Fault-Tolerant and Scalable
Stream replication provides high availability and durability of messages. Clustering and partitioning provides horizontal scalability for streams and their consumers.
Supremely Simple
No heavy or unwieldy dependencies like ZooKeeper or the JVM. Liftbridge is a single static binary roughly 823 MB in size. It has a simple gRPC-based API which makes it quick to implement client libraries.
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Wildcard Subscriptions
Create streams that match wildcard topics, such as stock.nyse. Or stock.nasdaq. In addition to topic literals like stock.nasdaq.msft.
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Key-Value and Header Support
Messages can have a key set on them for key-value semantics and other arbitrary headers, making Liftbridge a great choice for transaction write-ahead logs.
Log Retention and Compaction
In addition to retention policies based on time and data volume, Liftbridge supports log compaction by key. This means the server retains only the latest value for a given key.
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Use Cases
Pub / sub messaging
Event sourcing and CQRS
Stream processing (eg processing clickstream events)
Real-time data pipelines (eg log or metric aggregation to feed disparate backends)
Replicated transaction commit logs (eg materialize views, populate caches, update indexes, or synchronize data)
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