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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
Alpaca Market Data connector details
Estuary’s Alpaca connector brings both historical and live stock trade data into Flow collections with precision. It uses the Alpaca Market Data API to backfill trades from 2016 onward and maintains a continuous stream of new trades in real time through WebSocket streaming.
- Captures historical and live trade data simultaneously for complete coverage
- Supports up to 20 stock or ETF symbols per capture
- Compatible with both Free (iex) and Unlimited (sip) data feeds
- Flexible configuration to enable or disable backfill or live streaming as needed
- Secure deployment: Runs seamlessly in Estuary’s Private or BYOC environments for data governance and compliance
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 Alpaca Market Data 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 Alpaca Market Data insights always reflect the latest data by connecting your databases to Alpaca Market Data with change data capture.
- Or connect critical SaaS apps to Alpaca Market Data 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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