Amazon is the world's largest public cloud with 90+ services. Amazon Web Services offers popular big data services like Redshift, Athena, RDS, EMR, SageMaker, RDS, Athena and others.
Redshift offers a free trial. The new Looker + Redshift Trial Experience will take it a step further by now allowing customers to seamlessly test out an entire modern data stack from data warehouse to analytics to Looker Blocks.
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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.
SageMaker makes it easy to build ML models and get them ready for training by providing everything you need to quickly connect to your training data, and to select and optimize the best algorithm and framework for your application. Looker and SageMaker streamlines data science machine learning workflows to empower business users with new insights through interactive self-service predictive metrics. This collaboration provides data scientists with data that is prepared, cleansed and filtered in a repeatable manner to promote efficiency, and rapidly surface accurate business insights for better context.