---
title: "Cloudflare Data Platform - Ingest, Catalog & Query"
description: "Build analytics-ready data warehouses and lakehouses on R2. Stream events via Pipelines, catalog tables with Apache Iceberg, and query with R2 SQL or any compatible engine—all without egress fees."
url: "https://www.cloudflare.com/products/data-platform"
---

# Data Platform

> Build analytics-ready data warehouses and lakehouses on R2. Stream events via Pipelines, catalog tables with Apache Iceberg, and query with R2 SQL or any compatible engine—all without egress fees.

## Benefits

### Zero egress fees

Query your data from any cloud, data platform, or region without incurring transfer costs. R2 never charges for egress.

### Always fast

Automatic table maintenance, such as compaction and snapshot expiration, keeps your data performant without the need for scheduling manual maintenance tasks.

### Serverless ingestion

Stream and process events via HTTP endpoints or Workers bindings. No Apache Kafka, no Apache Flink, no infrastructure management.

### SQL at the edge

Query Iceberg tables directly with R2 SQL or the wrangler CLI. Distributed compute, automatic file pruning.

### No infrastructure

No servers to provision, no clusters to manage. Just define a schema, stream data, and query.

### Open table format

Apache Iceberg tables means your data is accessible by your favorite query engines—Apache Spark, Snowflake, Trino, DuckDB, and more—via R2 Data Catalog's standard Iceberg REST API.

## Use Cases

### Log analytics at scale

Ingest server logs, application events, and telemetry data. Query with SQL to debug issues, track performance, and build operational dashboards.

### Business intelligence pipelines

Stream clickstream data, user events, and transactions. Connect your BI tools directly to Iceberg tables for real-time reporting.

### ETL without the infrastructure

Transform data with SQL at ingestion time. Filter, enrich, and validate before writing to storage—no separate ETL service required.

### Multi-cloud analytics

Store data once in R2, query from anywhere. Run Spark jobs in AWS, Snowflake queries from your data warehouse, or DuckDB locally—all hitting the same tables.

## Resources

- [Full Documentation](https://developers.cloudflare.com/r2/data-catalog/): Complete technical documentation
- [Get Started](https://dash.cloudflare.com/sign-up): Sign up and start building
- [Pricing](/plans.md): See pricing details

## Related Products

- [Artifacts](/products/artifacts.md): Git-native versioned storage
- [Cache Reserve](/products/cache-reserve.md): Persistent caching for static content
- [D1](/products/d1.md): Serverless SQL
- [Hyperdrive](/products/hyperdrive.md): Global databases

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*This is a markdown version of [https://www.cloudflare.com/products/data-platform](https://www.cloudflare.com/products/data-platform) for AI/LLM consumption.*