Get streamlined, near-instant startup of SQL or Apache Spark analytics workloads with a serverless experience
Build interactive, advanced analytics applications using data on-premises, in your data lake, or in cloud stores.
Gain flexibility with support for choice of language, open-data formats, open-source frameworks, and BI and machine learning (ML) tool integration.
Simple and predictable pricing – pay based on the queries you run or compute used.
Submit a single SQL query to analyze data in relational, nonrelational, object, and custom data sources running on S3, on premises or in multicloud environments.
Use ML models in SQL queries or Python to simplify complex tasks, such as anomaly detection, customer cohort analysis, and sales predictions.
Deploy a reconciliation tool with an engine built for the cloud to validate vast amounts of data effectively at scale.
Query Azure Synapse Analytics data and visualize the results with Amazon QuickSight.