AWS IoT Analytics
IoT analytics platforms
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is AWS IoT Analytics
AWS IoT Analytics is a managed cloud service for ingesting, processing, storing, and analyzing IoT device data in AWS. It supports building data pipelines that clean and transform time-series telemetry and make it available for querying and downstream analytics. Typical users include IoT application teams, data engineers, and analysts working on connected product, industrial, and operations monitoring use cases. The service is designed to integrate tightly with other AWS IoT and analytics services for end-to-end workflows.
Managed IoT data pipelines
The service provides managed components for ingest, transform, and store IoT telemetry without requiring customers to operate their own pipeline infrastructure. It supports common IoT data preparation needs such as filtering, enrichment, and structuring data for analysis. This can reduce operational overhead compared with assembling and maintaining multiple self-managed components. It fits teams that already standardize on AWS for device connectivity and data processing.
Tight AWS ecosystem integration
AWS IoT Analytics is designed to work with adjacent AWS services for device ingestion, storage, and analytics workflows. This enables building end-to-end solutions that move from device data collection to curated datasets and analysis within a single cloud provider. It can simplify identity, permissions, and data movement when the rest of the stack is already on AWS. The approach is useful for organizations that want consistent governance through AWS IAM and related controls.
Scales for IoT telemetry volumes
The service targets high-volume, time-series IoT data patterns and supports continuous ingestion and processing. It is suited to use cases where device fleets generate frequent measurements that need normalization and query-ready storage. As a managed service, scaling is handled by AWS rather than by customer-managed clusters. This can be advantageous for teams with variable workloads and limited platform operations capacity.
AWS-centric architecture lock-in
The service is tightly coupled to AWS services, APIs, and operational models. Organizations running multi-cloud or on-prem-first strategies may need additional integration work to connect external data sources and tools. Migrating pipelines and datasets to a different environment can require re-implementation rather than lift-and-shift. This can be a constraint for long-term portability requirements.
Not a full BI experience
AWS IoT Analytics focuses on preparing and querying IoT data rather than providing a complete business intelligence layer. Teams often pair it with separate visualization, dashboarding, or advanced analytics tools to deliver end-user reporting. This adds solution complexity and requires additional product selection and governance. Users expecting an all-in-one analytics UI may find the native experience limited.
Cost and governance complexity
Costs can become difficult to predict when ingestion rates, retained history, and query frequency vary across device fleets. Managing permissions, data retention, and dataset lifecycle across multiple AWS services can also increase governance effort. Teams may need FinOps practices and careful pipeline design to control spend. This is especially relevant for large-scale telemetry with long retention requirements.
Plan & Pricing
Pricing model: Pay-as-you-go (usage-based).
Free tier/trial: AWS Free Tier — first 12 months free for new AWS customers with monthly limits: 100 MB of data processed in pipelines; 10 GB processed-data storage; 10 GB raw-data storage; 10 GB of data scanned for query execution. (This is a time-limited 12‑month free-tier, not a permanent free plan.)
Key example costs (listed on the AWS official pricing page; prices shown are examples/region-specific where indicated):
- Pipeline (data processing): $0.20 per GB of data processed. All data measured in MB and requests are evaluated at a minimum of 10 MB.
- Processed-data storage: $0.03 per GB‑month.
- Raw-data storage: charged at Amazon S3 standard rates (page gives an example S3 rate of $0.023 per GB‑month for US East as an example region).
- Query execution (SQL queries over processed data): $6.50 per TB of data scanned; requests evaluated at a minimum of 10 MB.
- Custom analysis compute (Analytics Compute Unit, ACU): $0.36 per hour (billed in 1‑second increments). 1 ACU = 4 vCPU + 16 GB memory. AWS IoT Analytics provides up to 40 GB of EBS storage per analysis at no additional charge; contact AWS if you require more.
Notes / Measurement:
- All data volumes are measured in MB; queries have a 10 MB minimum evaluation.
- Raw data stored by IoT Analytics is billed at S3 rates (see Amazon S3 pricing for exact regional rates).
Discounts / enterprise pricing:
- The pricing page offers a "Request a pricing quote" / contact sales option for custom/enterprise needs; the page does not list specific volume-commitment discounts or fixed subscription tiers for IoT Analytics on the public pricing page.
Important product status note (from the official AWS pricing page): AWS announced end of support for AWS IoT Analytics on December 15, 2025; after that date customers will not be able to access the console or IoT Analytics resources. This may affect availability of the service and the applicability of the pricing shown on the page.
Seller details
Amazon Web Services, Inc.
Seattle, Washington, USA
2006
Subsidiary
https://aws.amazon.com/
https://x.com/awscloud
https://www.linkedin.com/company/amazon-web-services/
