August 19th, 2024

A Postgres Alternative to Kafka

Sequin is an open-source message streaming solution that transforms PostgreSQL databases into message streams, offering features like exactly-once delivery and guaranteed message order, suitable for CDC and API integrations.

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A Postgres Alternative to Kafka

Sequin is a message streaming solution built on PostgreSQL, designed to simplify the process of managing data streams without the operational complexities associated with systems like Kafka. It allows users to turn their PostgreSQL databases into message streams, enabling the persistence of messages and the ability to spin up consumers for data ingestion at any time. Key features include exactly-once delivery, guaranteed message order, expressive routing without the need for topics or partitions, and a simple HTTP interface for message handling. Sequin is particularly useful for use cases such as database change data capture (CDC) and API integrations, allowing users to react to database changes or capture events from APIs. The system is open-source and can be integrated easily with existing technology stacks through various SDKs. Sequin aims to provide a straightforward and efficient way to manage streaming data, making it accessible for developers looking to implement streaming solutions quickly.

- Sequin transforms PostgreSQL into a message streaming platform.

- It offers features like exactly-once delivery and guaranteed message order.

- The system is designed for ease of use with a simple HTTP interface.

- Sequin is open-source and integrates well with existing technology stacks.

- It is suitable for database CDC and API event processing use cases.

Link Icon 3 comments
By @com - 4 months
Does anybody have experience using this in a real-world setting?

I can understand the desire to never, ever have to deal with Zookeeper again, but does the ergonomics promise of sequin hold up?

By @05bmckay - 4 months
Sequin is a message stream built on Postgres. Unlike a queue, Sequin persists messages so that you can spin up consumers to ingest data at any time. It's comparable to Kafka, but easier to run and use.