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InfluxDB design principles

InfluxDB implements optimal design principles for time series data. Some of these design principles may have associated tradeoffs in performance.

Time-ordered data

To improve performance, data is written in time-ascending order.

Strict update and delete permissions

To increase query and write performance, InfluxDB tightly restricts update and delete permissions. Time series data is predominantly new data that is never updated. Deletes generally only affect data that isn’t being written to, and contentious updates never occur.

Handle read and write queries first

InfluxDB prioritizes read and write requests over strong consistency. InfluxDB returns results when a query is executed. Any transactions that affect the queried data are processed subsequently to ensure that data is eventually consistent. Therefore, if the ingest rate is high (multiple writes per ms), query results may not include the most recent data.

Schemaless design

InfluxDB uses a schemaless design to better manage discontinuous data. Time series data are often ephemeral, meaning the data appears for a few hours and then goes away. For example, a new host that gets started and reports for a while and then gets shut down.

Datasets over individual points

Because the data set is more important than an individual point, InfluxDB implements powerful tools to aggregate data and handle large data sets. Points are differentiated by timestamp and series, so don’t have IDs in the traditional sense.

Duplicate data

To simplify conflict resolution and increase write performance, InfluxDB assumes data sent multiple times is duplicate data. Identical points aren’t stored twice. If a new field value is submitted for a point, InfluxDB updates the point with the most recent field value. In rare circumstances, data may be overwritten. Learn more about duplicate points.


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Introducing InfluxDB Clustered

A highly available InfluxDB 3.0 cluster on your own infrastructure.

InfluxDB Clustered is a highly available InfluxDB 3.0 cluster built for high write and query workloads on your own infrastructure.

InfluxDB Clustered is currently in limited availability and is only available to a limited group of InfluxData customers. If interested in being part of the limited access group, please contact the InfluxData Sales team.

Learn more
Contact InfluxData Sales

The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Flux is going into maintenance mode and will not be supported in InfluxDB 3.0. This was a decision based on the broad demand for SQL and the continued growth and adoption of InfluxQL. We are continuing to support Flux for users in 1.x and 2.x so you can continue using it with no changes to your code. If you are interested in transitioning to InfluxDB 3.0 and want to future-proof your code, we suggest using InfluxQL.

For information about the future of Flux, see the following: