Category · 16 comparisons

Analytics & Data: AWS vs Azure vs Google Cloud

Every analytics & data capability, with its name on each cloud. Click a row for the full comparison and differences.

Capability	AWS	Azure	Google Cloud	Match
Data warehouse	Amazon Redshift	Microsoft Fabric Data Warehouse Azure Synapse Analytics	BigQuery	Close
Serverless SQL on a data lake	Amazon Athena	Synapse serverless SQL pool Fabric SQL analytics endpoint	BigQuery (external / BigLake tables)	Close
Managed Spark & Hadoop	Amazon EMR	Azure Databricks Azure HDInsight	Dataproc	Close
ETL / data integration	AWS Glue	Azure Data Factory	Dataflow Cloud Data Fusion	Close
Data catalog & governance	AWS Glue Data Catalog Amazon SageMaker Catalog	Microsoft Purview	Dataplex Universal Catalog	Close
Data lake permissions	AWS Lake Formation	OneLake security Microsoft Purview	BigLake Dataplex	Close
Real-time data streaming	Amazon Kinesis Data Streams	Azure Event Hubs	Pub/Sub	Close
Managed Apache Kafka	Amazon MSK	Azure Event Hubs (Kafka API)	Managed Service for Apache Kafka	Close
Stream processing	Amazon Managed Service for Apache Flink	Azure Stream Analytics	Dataflow	Close
Streaming delivery to storage	Amazon Data Firehose	Event Hubs Capture	Pub/Sub BigQuery & Cloud Storage subscriptions	Partial
Business intelligence	Amazon QuickSight	Power BI	Looker Looker Studio	Close
Search & log analytics engine	Amazon OpenSearch Service	Azure AI Search Azure Data Explorer	Vertex AI Search	Partial
Managed Apache Airflow	Amazon Managed Workflows for Apache Airflow (MWAA)	Apache Airflow jobs in Microsoft Fabric	Cloud Composer	Close
Data sharing & exchange	AWS Data Exchange	Azure Data Share	BigQuery sharing (Analytics Hub)	Close
Data clean rooms	AWS Clean Rooms	Azure Confidential Clean Rooms	BigQuery data clean rooms	Close
Unified analytics platform	Amazon SageMaker Unified Studio	Microsoft Fabric	BigQuery Studio	Partial

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