Error Codes

Error JSON

The Sequin API can return the following errors:

Errors

Authorization

Sequin

Discover how to use Sequin to build real-time Postgres change data capture pipelines. Use Sequin to power workflows, sync rows, and manage caches.

What is Sequin?

Compare Sequin against Debezium, Fivetran, Airbyte, and Postgres native solutions. Make an informed choice for your change data capture needs.

Compare Sequin

Learn how to install and configure Sequin in minutes using Docker Compose. Set up your Postgres CDC pipeline with minimal effort.

Running Sequin

Getting Started with Sequin

Learn how to properly configure your Postgres database for change data capture with Sequin.

Connect Postgres

How to connect your Postgres database to Sequin

Explore how Sequin outperforms Debezium by 6.8x in throughput and 4.7x in latency. See why Sequin is the fastest Postgres CDC tool available.

Performance

Compare Sequin's flexible pricing options, from free self-hosted to cloud pay-as-you-go and managed enterprise.

Plans and pricing

Overview of Sequin's enterprise-grade deployment option in your own AWS account. Get SaaS simplicity with the security and control of your own infrastructure for CDC workloads.

Sequin Managed Overview

Sequin Managed

Sequin offers a single-tenant deployment of Sequin within your own AWS account.

Sequin Managed on AWS

Build event-driven applications with Postgres change data capture (CDC) and webhooks. Learn to create reliable HTTP integrations with automatic retries.

Webhooks

How to stream Postgres to a webhook endpoint

Connect Postgres to SQS with Sequin. Stream database changes for reliable message queuing with ordered delivery guarantees.

How to stream Postgres to AWS SQS

Build real-time data pipelines by streaming Postgres changes to Kafka. Learn how to go from dev to prod with a Sequin Kafka sink.

Kafka

How to stream Postgres to Kafka

Create real-time data pipelines with Redis Streams and Postgres change data capture (CDC). Stream database changes for caching, analytics, and event distribution.

Redis

How to stream Postgres to Redis

Implement exactly-once processing for Postgres events without additional infrastructure. Learn how to use Sequin's HTTP-based stream to pull database changes.

Sequin Stream

How to stream Postgres to Sequin Stream

Integrate Postgres with Google Cloud services through Pub/Sub. Stream database changes for event processing, Cloud Functions, and more.

GCP Pub/Sub

How to stream Postgres to GCP Pub/Sub

Build event-driven applications with NATS and Postgres change data capture (CDC). Stream database changes to NATS subjects for lightweight, scalable event distribution.

NATS

How to stream Postgres to NATS

Create message queues from Postgres events with RabbitMQ. Stream database changes to RabbitMQ to trigger workflows, keep services in sync, and more.

RabbitMQ

How to stream Postgres to RabbitMQ

Build scalable event-driven applications with Azure and Postgres change data capture (CDC).

Azure Event Hubs

How to stream Postgres to Azure Event Hubs

Learn how to store database changes in Postgres tables for reliable point-in-time recovery and flexible backfill operations.

Set up change retention

Learn how to create event-driven architectures using Postgres change data capture (CDC). Build workflows with strict ordering and idempotency guarantees.

Build automated workflows

How to build automated workflows from database changes

Build comprehensive audit logging systems with Postgres change data capture (CDC).

Create audit logs

How to create audit logs with Sequin

Learn how to build reliable Postgres change data capture pipelines with Sequin. From idempotent processing, to schema transformations, to error handling.

Replicate tables

How to replicate tables with Sequin

Discover how to keep Redis, Memcached, and search indexes in sync with your Postgres data. Eliminate stale cache issues with real-time change data capture.

Maintain caches

How to maintain caches with Sequin

Learn how to use Sequin's CLI for version-controlled, consistent deployments across environments.

Deploy to production

How to deploy to production

Learn how to enrich Postgres change data capture (CDC) events with transaction annotations for audit trails, debugging, and business context.

Annotate changes

How to annotate database changes

Reference for Sequin configuration options. Explore advanced settings for clustering, memory management, and authentication.

Configuration

Reference for connecting databases to Sequin

Databases

Reference for Sequin's CDC message formats.

Messages

Precisely control your data flow with powerful filtering options. Learn to filter by operation type, column values, and even nested JSON fields for efficient CDC processing.

Filters

Learn how to seed destinations with existing data or replay events for robust Postgres change data capture (CDC) pipelines.

Backfills

Implement reliable data archiving and event replay capabilities. Learn how to store, manage, and recover Postgres change events with configurable retention periods.

Change retention

Reference for Sequin transaction annotations. Attach rich contextual metadata to your Postgres change data capture (CDC) events.

Annotations

Transaction Annotations

Reference for Sequin's YAML configuration for infrastructure-as-code deployments.

sequin.yaml

Reference for the Sequin CLI. Learn about installation options, context management, configuration commands, and local development tunnels.

Sequin CLI

Reference for the core concepts and behaviors of Sequin sinks. Learn about delivery guarantees, message grouping, ordering, backfill support, and monitoring capabilities.

General

Trigger real-time HTTP webhooks from Postgres changes with Sequin's webhook sink. Learn about the batching and authentication strategies that Sequin offers.

Webhook sink

Reference for configuring and using the AWS SQS sink with Sequin.

SQS sink

Stream Postgres changes directly to Apache Kafka with Sequin's Kafka sink. Configure message ordering and partitioning for reliable change data capture.

Kafka sink

Reference for configuring and using the Redis sink with Sequin.

Redis sink

Reference for configuring and using the Google Cloud Pub/Sub sink with Sequin.

GCP Pub/Sub sink

Reference for configuring and using the NATS sink with Sequin.

