InfluxDB Systemeigenschaften

InfluxData includes the open source time-series database InfluxDB. It supports high write loads, large data set storage, and conserves space thru downsampling, automatically expiring and deleting unwanted data as well as backup and restore. InfluxDB also makes it easy to analyze data by providing an easy-to-use SQL-like query language.
You can graph and visualize your data with the open source project Chronograf, and perform ad hoc exploration of your data. It includes support for templates and a library of intelligent, pre-configured dashboards for common data sets. In addition, InfluxDB supports other tools such as Grafana.

Time to Value

An end-to-end platform, InfluxData is ready to go on the cloud or via download. Deploy and begin building your application right on top in minutes, not days or weeks. Built to maximize developer happiness, InfluxData is elegant and simple to use, free of external dependencies, yet open and flexible enough for complex deployments. Get real value faster.

Real Action in Real-Time

InfluxData gives you visibility with real-time access out of the gate so you can quickly find value in your data — identify patterns, predict the future, control systems, and turn insight into action. Whether your data comes from humans, machines, or sensors, get instant insights and stay ahead of the curve.

Fast, Scalable, Available

InfluxData™s powerful engine is fast, supporting millions of writes per second, meeting the demands of even the largest monitoring and IoT deployments. And with native clustering, InfluxData offers high availability ”eliminating single points of failure” and simple scale-out.

IoT & Sensor Monitoring

Instrumentation of every available surface in the material world, from machines to humans is a reality. Everything inside and outside the compute is emitting a relentless stream of metrics and events. The sheer volume of data is astronomical, and growing exponentially, creating unique opportunities for businesses that can monitor and react to this data in real-time. Traditional monitoring solutions just don't have the speed, footprint, and uptime needed for this market.

DevOps Monitoring

Emerging trends like microservices, containerization, elastic storage, Software Defined Networking, Hybrid clouds, etc, all keep pushing the boundaries of what constitutes DevOps Monitoring. The number of endpoints and the variety of metrics that need monitoring forces a reconsideration of the one-size fits all mentality. Modern DevOps monitoring needs to be flexible enough to handle unique application and infrastructure metrics on a common framework.

Real-Time Analytics

The volume of metrics and events is beyond what any human is able to realistically interpret and take action. Machine learning with real-time analytics is crucial in finding the signal from the noise. Whether the organization needs real-time analytics to buy and sell equities, perform predictive maintenance on a machine before it fails, adjust prices based on customer behavior: processing, analyzing and acting on the time-series data in real-time is the problem to solve.

InfluxData, the creator of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData™s more than 420 customers include Cisco, eBay, IBM and Siemens. Visit https://www.influxdata.com/. Twitter: @influxdb.

Fastest growing database to garnish 14,018 github stars

Over 148,000 servers deployed

Hundreds of customers

Open source core with closed source clustering available either on-premise or on the cloud as a managed service. All offerings are available via subscription.