
Move your data from HTTP Webhook with your free account
Capture data from HTTP Webhook and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines



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

See how Envoy uses HTTP Webhook
How to connect HTTP Webhook to your destination in 3 easy steps
- 1
Connect HTTP Webhook as your data source
Securely connect HTTP Webhook and choose the objects, tables, or collections you need to sync.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from HTTP Webhook using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect HTTP Webhook to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse HTTP Webhook data across transformations and multiple downstream destinations without rebuilding source extraction.
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
One platform for real-time and batch data pipelines

Deliver real-time and batch data from DBs, SaaS, APIs, and more

Popular sources/destinations you can sync your data with
Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.
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Apache Iceberg
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Databricks
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MotherDuck
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Snowflake
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Elastic
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Google Bigquery
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HubSpot
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Dremio
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AWS OpenSearch
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Amazon EventBridge
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Amazon SNS
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Google Bigtable
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ClickHouse
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Google Spanner
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Bytewax
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Tinybird
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Azure Fabric Warehouse
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Dekaf
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Amazon S3 Iceberg (delta updates)
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Google Cloud Storage CSV
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Google GCS Parquet
![Amazon S3 CSV Logo]()
Amazon S3 CSV
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Amazon RDS for PostgreSQL
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Amazon RDS for SQL Server
![Amazon RDS for MariaDB Logo]()
Amazon RDS for MariaDB
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Amazon RDS for MySQL
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Google Cloud SQL for PostgreSQL
![Google Cloud SQL for MySQL Logo]()
Google Cloud SQL for MySQL
![Oracle MySQL Heatwave Logo]()
Oracle MySQL Heatwave
![Amazon Aurora for MySQL Logo]()
Amazon Aurora for MySQL
![MariaDB Logo]()
MariaDB
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Amazon DynamoDB
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SQL Server
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Pinecone
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Slack
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Azure Cosmos DB
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Amazon Aurora for Postgres
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SQLite
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MongoDB
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Alloy DB for Postgres
![Timescale Logo]()
Timescale
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Google PubSub
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Google Sheets
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Amazon S3 Parquet




























































