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Amazon Timestream for InfluxDB would be an excellent alternative to Timestream for LiveAnalytics for your IoT Core application. It offers similar capabilities with simplified data ingestion and single-digit millisecond query response times for real-time analytics.
Timestream for InfluxDB integrates seamlessly with Grafana, which was mentioned as a requirement for your project. It's designed to work with all services and tools that are compatible with open-source InfluxDB, making it a suitable replacement for your IoT data visualization needs.
For your IoT Core application specifically, you can collect data from your IoT devices and store it in a Timestream database using AWS IoT Core rule actions, similar to how you were likely doing with Timestream for LiveAnalytics.
Other potential alternatives within the AWS ecosystem that integrate with IoT workloads include Amazon Aurora RDS (PostgreSQL) with time-based partitioning, though Timestream for InfluxDB would likely be more optimized for your time-series IoT data use case, especially if you need features like automatic data lifecycle management, high scalability for time-series data, and optimized query performance for time-based operations.
Sources
Working with other services - Amazon Timestream
Working with other services - Amazon Timestream
Use cases for Timestream vs Aurora RDS | AWS re:Post
Amazon Timestream FAQs – Time-Series Database – AWS
Hi Kartheek,
The below documents provide more details on integrating Grafana with InfluxDB:
- [-] Grafana - https://docs.aws.amazon.com/timestream/latest/developerguide/other-services-influxdb-grafana.html
- [-] Integrate open source InfluxDB and Grafana with AWS IoT to visualize time series data - https://aws.amazon.com/blogs/iot/influxdb-and-grafana-with-aws-iot-to-visualize-time-series-data/
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asked 2 years ago

Hi @Makendran G,
You reviewed the above query. Can you please tell me how can i configure AWS IoT core and Grafana with InfluxDB. Any documentation or video session would be greatful.
Thanks, Kartheek