InfluxDB
Purpose-built time series database for metrics, events, and real-time analytics
Founded
2012
Starting Price
$0
Category
Analytics & BI
Last updated March 8, 2026
About InfluxDB
InfluxDB is a high-performance time series database developed by InfluxData, designed to handle massive volumes of timestamped data from IoT sensors, application metrics, and real-time analytics workloads. It provides a powerful query language, seamless integrations with visualization tools like Grafana, and flexible deployment options including cloud, self-hosted, and edge environments.
Pros & Cons
Pros
- Exceptional write and query performance for time series data at scale
- Rich ecosystem with Telegraf (300+ plugins), Grafana, and Chronograf integrations
- Flexible deployment options: cloud serverless, dedicated, self-hosted, and edge
- Free tier available for development and small workloads
- Strong community and extensive documentation
Key Features
Time Series Data Engine
Purpose-built storage engine optimized for high write throughput and fast queries on timestamped data
Flux Query Language
Powerful functional query language for complex data transformations, aggregations, and analysis
Telegraf Data Collection
Open-source agent with 300+ input plugins for collecting metrics from systems, services, and IoT devices
Grafana Integration
Seamless integration with Grafana for building real-time dashboards and visualizations
Cloud Serverless
Fully managed cloud offering with usage-based pricing and automatic scaling
Edge Data Replication
Collect and process data at the edge with replication to cloud for centralized analysis
Continuous Queries
Automatically compute aggregations and downsample data on a schedule for real-time monitoring
Pricing
Free
$0
- Limited writes and queries
- 30-day data retention
- 2 buckets
- Community support
Usage-Based
Pay as you go
Best For
Infrastructure Monitoring
Track server metrics, application performance, and system health in real-time with alerting
IoT Data Collection
Ingest and analyze sensor data from thousands of IoT devices at the edge and in the cloud
DevOps Observability
Monitor CI/CD pipelines, container orchestration, and microservice performance metrics
Real-Time Analytics
Build dashboards for live business metrics, financial data streams, and operational intelligence
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