Stream data from Facebook Ads (Meta) to SingleStore Dekaf
Move data from Facebook Ads (Meta) to SingleStore Dekaf in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
- No credit card required
- 30-day free trial


- 200+Of connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Facebook Ads (Meta) with SingleStore 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 SingleStore 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 SingleStore 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 Estuary 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.

SingleStore Dekaf connector details
The SingleStore (Dekaf) connector streams Estuary collections as Kafka-compatible messages that can be consumed directly by SingleStore pipelines. It enables real-time data ingestion from Estuary into SingleStore’s distributed SQL engine for hybrid transactional and analytical workloads.
- Real-time delivery: Streams collection updates to SingleStore pipelines over Kafka in Avro format.
- High-performance integration: Leverages SingleStore’s native ingestion pipeline for low-latency, scalable data flow.
- Simple authentication: Uses a configurable auth token as both the Kafka and Schema Registry credential.
- Flexible configuration: Each Estuary collection is published as a separate Kafka topic for easy mapping.
- Deletion handling: Supports both standard Kafka-style deletes and CDC deletion modes for downstream processing.
- Quick setup: Define a pipeline in SingleStore with the
LOAD DATA KAFKAcommand and start ingesting immediately.
💡 Tip: Use ReplacingMergeTree or similar table engines in SingleStore when handling CDC deletions to maintain accurate, up-to-date data states across real-time pipelines.
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
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 SingleStore Dekaf pricing estimate
Estimated monthly cost to move 800 GB from Facebook Ads (Meta) to SingleStore Dekaf is approximately $1,000.
Data moved
Choose how much data you want to move from Facebook Ads (Meta) to SingleStore Dekaf each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



What customers are saying
Getting started with Estuary
Free account
Getting started with Estuary is simple. Sign up for a free account.
Sign upDocs
Make sure you read through the documentation, especially the get started section.
Learn moreCommunity
Join the Slack community for the easiest way to get support while getting started.
Join Slack CommunityEstuary 101
Watch the Estuary 101 webinar for a guided introduction to using Estuary.
Watch

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 SingleStore 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.
Related articles
DekafHow to Stream MongoDB Data to ClickHouse in Real Time

DekafHow to Move Data from Snowflake to ClickHouse: Real-Time, No-Code Guide

DekafHow to Integrate Salesforce with ClickHouse in Real Time (No Code, No Kafka)

TutorialHow to Replicate MySQL to ClickHouse in Real Time Using CDC (In Minutes)

DekafHow to Move Data from SQL Server to ClickHouse (No Code Needed)

TutorialPostgreSQL to ClickHouse: Real-Time Streaming with CDC

Related integrations with Facebook Ads (Meta)
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.





































