Get started with interactive analytics using Amazon Athena for Apache Spark in under a second to analyze petabytes of data. Interactive Spark applications start instantly and run faster with our optimized Spark runtime, so you spend more time on insights, not waiting for results. Build Spark applications using the expressiveness of Python with a simplified notebook experience in an Athena console or through Athena APIs. With the Athena serverless, fully managed model, there are no resources to manage, provision, and configure and no minimum fee or setup cost. You only pay for the queries that you run.
Accelerate time to insights
Spend more time on insights, not on waiting for results. Interactive Spark applications start in under a second and run faster with our optimized Spark runtime.
Harness Spark for complex, powerful analytics
Use the expressiveness of Python with the popular open-source Spark framework to seek more complex insights from your data. Use notebooks to query data, chain calculations, and visualize results.
Build applications without managing resources
Run Spark applications cost-effectively, without provisioning and managing resources. Build Spark applications without worrying about Spark configurations or version upgrades.
Work with your data where it lives
Work with data in various data lakes, in open-data formats, and with your business applications without moving the data. Use data discovered and categorized by AWS Glue to build your Spark insights.
Explore data where it lives
Use Athena and AWS Glue to explore datasets and work with data.
Generate insights across multiple datasets
View various datasets and data formats together to formulate insights.
Connect your business applications with data
Build SaaS applications that use Athena for Apache Spark to interactively work with data.
Bring your data lakes and ML together
Explore data stores to generate sample datasets and interactive feature generation.