Description
InfluxDB AI is a specialized time-series analytics platform that combines high-performance time-series database capabilities with integrated machine learning for IoT, monitoring, and observability use cases. The platform provides built-in AI-powered forecasting, anomaly detection, and pattern recognition specifically optimized for temporal data at scale. With native support for time-series specific machine learning algorithms and automated feature engineering for temporal datasets, InfluxDB AI enables organizations to transform massive volumes of sensor data, metrics, and events into predictive insights without requiring specialized data science expertise.
Key Features
- Time-series optimized machine learning
- Automated anomaly detection
- Predictive forecasting for metrics
- Pattern recognition in temporal data
- Edge-to-cloud analytics pipeline
Use Cases
- Industrial IoT monitoring
- Infrastructure performance prediction
- Energy consumption forecasting
- DevOps observability
- Sensor data analytics
Pricing Model
Open-source core with tiered cloud options
Integrations
IoT platforms, Monitoring systems, Visualization tools, Cloud infrastructure services, Industrial control systems
Target Audience
IoT developers, DevOps engineers, SRE teams, Industrial data analysts, System monitoring specialists
Launch Date
2021
Available On
Cloud service, On-premises deployment, Edge computing
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