Estuary
WEBINARS
  • Estuary 101 Webinar
    Watch Estuary 101
PricingConnectors
SUCCESS STORIES
Glossier

Glossier slashes data costs by 50% and unlocks real-time supply chain and marketing analytics with Estuary.

Xometry

Xometry slashed integration costs by 60% with Estuary’s secure, real-time private deployment

Prodege

Data Integration for Apache Iceberg

View all success stories
READ
Blog
Blog
Product Updates
Product Updates
Docs & Guides
About us
About us
Status
Status
The Right Time Data Manifesto
The Right Time Data Manifesto
Snowflake Ingestion Whitepaper
Snowflake Ingestion Whitepaper
LISTEN
Podcasts
Podcasts
Webinars
Webinars
Youtube
YouTube
DEMO
  • Estuary Flow Product demo
    Play Interactive Demo
  • Deploy CDC and Streaming ETL in Minutes Using Estuary Flow
    Real-time 101 (30 min)
    Log inTry it Free
    Log inTry it Free
    icon
    REAL-TIME ETL & CDC

    Stream into Azure Blob Storage Parquet 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. Select a source02. Transform in-flight03. Deliver to Azure Blob Storage Parquet
    Azure Blob Storage Parquet logo
    take a tour
    Azure Blob Storage Parquet logo

    Azure Blob Storage Parquet connector details

    The Azure Blob Parquet connector exports delta updates from Estuary Flow 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 Flow 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 Flow field 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

    Connect your data source

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

    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 Azure Blob Storage Parquet

    Continuously or periodically deliver data into 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
    icon-2

    HIGH THROUGHPUT

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

    icon-3

    DURABLE REPLICATION

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

    icon-1

    REAL-TIME INGESTION

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

    Real-timehigh throughput

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

    See how you can integrate any source with Azure Blob Storage Parquet:

    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
    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$$$-$$$$$-$$$$$-$$$$
    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

    Build Free PipelineJoin Our Slack Community
    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.