NATS sink

Reference for configuring and using the RabbitMQ sink with Sequin.

RabbitMQ sink

Reference for using Sequin's native HTTP-based stream, Sequin Stream.

Sequin Stream sink

Sequin Stream Reference

Reference for configuring and using the Azure Event Hubs sink with Sequin.

Azure Event Hubs sink

Learn how to setup a Postgres change data capture (CDC) pipeline from AWS RDS Postgres.

AWS RDS

Connecting to an AWS RDS database

Integrate Azure PostgreSQL with Sequin's change data capture (CDC) platform in minutes. Learn how to setup logical replication and connect Sequin to your database.

Azure Postgres

Connecting to an Azure Database for PostgreSQL

Stream changes from GCP Cloud SQL to other Google services and beyond. Learn how to enable logical replication and connect Sequin to your database.

GCP Cloud SQL

Connecting to a GCP Cloud SQL database

Set up Postgres change data capture (CDC) with Neon's serverless Postgres database in minutes.

Neon

Connecting to Neon

Elevate your Supabase project with reliable Postgres change data capture (CDC). Use Sequin to replace webhooks and trigger edge functions.

Supabase

Connecting to Supabase

Power time-series applications with real-time change capture. Learn how to connect TimescaleDB to Sequin.

TimescaleDB

Connecting to a TimescaleDB database

Deploy global, edge-based applications that respond to Postgres changes. Connect Sequin to Cloudflare Workers for real-time database event processing.

Cloudflare Workers

Trigger Cloudflare Workers from database changes

Build reliable event-driven applications by triggering Inngest functions from Postgres changes. Use Sequin to process database events with guaranteed delivery.

Inngest

Trigger Inngest events from database changes

Build serverless event-driven applications by streaming Postgres changes to AWS Lambda.

AWS Lambda

Trigger AWS Lambdas from database changes

Build real-time analytics dashboards by streaming Postgres data to Tinybird.

Tinybird

Replicate Postgres to Tinybird

Build AI-powered applications with Trigger.dev and Postgres change data capture (CDC). Learn how to automatically create embeddings when database records change.

Trigger.dev

Trigger Trigger.dev tasks from database changes

Create real-time serverless applications with Postgres change data capture (CDC) and Supabase edge functions.

Supabase edge function

Trigger Supabase edge functions from database changes

Enhance Postgres event handling with reliable, exactly-once processing. Upgrade from basic Supabase webhooks to feature-rich Sequin webhook sinks.

Supabase webhooks

Migrate Supabase webhooks to Sequin webhook sinks

Create serverless, event-driven Next.js applications that respond to Postgres changes.

Vercel Functions

Trigger Vercel Functions from database changes

Introduction

Sequin's API uses HTTP Bearer Authentication.

Authentication

Documentation

Discord

Learn how to create real-time API hooks from Postgres changes in minutes. Use Sequin to trigger automated workflows, build audit logs, and more.

Get started with webhooks

Stream Postgres changes to an SQS queue in minutes. Build real-time data pipelines with SQS and Postgres change data capture (CDC).

Get started with SQS

Learn how to setup Postgres change data capture (CDC) to Kafka in under 10 minutes. Setup a robust pipeline with backfills, inserts, updates, and deletes.

Get started with Kafka

Stream Postgres changes to a Redis stream in minutes. Build real-time data pipelines with Redis and Postgres change data capture (CDC).

Get started with Redis

Stream Postgres changes to a Google Cloud Pub/Sub topic in minutes. Build real-time data pipelines with Google Cloud Pub/Sub and Postgres change data capture (CDC).

Get started with GCP Pub/Sub

Stream Postgres changes to NATS subjects in minutes. Build lightweight, high-performance real-time pipelines on top of your Postgres data with NATS.

Get started with NATS

Stream Postgres changes to RabbitMQ in minutes. Build real-time data pipelines with RabbitMQ and Postgres change data capture (CDC).

Get started with RabbitMQ

Build exactly-once processing pipelines for Postgres changes without additional infrastructure. Learn about Sequin's native stream with an HTTP interface.

Get started with Sequin Stream

Build real-time data pipelines with Azure Event Hubs and Postgres change data capture (CDC). Follow our step-by-step tutorial to stream database changes to Event Hubs in minutes.

Get started with Azure Event Hubs

Learn how to setup Postgres change data capture (CDC) to a Redpanda cluster in under 10 minutes. Setup a robust pipeline with backfills, inserts, updates, and deletes.

Redpanda

Get started with Redpanda

Use the `/receive` endpoint to get one or more messages from a Sequin Stream

HTTP status code	Description
400	Bad Request	Your request is invalid.
401	Unauthorized	Your API key is wrong.
403	Forbidden	The object requested is hidden for administrators only.
404	Not Found	The specified object could not be found.
422	Unprocessable Entity	Your request failed validation.
429	Too Many Requests	You’re requesting too many kittens! Slow down!
500	Internal Server Error	We had a problem with our server. Try again later.
501	Not Implemented	The server does not support the functionality required to fulfill the request.
504	Gateway Timeout	Your request took too long to response.

HTTP status code	JSON Body
400	`{"summary": "Error summary"}`
401	`{"summary": "Error summary"}`
403	`{"summary": "Error summary"}`
404	`{"summary": "Error summary"}`
422	`{"summary": "Error summary", "validation_errors": {"Some validation": ["Reason for validation failure"]}}`
429	`{"summary": "Error summary"}`
500	`{"summary": "Error summary"}`
501	`{"summary": "Error summary"}`
504	`{"summary": "Error summary"}`

Management API

​Error Codes

​Error JSON

Error Codes

Error JSON