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    Stream into Azure Blob Storage Parquet with your free account

    Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Azure Blob Storage Parquet using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.

    • <100ms to batch
    • 200+ connectors
    • Managed data pipelines
    Try it freeWatch Demo
    01. Select a source02. Transform in-flight03. Deliver to Azure Blob Storage Parquet
    Azure Blob Storage Parquet logo
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    Azure Blob Storage Parquet logo

    Azure Blob Storage Parquet connector details

    The Azure Blob Parquet connector exports delta updates from Estuary collections into Apache Parquet files stored in an Azure Blob Storage container, combining cost-efficient storage with analytics-ready formatting.

    • Efficient delta materialization: Writes only new and updated records from collections, ensuring minimal overhead and optimal storage use.
    • Parquet format optimization: Stores data in the columnar Parquet format for better compression and query performance in downstream analytics tools.
    • Configurable upload behavior: Supports adjustable upload intervals, file size limits, and row group configurations for fine-grained control.
    • Seamless Azure integration: Uses your storage account name, key, and container to authenticate securely and store data reliably.
    • Organized file structure: Automatically versions and names files in lexically sortable order for consistent and recoverable output.
    • Flexible schema mapping: Converts field data types into compatible Parquet data types, preserving structure and precision.

    💡 Tip: Use shorter upload intervals for time-sensitive analytics, or increase row group limits to optimize read performance in engines like Synapse or Databricks.

    For more details about the Azure Blob Storage Parquet connector, check out the documentation page.

    How to connect your data source to Azure Blob Storage Parquet in 3 easy steps

    1. 1

      Connect your data source

      Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.

    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

      Sync to Azure Blob Storage Parquet

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

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    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. Bring data from databases, SaaS apps, APIs, files, and event streams into Azure Blob Storage Parquet, with capture and delivery cadence based on connector capabilities and pipeline configuration.

    • Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Azure Blob Storage Parquet through Estuary.
    • Transform and route data through Estuary collections before delivering it to Azure Blob Storage Parquet.

    See what you can connect to Azure Blob Storage Parquet:

    Details

    or choose from these popular data sources:

    PostgreSQL logo
    PostgreSQL
    MySQL logo
    MySQL
    SQL Server via CDC logo
    SQL Server via CDC
    MongoDB logo
    MongoDB
    Apache Kafka logo
    Apache Kafka
    BigQuery logo
    BigQuery
    Snowflake Data Cloud logo
    Snowflake Data Cloud

    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.