Amazon is the world's largest public cloud with 90+ services. Amazon Web Services offers popular big data services like Redshift, EMR, RDS, Athena and others.
Amazon Redshift is a fully managed, high-performance MPP data warehouse that can scale with your business thanks in part to the Spectrum feature, while costing an order-of-magnitude less than legacy data warehousing solutions. Organizations that have adopted Amazon Redshift + Looker get a performant and intuitive end-user experience. The solution allows employees to quickly drill down to row-level detail (at any scale) to get the insights they need.
Amazon Athena is a serverless, interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. As one of the first partners to support Athena, we understand the need for speed. Amazon Athena automatically executes queries in parallel, so most results come back within seconds and because Looker leverages Athena directly via the JDBC driver, you don’t lose any of that speed. No extra steps or data ingestion, just performant queries on huge datasets in S3.
Amazon Relational Database Services (RDS) gives companies access to Amazon Aurora, MySQL, PostgreSQL, Microsoft SQL Server or Oracle in the cloud. Looker and RDS combine the ease of creating an analytics infrastructure that’s scalable and cost-effective with a modern web-based approach to BI so anyone in your organization can access the data they need to thrive.
Amazon EMR provides a managed Hadoop framework that makes it easy, fast, and cost-effective to process vast amounts of data across dynamically scalable Amazon EC2 instances. Looker and EMR allow interactive querying and analysis of large datasets using Presto, Hive or Spark directly in-cluster.