Stream data from HTTP Webhook to SingleStore
Sync your HTTP Webhook data with SingleStore in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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HTTP Webhook connector details
- Log-based CDC for high-performance, low-impact data capture
- Automatic schema evolution to handle changes in source structure without manual intervention
- Unified streaming and batch ingestion in the same pipeline
- Hybrid deployment and BYOC support for security and control
- Fault-tolerant pipelines that resume automatically from the last checkpoint
- Kafka API connectivity for direct integration into streaming ecosystems

SingleStore connector details
The SingleStore (Dekaf) connector streams Flow collections as Kafka-compatible messages that can be consumed directly by SingleStore pipelines. It enables real-time data ingestion from Estuary into SingleStore’s distributed SQL engine for hybrid transactional and analytical workloads.
- Real-time delivery: Streams collection updates to SingleStore pipelines over Kafka in Avro format.
- High-performance integration: Leverages SingleStore’s native ingestion pipeline for low-latency, scalable data flow.
- Simple authentication: Uses a configurable auth token as both the Kafka and Schema Registry credential.
- Flexible configuration: Each Flow collection is published as a separate Kafka topic for easy mapping.
- Deletion handling: Supports both standard Kafka-style deletes and CDC deletion modes for downstream processing.
- Quick setup: Define a pipeline in SingleStore with the
LOAD DATA KAFKA
command and start ingesting immediately.
💡 Tip: Use ReplacingMergeTree or similar table engines in SingleStore when handling CDC deletions to maintain accurate, up-to-date data states across real-time pipelines.
How to integrate HTTP Webhook with SingleStore in 3 simple steps using Estuary Flow
Connect HTTP Webhook as Your Real-Time Data Source
Set up a real-time source connector for HTTP Webhook in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure SingleStore as Your Target
Choose SingleStore as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the HTTP Webhook connector.
- Enter Details: Add your HTTP Webhook connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the HTTP Webhook capture, and publish.
What is HTTP Webhook?
How do I Transfer Data from HTTP Webhook?
What are the pricing options for Estuary Flow?
Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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