Azure vs AWS vs GCP: How they handle the entire data pipeline
Here’s a quick breakdown of how the 3 cloud giants handle each stage of the modern data pipeline:
From ingestion to dashboards — all in one thread.
1/ Data Ingestion
Efficient data collection is the foundation.
Here’s how each cloud handles it:
🔹 Azure: Data Factory for batch + hybrid pipelines
🔸 AWS: Kinesis + Data Pipeline for real-time + scheduled ingestion
🟢 GCP: Pub/Sub + Dataflow for scalable, event-driven streaming
2/ Data Lakes
The cloud’s version of your data dumping ground — but smarter.
🔹 Azure: ADLS Gen2 supports hierarchical namespaces + analytics-ready format
🔸 AWS: Lake Formation simplifies setup, permissions, and governance
🟢 GCP: BigQuery Omni allows analysis across cloud providers (yes, even AWS/Azure!)
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