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AWS |
Azure |
Description |
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Cloud-based enterprise data warehouse (EDW) that uses massively parallel processing (MPP) to quickly run complex queries across petabytes of data. |
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A simple and safe service for sharing big data. |
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Fully managed, low latency, distributed big data analytics platform to run complex queries across petabytes of data. |
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Apache Spark-based analytics platform. |
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Managed Hadoop service. Deploy and manage Hadoop clusters in Azure. |
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Massively scalable, secure data lake functionality built on Azure Blob Storage. |
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Processes and moves data between different compute and storage services, as well as on-premises data sources at specified intervals. Create, schedule, orchestrate, and manage data pipelines. |
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A unified data governance service that helps you manage and govern your on-premises, multicloud, and software as a service (SaaS) data. |
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Stream Analytics |
Storage and analysis platforms that create insights from large quantities of data, or data that originates from many sources. |
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Business intelligence tools that build visualizations, perform ad hoc analysis, and develop business insights from data. |
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Delivers full-text search and related search analytics and capabilities. |
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Provides a serverless interactive query service that uses standard SQL for analyzing databases. |
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Use the Elastic Stack (Elastic, Logstash, and Kibana) to search, analyze, and visualize in real time. |
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