Stream data from Facebook Ads (Meta) to Dekaf
Move data from Facebook Ads (Meta) to Dekaf in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 200+Of connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Facebook Ads (Meta) with Dekaf in 3 simple steps
Connect Facebook Ads (Meta) as your data source
Set up a source connector for Facebook Ads (Meta) 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 Dekaf 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 Dekaf.
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.

Facebook Ads (Meta) connector details
The Facebook Marketing capture connector continuously ingests campaign, ad, and performance data from the Facebook Marketing API into Estuary collections, allowing you to unify and analyze your marketing performance in real time.
- Comprehensive coverage: Supports Ads, Campaigns, Ad Sets, Insights, Custom Conversions, and more from your Facebook Business account
- Flexible authentication: Connect easily using OAuth2 in the Flow web app or configure manually with a Marketing API access token
- Custom Insights support: Select specific metrics, dimensions, and breakdowns using Facebook’s Insights API for granular reporting
- Incremental and full refresh modes: Capture both historical and continuously updated data streams
- Advanced access readiness: Built to handle high-volume syncs via Facebook’s Advanced Access permissions
💡 Tip: Use the Custom Insights feature to tailor your data capture to specific reporting dimensions like device, region, or action type — reducing unnecessary API load and optimizing performance.

Dekaf connector details
- Merge-based materializations to sync only what's changed
- Low-latency delivery from streaming and batch sources
- Automatic schema alignment so your destination matches your pipeline's evolving data
- Flexible deployment models, including BYOC and hybrid for enterprise governance
- Unified streaming + batch outputs in a single tool
- End-to-end security and compliance for sensitive data workloads
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.

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



Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
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 Facebook Ads (Meta) to Dekaf 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 Facebook Ads (Meta) to Dekaf 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.
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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.




































