Amazon Athena is an interactive query service that simplifies data analysis in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to set up or manage, and you only pay for the resources your query needs to run. Use Athena to process logs, perform data analytics, and run interactive queries. Athena automatically scales and completes queries in parallel, so results are fast, even with large datasets and complex queries.

Amazon EMR is a big data processing service that accelerates analytics workloads with unmatched flexibility and scale. EMR features performance-optimized runtimes for Apache Spark, Trino, Apache Flink, and Apache Hive, drastically cutting costs and processing times. The service integrates seamlessly with AWS, simplifying data lake workflows and enterprise-scale architectures. With built-in auto-scaling, intelligent monitoring, and managed infrastructure, EMR lets you focus on extracting insights—not managing clusters—delivering petabyte-scale analytics efficiently without the operational overhead of traditional solutions.

AWS Glue is a serverless service that makes data integration simpler, faster, and cheaper. You can discover and connect to more than 100 diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor data pipelines to load data into your data lakes, data warehouses, and lakehouses. With built-in generative AI capabilities, you can modernize Apache Spark jobs and develop faster with intelligent assistance for ETL authoring and Spark troubleshooting.

SageMaker delivers an integrated experience for analytics and AI with unified access to all your data. Collaborate and build faster from a unified studio using familiar AWS tools for model development in SageMaker AI (including HyperPod, JumpStart, and MLOps), generative AI, data processing, and SQL analytics, accelerated by Amazon Q Developer. Access all your data, whether it’s stored in data lakes, data warehouses, or third-party or federated data sources, with governance built in to meet enterprise security needs.

Amazon Redshift is built on cloud economics that scale with your usage—powering modern analytics and autonomous agentic AI workloads on your data warehouse. Redshift delivers up to 2.2x better price-performance and 7x better throughput than other cloud data warehouses. Redshift’s new Graviton-based RG instances run data warehouse and data lake workloads up to 2.4x as fast as previous generation RA3 instances at 30% lower price per vCPU and includes an integrated data lake query engine.

OpenSearch Service is an AWS-managed service that lets you run and scale OpenSearch clusters without having to worry about managing, monitoring, and maintaining your infrastructure. OpenSearch is a distributed, community-driven, Apache 2.0-licensed, open-source search and analytics suite. OpenSearch Service reduces operational overhead, provides enterprise-grade security, high availability, and scalability, and enables you to quickly deploy real-time search, analytics, and generative AI applications.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a streaming data service that manages Apache Kafka infrastructure and operations, making it easier for developers and DevOps / platform engineers to run Apache Kafka applications and Apache Kafka Connect connectors on AWS—without becoming experts in operating Apache Kafka. Amazon MSK operates, maintains, and scales Apache Kafka clusters, provides enterprise-grade security features out of the box, and has built-in AWS integrations that accelerate development of streaming data applications.