InfluxData Launches Updates to Support Time Series Data

InfluxData is releasing the latest versions of InfluxEnterprise and InfluxDB with expanded support for high cardinality time series data streams.

In order to support ephemeral time series data, InfluxData introduced the concept of a Time Series Index (TSI).

The new time series index, or TSI, moves the index to files on disk that can be mapped in memory. TSI was introduced last year for community feedback, and now it is generally available for both InfluxDB and InfluxEnterprise.

It provides support for a large number of active series, and is often used for gathering metrics and events for containers which are spun up and down quickly and in large numbers.

Other updates in this release include improvements in the backup functionality. Backups can now be restored across InfluxEnterprise and open source software, and restoration of runs can be made in online mode without overwriting existing databases. With this new release, InfluxData can serve as a good option as a long-term store for Prometheus.

“After our community’s requests and support testing this new release, we are pleased to make these new capabilities generally available to help developers be more effective,” said Tim Hall, InfluxData VP of Products. “More data being generated by containers and IoT sensors continues to support the need for a purpose-built Time Series Database like InfluxData. This new release focuses on this ephemeral data because organizations need to keep this data in a long-term store for audit purposes.”

InfluxEnterprise is a Time Series Platform that has been designed from the ground up to handle metrics and events time series data. It is software that can run on-premises or on any cloud provider, and supports the collection, storage, monitoring, visualization, and alerting of time series data.

InfluxDB is used as its data store for large amounts of time stamped data, including DevOps monitoring, application metrics, IoT sensor data, and real-time analytics.

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