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As more and more customers are migrating to cloud and starting to use different cloud services, there is more and more frequent situation, when it is hard to understand, whether there is already service or tool in the existing landscape, which covers a business scenario or it is necessary to buy and implement a new one.

This short blog post with only one table is aimed to draw high-level analogy between SAP, Microsoft, Google and Amazon cloud services and tools in the area of analytics.

It is important to say, that it is not a comparison or statement, what to use in which situation, but only an attempt to take a look at the current analytical enterprise needs from technology perspective, rather than from marketing.

The listed in the first column business cases, for sure, do not cover all possible big scenarios, but only main of them.

Business need SAP Microsoft GCP Amazon
Limitless analytics service with unmatched time to insight Data Warehouse Cloud Azure Synapse Analytics Cloud Data Fusion/BigQuery/Dataproc Redshift
Apache Spark based analytics platform  SAP HANA Cloud Azure Databricks BigQuery/Dataproc/Cloud Dataflow EMR
Fully managed cloud Hadoop and Spark service SAP HANA Cloud HDInsight Dataproc EMR
A data integration service to orchestrate and automate data movement and transformation Data Intelligence/BTP Integration Suite Data Factory Cloud Data Fusion Data Pipeline/Glue
Open and elastic AI development Data Intelligence and AI Core Azure Machine Learning Vertex AI SageMaker
Real-time data stream processing  SAP Streaming Analytics Azure Stream Analytics Cloud Pub/Sub Kinesis
On-demand analytics service with enterprise-grade security, auditing, and support Data Intelligence Data Lake Analytics Dataproc/BigQuery S3 + Athena
Enterprise grade analytics engine as a service Data Warehouse Cloud Azure Analysis Services BigQuery Kinesis
A hyper-scale telemetry ingestion service that collects, transforms, and stores millions of events Event Mesh Event Hubs Cloud Pub/Sub Kinesis Firehose + Kinesis Streams
Scalable data exploration service Analytics Cloud Azure Data Explorer BigQuery Amazon Timestream
Service for sharing big data with external organizations Data Hub Azure Data Share Datashare Toolkit Lake Formation
IoT analytics platform to monitor, analyze, and visualize industrial IoT data at scale SAP Internet of Things Azure Time Series Insights BigQuery Amazon Timestream