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Case studyData engineering & the warehouse/lakehouseAWSGoogle Cloud
AWS Big Data Blog · Read source ↗

Talabat, a major app in the Middle East and North Africa, has implemented a hybrid multi-cloud lakehouse using Apache Iceberg. This setup allows for near-real-time analytics by storing a single copy of streaming data on Amazon S3 Tables while enabling Google BigQuery to query it directly, avoiding data duplication and synchronization issues.

MyDataWork POV — The hype around talabat's multi-cloud lakehouse glosses over a critical point: the complexity of maintaining seamless operations across AWS and Google Cloud. While eliminating data duplication is attractive, the claim of seamless querying across clouds assumes flawless cross-platform compatibility and performance—something rarely achieved without hiccups. The cost of managing such a sophisticated setup, both in terms of infrastructure and expertise, remains unproven. Until we see detailed case studies on sustained efficiency and ROI, skepticism is healthy.
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