Looker for Amazon Redshift
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. DBAs and analysts can leverage the Amazon Redshift Admin Block to explore data related to table load times ETL cycles, or use the Amazon Redshift Performance Optimization Block to understand how table distribution is driving performance by drilling into query-level detail.
Looker for Amazon Athena
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. Use Amazon Athena’s flexible and serverless architecture to deploy the AWS Cost & Usage Block in minutes to help you understand your AWS utilization. You can also use Looker and Amazon Athena to analyze the rich amount of usage data using the AWS Security and Monitoring Block.
Looker for Amazon RDS
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.
Looker for Amazon EMR
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.
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