Stream data from Bing Ads to Amazon S3 Parquet
Move data from Bing Ads to Amazon S3 Parquet in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Bing Ads with Amazon S3 Parquet in 3 simple steps
Connect Bing Ads as your data source
Set up a source connector for Bing Ads in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
Configure Amazon S3 Parquet as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to Amazon S3 Parquet.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.

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

Amazon S3 Parquet connector details
The Amazon S3 Parquet materialization connector writes delta updates from Estuary Flow collections to an Amazon S3 bucket in Apache Parquet format, providing efficient, columnar storage optimized for analytics and downstream data lake use cases.
- Data format: Outputs batched delta updates as Parquet files for compact, query-ready storage
- Upload scheduling: Configure upload intervals and file size limits to control data batching frequency
- Flexible authentication: Supports both AWS Access Keys and IAM roles for secure access
- Schema-aware typing: Automatically maps Flow collection field types to equivalent Parquet data types
- File versioning: Organizes files by path and version counters for easy traceability and reprocessing
- Scalable and compatible: Works with AWS S3 and S3-compatible APIs, such as MinIO or Wasabi
💡 Tip: Use this connector to build cost-efficient, analytics-ready data lakes by streaming Flow data to S3 in Parquet format, ready for querying in Athena, Snowflake, or Databricks.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.

Bing Ads to Amazon S3 Parquet pricing estimate
Estimated monthly cost to move 800 GB from Bing Ads to Amazon S3 Parquet is approximately $1,000.
Data moved
Choose how much data you want to move from Bing Ads to Amazon S3 Parquet each month.
GB
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Why pay more?
Move the same data for a fraction of the cost.



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What customers are saying
Why Estuary is the best choice for data integration
Estuary combines streaming and batch data movement capabilities into a unified modern data pipeline. This approach simplifies building and operating pipelines like Bing Ads to Amazon S3 Parquet without custom code or orchestration.

Increase productivity 4x
With Estuary companies increase productivity 4x and deliver new projects in days, not months. Spend much less time on troubleshooting, and much more on building new features faster. Estuary decouples sources and destinations so you can add and change systems without impacting others, and share data across analytics, apps, and AI.
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Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this Bing Ads to Amazon S3 Parquet integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
DataOps made simple
Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Estuary's rich CLI.






































