InfluxDB
InfluxDB is a time series database designed to handle high write and query loads.
InfluxDB 1.x
InfluxDB 2.0
InfluxDB Cloud 1.x
InfluxDB Cloud is a fully managed and hosted version of the InfluxDB 1.x platform. Scale as you grow with standard or custom configurations.
The battle-hardened time series database that is running in over 200,000 servers. This is the place to start if you need a time series database.
InfluxDB 1.x
InfluxDB is the open source time series database that is part of the TICK (Telegraf, InfluxDB, Chronograf, Kapacitor) stack. It is designed to handle high write and query loads and provides a SQL-like query language called InfluxQL for interacting with data.
Production-ready
InfluxDB 1.x is the stable release and recommended for production use. For clustered use cases where high availability is required and role based access is required we recommend InfluxDB Enterprise.
Fast, scalable, available
InfluxDB, supports millions of writes per second, and can meet the demands of even the largest monitoring and IoT deployments.
SQL-like queries
Analyze and get insights with InfluxQL – a SQL-like query language. InfluxQL also supports time series specific functions to speed up data processing.
InfluxDB 2.0
The essential time series toolkit — dashboards, queries, tasks and agents all in one place. InfluxDB is even more programmable and performant with a common API across OSS, cloud and enterprise editions.
Faster time to awesome
InfluxDB now includes everything needed in a single binary – visualization, dashboards, query, task, alerting. Available under MIT license in open source or InfluxDB Cloud 2.0 as a managed service offering it offers the biggest evolution of the platform since the creation of InfluxDB.
Deep insights and analytics
InfluxDB now includes Flux, a powerful language fhat allows developers to see across time. Flux is a 4th generation data processing language that is optimized for time series analysis.
Client library support
InfluxDB 2.0 now includes powerful client libraries in popular languages like Go, Java, PHP and Python. This allows faster adoption of InfluxDB across the development organization and faster time to getting applications into production.
What’s next?
InfluxDB news
Getting Started with InfluxDB 2.0: Scraping Metrics, Running Telegraf, Querying Data, and Writing Data
Now that we’ve released InfluxDB 2.0 Alpha, you’re probably curious to try it but might not know where to start. This post will guide you through the process of getting it running locally on your machine. By the end of this post you’ll have a good idea of some of the...
Autocorrelation in Time Series Data
Why time series data is unique A time series is a series of data points indexed in time. The fact that time series data is ordered makes it unique in the data space because it often displays serial dependence. Serial dependence occurs when the value of a datapoint at...
InfluxDB insights
In this webinar, we will provide an introduction to the components of the TICK Stack and a review of the features of InfluxDB Enterprise and InfluxDB Cloud. We will also demo how to install the TICK Stack.
Available as InfluxDB open source, InfluxDB Cloud & InfluxDB Enterprise