Documentation

Manage databases

An InfluxDB database is a named location where time series data is stored. Each InfluxDB database has a retention period.

If coming from InfluxDB v1, the concepts of databases and retention policies have been combined into a single concept–database. Retention policies are no longer part of the InfluxDB data model. However, InfluxDB Clustered does support InfluxQL, which requires databases and retention policies. See InfluxQL DBRP naming convention.

If coming from InfluxDB v2, InfluxDB Cloud (TSM), or InfluxDB Cloud Serverless, database and bucket are synonymous.

Retention periods

A database retention period is the maximum age of data stored in the database. The age of data is determined by the timestamp associated with each point. When a point’s timestamp is beyond the retention period (relative to now), the point is marked for deletion and is removed from the database the next time the retention enforcement service runs.

The minimum retention period for and InfluxDB database is 1 hour. The maximum retention period is infinite meaning data does not expire and will never be removed by the retention enforcement service.

Table and column limits

You can customize table (measurement) limits and table column limits when you create or update a database in InfluxDB Clustered.

Table limit

Default maximum number of tables: 500

Each measurement is represented by a table in a database. Your database’s table limit can be raised beyond the default limit of 500. InfluxData has production examples of clusters with 20,000+ active tables across multiple databases.

Increasing your table limit affects your InfluxDB cluster in the following ways:

May improve query performance View more info

More PUTs into object storage View more info

More work for the compactor View more info

Column limit

Default maximum number of columns: 250

Configurable maximum number of columns: 1000

Each row must include a time column, with the remaining columns representing tags and fields. As a result, a table with 250 columns can have one time column and up to 249 field and tag columns.

If you attempt to write to a table and exceed the column limit, the write request fails and InfluxDB returns an error.

If you update the column limit for a database, the limit applies to newly created tables; doesn’t override the column limit for existing tables.

Increasing your column limit affects your InfluxDB cluster in the following ways:

May adversely affect system performance


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New in InfluxDB 3.5

Key enhancements in InfluxDB 3.5 and the InfluxDB 3 Explorer 1.3.

See the Blog Post

InfluxDB 3.5 is now available for both Core and Enterprise, introducing custom plugin repository support, enhanced operational visibility with queryable CLI parameters and manual node management, stronger security controls, and general performance improvements.

InfluxDB 3 Explorer 1.3 brings powerful new capabilities including Dashboards (beta) for saving and organizing your favorite queries, and cache querying for instant access to Last Value and Distinct Value caches—making Explorer a more comprehensive workspace for time series monitoring and analysis.

For more information, check out:

InfluxDB Docker latest tag changing to InfluxDB 3 Core

On November 3, 2025, the latest tag for InfluxDB Docker images will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments.

If using Docker to install and run InfluxDB, the latest tag will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments. For example, if using Docker to run InfluxDB v2, replace the latest version tag with a specific version tag in your Docker pull command–for example:

docker pull influxdb:2