InfluxDB
Gestisci tutti i tipi di dati di serie temporali in un unico database appositamente creato. Ottimizzato per la velocità in qualsiasi ambiente nel cloud, on-premise o all'edge.
Panoramica
Cos'è InfluxDB?
Gestisci tutti i tipi di dati di serie temporali in un unico database appositamente creato. Ottimizzato per la velocità in qualsiasi ambiente nel cloud, on-premise o all'edge.
A cosa serve InfluxDB?

Funzionalità Principali
- High-speed ingest of millions of data points per second
- Real-time analytics and transformation of unlimited series
- Automatic eviction of cold data to lakehouses and AI/ML pipelines
- Best-in-class compression and downsampling with Parquet storage
- Edge-to-cloud continuity without pipeline redesign
- Open and extensible with client libraries for Python, JavaScript, Go, Java, C#
- Integrates with Grafana, Telegraf, and other tools
- Deploy anywhere: on-prem, edge, or cloud
Come usare InfluxDB?
To use InfluxDB, start by choosing a deployment option: self-managed (InfluxDB 3 Enterprise or Core OSS) or fully managed (Cloud Serverless or Dedicated). Install or sign up, then use client libraries (Python, JavaScript, Go, Java, C#) to write data via line protocol or SQL, and query with SQL or InfluxQL. Integrate with tools like Grafana for visualization. Deploy on-prem, edge, or cloud, and scale as needed.
Strumenti Alternativi
Pro & Contro
Pro
- Purpose-built for time series data with high performance
- Scalable and reliable for mission-critical systems
- Strong open-source community and ecosystem
- Flexible deployment options
- Real-time analytics and AI/ML integration
Contro
- May require specialized knowledge for optimal configuration
- Pricing for enterprise features can be high for small teams
Casi d'Uso
- Network and infrastructure monitoring
- IIoT and predictive maintenance
- Machine learning and AI
- Satellite telemetry monitoring
- Battery energy storage systems
- Modern data historian for Industry 4.0
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