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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
Amplitude connector details
Estuary’s Amplitude connector captures analytics data from Amplitude projects into Flow collections using the Amplitude APIs. It supports multiple data resources such as events, cohorts, annotations, and session metrics. The connector uses API-based extraction with incremental sync where available, making it suitable for periodic, near real-time updates.
- Captures events, cohorts, and session metrics via Amplitude APIs
- Supports incremental and full-refresh sync modes
- Requires Amplitude API Key and Secret Key for authentication
- Ideal for analytics and user behavior tracking pipelines
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 Amplitude 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 Amplitude insights always reflect the latest data by connecting your databases to Amplitude with change data capture.
- Or connect critical SaaS apps to Amplitude 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 |
Deliver real-time and batch data from DBs, SaaS, APIs, and more
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