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Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT
Datadog Webhook connector details
The HTTP Ingest connector allows you to stream data from incoming HTTP requests or webhooks directly into Estuary Flow collections. It’s perfect for capturing events from external systems like GitHub, Shopify, or Segment in real time, with zero custom code.
- Purpose-built for webhooks: Capture JSON payloads from any service that can send POST or PUT requests
- Instant setup: Flow automatically generates a unique, public webhook URL for your capture
- Flexible paths: Define multiple URL paths to map different event types into separate collections
- Deduplication: Prevent duplicate event ingestion using webhook headers like X-GitHub-Event or X-Shopify-Webhook-Id
- Authentication: Optionally secure endpoints using a Bearer token (Authorization: Bearer )
- CORS support: Allow specific origins for browser-based event delivery
- Secure deployment: Fully supported in Estuary’s Private and BYOC environments for compliance and data control
💡 Tip: Use the HTTP Ingest connector to prototype real-time pipelines — just point your webhook at Flow, publish a capture, and watch data appear instantly in your collections.
HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.
DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.
REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from Datadog Webhook in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your Datadog Webhook insights always reflect the latest data by connecting your databases to Datadog Webhook with change data capture.
- Or connect critical SaaS apps to Datadog Webhook with real-time data pipelines.
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale |
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