Summary - Amazon IoT Analytics
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

End of support notice: On December 15, 2025, Amazon will end support for Amazon IoT Analytics. After December 15, 2025, you will no longer be able to access the Amazon IoT Analytics console, or Amazon IoT Analytics resources. For more information, visit this Amazon IoT Analytics end of support.

Summary

Migrating your Amazon IoT Analytics workload from Amazon IoT Analytics to Amazon Kinesis Data Streams, Amazon S3, and enhances your ability to handle large-scale, complex Amazon IoT data. This architecture provides scalable, durable storage and powerful analytics capabilities, enabling you to gain deeper insights from your IoT data in real-time.

Cleaning up resources created using Amazon CloudFormation is essential to avoid unexpected costs once the migration has completed.

Refer to the Amazon IoT Analytics pricing page for costs involved in data migration. Consider deleting the newly created dataset when finished to avoid any unnecessary expenses.

Full dataset export: To export the complete dataset without any time-based splitting, you can also use Amazon IoT Analytics console and set a content delivery rule accordingly.

By following the migration guide, you can seamlessly transition your data ingestion and processing pipelines, ensuring continuous and reliable data flow. Leveraging Amazon Glue and Amazon Athena further simplifies data preparation and querying, allowing you to perform sophisticated analyzes without managing any infrastructure.

This approach empowers you to scale your Amazon IoT Analytics efforts effectively, making it easier to adapt to the growing demands of your business and extract maximum value from your Amazon IoT data.