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REAL-TIME ETL & CDC

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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
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01. Move from Bing Ads02. Transform in-flight03. Select a destination
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Bing Ads connector details

The Bing Ads connector captures campaign, keyword, and performance report data from Microsoft Advertising into Flow collections using the Bing Ads API. It supports various reporting intervals, making it ideal for periodic marketing analytics and spend tracking.

  • Captures account, campaign, ad, and keyword performance reports (hourly, daily, weekly, monthly)
  • Supports OAuth2 authentication with Microsoft Advertising developer credentials
  • Optional lookback window to recapture late conversions or updates
  • Secure and scalable for large reporting datasets
  • Works seamlessly within Estuary’s Private and BYOC environments for compliance and governance

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

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

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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
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