Reviewed by Aditya Kumar · Last reviewed 2026-03-24
**AWS**: Mature ecosystem (S3, Glue, Athena, EMR). Strong for hybrid (DataSync, Snowball). Service sprawl—many options, steeper learning. **GCP**: Strong BigQuery (serverless SQL); Dataflow (Beam); good integration. Smaller market share; fewer third-party integrations....
AWS: Mature ecosystem (S3, Glue, Athena, EMR). Strong for hybrid (DataSync, Snowball). Service sprawl—many options, steeper learning. GCP: Strong BigQuery (serverless SQL); Dataflow (Beam); good integration. Smaller market share; fewer third-party integrations. Azure: ADLS Gen2 (hierarchical namespace); Synapse combines lake + warehouse. Strong enterprise presence; complexity in multi-service setup. Decision factors: Existing cloud commitment, team skills, compliance (region availability), cost (run TCO analysis). Best practice: Choose by organizational context; don't multi-cloud without clear reason. All support medallion architecture.
Pro-Move: 'We compared all three for our lake—chose AWS for existing investment and Glue's managed Spark; ran a 2-week POC to validate cost.' Red Flag: Recommending a cloud without mentioning org context or POC—suggests generic advice.
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