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    REAL-TIME ETL & CDC

    Move your data from OneDrive with your free account

    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
    Try it freeWatch Demo
    01. Move from OneDrive02. Transform in-flight03. Select a destination
    OneDrive logo
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    OneDrive logo

    OneDrive connector details

    This connector captures files from a specified OneDrive folder into a single Flow collection, automatically parsing supported file formats. Authentication is handled via OAuth2 in the Flow web app, making setup simple for Microsoft accounts.

    • Supports Avro, CSV, JSON, Protobuf, and W3C Extended Log formats with ZIP, GZIP, and ZSTD compression
    • Automatically detects file type and compression, with optional parser overrides for edge cases
    • Allows filtering files using matchKeys regex to capture only specific file types or paths
    • Optional ascendingKeys setting can significantly improve sync performance for time-ordered files

    Tip: If your files are written with timestamp-based names (RFC-3339), enable ascendingKeys to speed up syncs and avoid repeatedly scanning the entire folder.

    For more details about the OneDrive connector, check out the documentation page.

    How to connect OneDrive to your destination in 3 easy steps

    1

    Connect OneDrive as your data source

    Securely connect OneDrive 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

    Sync to your destination

    Continuously or periodically deliver data to your destination with support for change data capture and reliable delivery for accurate insights.

    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
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    HIGH THROUGHPUT

    Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

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    DURABLE REPLICATION

    Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

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    REAL-TIME INGESTION

    Capture and relay every insert, update, and delete in milliseconds.

    Real-timehigh throughput

    Point a connector and replicate changes from OneDrive 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 OneDrive insights always reflect the latest data by connecting your databases to OneDrive with change data capture.
    • Or connect critical SaaS apps to OneDrive with real-time data pipelines.

    See how you can integrate OneDrive with any destination:

    Details

    or choose from these popular data sources:

    PostgreSQL logo
    PostgreSQL
    MySQL logo
    MySQL
    SQL Server logo
    SQL Server
    MongoDB logo
    MongoDB
    Apache Kafka logo
    Apache Kafka
    Google Bigquery logo
    Google Bigquery
    Snowflake logo
    Snowflake

    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$$$-$$$$$-$$$$$-$$$$
    Speed<100ms5min+Varies<100ms
    EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
    Scale
    Maintenance EffortLowMediumHighHigh
    Detailed Comparison

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

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    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.