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Cloudflare as a Data Platform?
Cloudflare R2 paired with Apache Iceberg presents a compelling, low-cost architecture for lakehouses, provided teams can manage the lack of native orchestration.
What: Engineers are testing Cloudflare R2 as object storage for Apache Iceberg tables to bypass traditional cloud egress fees, though current setups require manual workflow management to replace standard ETL suites.
Why it matters: This signals an industry trend of offloading high-cost storage operations from primary cloud providers like AWS to the edge, despite the maturity gap in operational tooling.
Deep dive
- R2 eliminates egress fees, reducing total cost of ownership for data-heavy applications.
- Apache Iceberg enables ACID transactions on top of object storage, allowing for modern data lakehouse features.
- Lack of built-in orchestration requires developers to use external tools or custom scripts for table maintenance and data ingestion.
- Performance at the edge for read-heavy analytical queries is competitive with S3 but requires careful partitioning strategies.
- Cloudflare's serverless ecosystem offers a scalable alternative to traditional centralized data warehouses for specific high-volume workloads.
Decoder
- R2: Cloudflare's S3-compatible object storage service that does not charge for egress bandwidth.
- Apache Iceberg: An open table format for huge analytic datasets that provides fast query performance and ACID transactions.
- Lakehouse: A data architecture that combines the low-cost, flexible storage of a data lake with the management and performance features of a data warehouse.
Original article
Early experimentation shows R2 + Iceberg can serve as a lightweight lakehouse, but workflow orchestration remains a gap.
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