabilistic data structures plus-white minus-white

State-of-the-art and academically proven probabilistic data structures and algorithms optimized for Redis.

Dedupe at any scale plus-white minus-white

Get fast and efficient dedupe and filtering with very large datasets at high performance and linear scalability.

Reliable data deduplication plus-white minus-white

Data structures can be managed in a fully reliable and durable manner across geo-distributed locations with active-active replication.. 

Cloud provider and platform integrations plus-white minus-white

We work on any major cloud provider as a managed service or software. Automate operations and integrate seamlessly with modern platforms.

What our customers say

“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

Billions

of ad requests served
at low latency

Read more customer stories

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