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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
Criteo connector details
The Criteo connector imports advertising, campaign, and performance data from the Criteo API into Estuary Flow collections. It’s designed to simplify ad performance tracking and unify Criteo insights with other marketing datasets in real time.
- Supported resources: Ad Sets, Advertisers, Audiences (legacy and new), Campaigns (legacy and preview), and Categories
- Custom reports: Configure additional report streams with your preferred dimensions, metrics, and currency options
- Authentication: Secure OAuth2 setup using Client ID, Client Secret, and Advertiser IDs
- Flexible syncs: Incremental and full-refresh modes supported per resource
- Enterprise-ready: Works seamlessly across Estuary’s Private and BYOC deployments for secure data governance
💡 Tip: Combine your Criteo ad data with sources like Meta Ads, Google Ads, or TikTok Ads in Estuary Flow to power unified cross-channel reporting pipelines.
HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.
DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.
REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from Criteo 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 Criteo insights always reflect the latest data by connecting your databases to Criteo with change data capture.
- Or connect critical SaaS apps to Criteo with real-time data pipelines.
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale |
Deliver real-time and batch data from DBs, SaaS, APIs, and more
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