Stream data from Criteo to Azure Blob Storage Parquet
Sync your Criteo data with Azure Blob Storage Parquet in minutes using Estuary for real-time, no-code integration and seamless data pipelines.
- No credit card required
- 30-day free trial


- 200+Of connectors
- 5500+Active users
- <100 msEnd-to-end latency
- 7+GB/secSingle dataflow

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.

Azure Blob Storage Parquet connector details
The Azure Blob Parquet connector exports delta updates from Estuary Flow collections into Apache Parquet files stored in an Azure Blob Storage container, combining cost-efficient storage with analytics-ready formatting.
- Efficient delta materialization: Writes only new and updated records from Flow collections, ensuring minimal overhead and optimal storage use.
- Parquet format optimization: Stores data in the columnar Parquet format for better compression and query performance in downstream analytics tools.
- Configurable upload behavior: Supports adjustable upload intervals, file size limits, and row group configurations for fine-grained control.
- Seamless Azure integration: Uses your storage account name, key, and container to authenticate securely and store data reliably.
- Organized file structure: Automatically versions and names files in lexically sortable order for consistent and recoverable output.
- Flexible schema mapping: Converts Flow field types into compatible Parquet data types, preserving structure and precision.
💡 Tip: Use shorter upload intervals for time-sensitive analytics, or increase row group limits to optimize read performance in engines like Synapse or Databricks.
How to integrate Criteo with Azure Blob Storage Parquet in 3 simple steps using Estuary
Connect Criteo as Your Real-Time Data Source
Set up a real-time source connector for Criteo in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Azure Blob Storage Parquet as Your Target
Choose Azure Blob Storage Parquet as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
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.
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Why Estuary is the best choice for data integration
Estuary combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

What customers are saying
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.
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.

Criteo to Azure Blob Storage Parquet pricing estimate
Estimated monthly cost to move 800 GB from Criteo to Azure Blob Storage Parquet is approximately $1,000.
Data moved
Choose how much data you want to move from Criteo to Azure Blob Storage Parquet each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



RELATED ARTICLE
Frequently Asked Questions
- Set Up Capture: In Estuary, go to Sources, click + NEW CAPTURE, and select the Criteo connector.
- Enter Details: Add your Criteo connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Criteo capture, and publish.
What is Criteo?
How do I Transfer Data from Criteo?
What are the pricing options for Estuary?
Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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
I highly recommend you also join the Slack community. It's the easiest way to get support while you're getting started.
Join Slack CommunityEstuary 101
I highly recommend you also join the Slack community. It's the easiest way to get support while you're getting started.
Watch

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.






































