Best Time Series Intelligence Software for Amazon Web Services (AWS)
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Compare the Top Time Series Intelligence Software that integrates with Amazon Web Services (AWS) as of December 2025
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This a list of Time Series Intelligence software that integrates with Amazon Web Services (AWS). Use the filters on the left to add additional filters for products that have integrations with Amazon Web Services (AWS). View the products that work with Amazon Web Services (AWS) in the table below.
What is Time Series Intelligence Software for Amazon Web Services (AWS)?
Time series intelligence software enables organizations to generate insights from raw time series data. Time series intelligence software, sometimes referred to as time series analytics software, provides features so that data teams can conduct analysis, visualize trends, forecast, and predict outcomes based on time series data. Compare and read user reviews of the best Time Series Intelligence software for Amazon Web Services (AWS) currently available using the table below. This list is updated regularly.
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1
Circonus
Circonus
The Circonus Platform is the only monitoring and analytics platform capable of handling unprecedented data volume, up to billions of metric streams, in real time to drive critical business insight and value. If your business depends on your ability to perform, Circonus is for you. The Circonus Platform makes it easy to seamlessly integrate any technology, at any scale, for out-of-the-box, full-stack integration via its API in minutes. Circonus enables customers to connect their systems, and visualize and monitor their data in real time. The Circonus Platform’s patented histogram technology enables unparalleled handling of high sampling frequencies, at intervals as fast as a millisecond, allowing users to see a more complete and real-time picture of their underlying systems. In addition, machine learning capabilities provide predictive, highly accurate insights that give customers a strategic advantage in building business value.Starting Price: $5 per month -
2
Sedai
Sedai
Sedai is an autonomous cloud management platform powered by AI/ML delivering continuous optimization for cloud operations teams to maximize cloud cost savings, performance and availability at scale. Sedai enables teams to shift from static rules and threshold-based automation to modern ML-based autonomous operations. Using Sedai, organizations can reduce cloud cost by up to 50%, improve performance by up to 75%, reduce failed customer interactions (FCIs) by 75% and multiply SRE productivity by up to 6X for their modern applications. Sedai can perform work equivalent to a team of cloud engineers working behind the scenes to optimize resources and remediate issues, so organizations can focus on innovation.Starting Price: $10 per month -
3
Nixtla
Nixtla
Nixtla is a platform for time-series forecasting and anomaly detection built around its flagship model TimeGPT, described as the first generative AI foundation model for time-series data. It was trained on over 100 billion data points spanning domains such as retail, energy, finance, IoT, healthcare, weather, web traffic, and more, allowing it to make accurate zero-shot predictions across a wide variety of use cases. With just a few lines of code (e.g., via their Python SDK), users can supply historical data and immediately generate forecasts or detect anomalies, even for irregular or sparse time series, and without needing to build or train models from scratch. TimeGPT supports advanced features like handling exogenous variables (e.g., events, prices), forecasting multiple time-series at once, custom loss functions, cross-validation, prediction intervals, and model fine-tuning on bespoke datasets.Starting Price: Free -
4
Waylay
Waylay
Modular IoT platform providing best-of-breed OEM technology for back-end development and operations, enabling accelerated IoT solution delivery at scale. Advanced rule logic modeling, execution and lifecycle management. Automate any data workflow, from the simple to the complex. The Waylay platform is built from the ground up to natively cope with the multiple data patterns of IoT, OT and IT. Leverage streaming and time series analytics within the same collaborative intelligence platform. Accelerate the time to market of your IoT solutions by easily delivering self-service and KPI-centric apps to non-developer teams. Find out what automation tools are best suited to your IoT use case, then test them against the benchmark. IoT application development is fundamentally different from “normal” IT development. It requires bridging the physical world of Operations Technology (OT) with sensors, actuators and gateways to the digital world of Information Technology (IT) with databases.
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