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    Move your data from Alpaca Market Data with your free account

    Capture data from Alpaca Market Data 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
    Try it freeWatch Demo
    01. Move from Alpaca Market Data02. Transform in-flight03. Select a destination
    Alpaca Market Data logo
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    Alpaca Market Data logo

    Alpaca Market Data connector details

    Estuary’s Alpaca connector brings both historical and live stock trade data into Estuary 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

    For more details about the Alpaca Market Data connector, check out the documentation page.

    How to connect Alpaca Market Data to your destination in 3 easy steps

    1. 1

      Connect Alpaca Market Data as your data source

      Securely connect Alpaca Market Data and choose the objects, tables, or collections you need to sync.

    2. 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. 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.

    Get Started Free

    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.

    4.8/5

    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 Alpaca Market Data using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

    • Connect Alpaca Market Data to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
    • Capture once and reuse Alpaca Market Data data across transformations and multiple downstream destinations without rebuilding source extraction.

    See where you can send Alpaca Market Data data:

    Details

    or choose from these popular destinations:

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    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

    EstuaryBatch ELT/ETLDIY PythonKafka
    Price$$$-$$$$$-$$$$$-$$$$
    Latency<100ms to scheduled5min+Varies<100ms
    EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
    Scale
    Maintenance EffortLowMediumHighHigh

    One platform for real-time and batch data pipelines

    Detailed Comparison

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

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    Connection-1

    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.