Reduce AWS IoT Analytics
costs with these tips

These proven tips can save you up to 30% on AWS costs!

* Savings are averaged out across customers & services

AWS IoT Analytics cost saving tips Optimize your AWS IoT Analytics costs with these tips

#1

Use Free Tier Limits

For the first 12 months, AWS IoT provides 100 MB of Data in Pipelines, and 10 GB of both Processed/Raw Data Storage and scanned data for Query Execution, free of charge. Utilize these generous limits to minimize costs.

#2

Prune Underused Data

Identify and trim underutilized data sources with the help of AWS Cost Explorer and Trusted Advisor services. This will reduce storage costs over time.

#3

Filter and Aggregate Data

Reduce raw device data volume by implementing filtering and aggregation in IoT Analytics pipelines. By configuring pipelines to filter outliers or aggregate data at higher intervals, data-related costs can be minimized.

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John Schrijvers
John Schrijvers
CEO of Dataswitcher

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About AWS IoT Analytics Service information & pricing

About AWS IoT Analytics

AWS IoT Analytics is a fully managed operational system for IoT devices, simplifying the analysis of large IoT data and reducing cost and complexity. The system enables custom code container importation and supports analysis with hosted Jupyter notebooks. It can clean, enrich, and store device data in time-series format, integrates with Amazon QuickSight for device analysis and trend visualization, and includes a SQL query engine for IoT data enrichment.

↗ More information on AWS website

AWS IoT Analytics pricing

AWS IoT Analytics charges for data processing, storage, query execution, and custom analysis. Costs vary based on data volume in GBs for processing and TBs for query execution. Storage costs differ for time-optimized and raw S3-stored data. Custom analysis cost depends on ACU usage, providing 4 vCPUs and 16 GB memory. AWS Free Tier grants limited monthly usage, with additional charges levied beyond limits.

↗ More information on AWS website

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