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REAL-TIME ETL & CDC

Move your data from YouTube Analytics with your free account

Continuously capture streaming and batch change data from YouTube Analytics and deliver it to any destination using Estuary's pre-built no-code connectors.

  • <100ms Data pipelines
  • 200+ Connectors
  • 2-5x less than batch ELT
01. Move from YouTube Analytics02. Transform in-flight03. Select a destination
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YouTube Analytics connector details

The YouTube Analytics capture connector in Estuary captures channel and playlist performance data through the YouTube Analytics APIs and loads each selected resource into a separate Estuary collection. It supports a range of analytics reports covering audience, engagement, traffic sources, devices, playback locations, and other YouTube performance metrics.

  • API-based data capture from YouTube Analytics
  • Channel analytics, including basic performance, demographics, annotations, cards, and end screens
  • Device and operating system analytics
  • Traffic source and sharing-service analytics
  • Playback location and geographic analytics, including province-level reporting
  • Subtitle analytics
  • Playlist analytics, including basic, combined, device/OS, playback-location, province, and traffic-source reports
  • Separate Estuary collections for each selected YouTube Analytics resource
  • OAuth authentication using a Client ID, Client Secret, and Refresh Token

Each enabled analytics resource is configured as its own binding and mapped to a separate Estuary collection. The connector configuration also supports a sync mode for each selected stream; the Estuary documentation example uses incremental synchronization.

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

How to connect YouTube Analytics to your destination in 3 easy steps

  1. 1

    Connect YouTube Analytics as your data source

    Securely connect YouTube Analytics 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

    Sync to your destination

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

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All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.

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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 YouTube Analytics in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 200+ of batch and real-time connectors to move and transform data using ELT and ETL.

  • Ensure your YouTube Analytics insights always reflect the latest data by connecting your databases to YouTube Analytics with change data capture.
  • Or connect critical SaaS apps to YouTube Analytics with real-time data pipelines.

See how you can integrate YouTube Analytics with any destination:

Details

or choose from these popular data sources:

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PostgreSQL
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MySQL
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SQL Server
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MongoDB
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Apache Kafka
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Google Bigquery
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Snowflake

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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.