Postgres LISTEN/NOTIFY Performance at Scale
By Dillip Chowdary • July 25, 2026
Analyzing Database Event Latency Limits
Postgres’ LISTEN/NOTIFY commands are a popular choice for building real-time features in web applications, allowing database changes to trigger application events. However, scaling these commands to support high transaction volumes can introduce performance challenges.
Benchmarking tests show that while LISTEN/NOTIFY is effective for moderate workloads, high event volumes can lead to CPU bottlenecking and increased latency. The database must manage connection states and event queues, which can consume significant resources under load.
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Implementing Message Aggregation
To optimize performance, developers can implement event aggregation, grouping multiple database changes into a single notification. This reduces the number of events processed by the database, helping to maintain system responsiveness at scale.
For applications requiring high-throughput real-time updates, developers may need to explore dedicated message brokers, such as Redis or RabbitMQ, to offload notification processing from the database, ensuring consistent performance for end-user features.
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