InfluxData is releasing InfluxDB 3.11, bringing a set of performance improvements designed for heavier, more complex time series workloads to InfluxDB 3 Enterprise—offering faster queries on live data, greater flexibility for wide and ultra-sparse schemas, and more predictable performance under heavy load.
According to the company, this release also adds new Enterprise capabilities for backup and recovery, bulk data import, row-level deletes, and cluster operations.
Time series applications rely on fast access to recent data, whether it’s the latest reading from a device, the current state of an asset, a narrow time range from a sensor, or a live view that tracks ingest. For highly selective queries, such as those for a single time series, this new release of InfluxDB 3 Enterprise is up to 4x faster than previous versions, the company said.
For industrial monitoring, fleet management, observability, energy systems, and other applications built around live operational data, these gains mean faster access to the current state of the system.
InfluxDB 3.11 expands schema flexibility with support for thousands of tables and millions of columns, while efficiently handling ultra-sparse datasets where only a small fraction of fields may be populated at any given time. Teams can model complex, changing telemetry around the data itself, with predictable query performance even as schemas grow wider and sparser, said InfluxData.
InfluxDB 3.11 reduces the resource spikes that can occur during heavy ingest and compaction, meaning memory usage is more predictable, and compaction runs with a more consistent resource profile, making it easier to understand what a workload requires.
InfluxDB 3.11 also adds new Enterprise capabilities for backing up, importing, and deleting data:
- End-to-End Backup and Restore: You can now run full or incremental backups to capture compacted data. Restores run asynchronously, providing disaster recovery and allowing you to roll a live cluster back to an earlier point in time.
- Bulk Import from Parquet: Bringing existing or external data into InfluxDB 3 is now much simpler. A new bulk-import feature lets you upload an entire directory of Parquet files to ingest the data directly.
- Row-Level Deletes: Deleting individual rows is inherently more complex in columnar storage where data is optimized to be written and read in larger blocks. InfluxDB 3.11 now lets you target specific data by time range or tag predicate, without having to drop an entire table.
InfluxDB 3.11 brings the Explorer UI directly into InfluxDB 3, giving users a visual interface for querying, exploring, and managing their data out of the box.
As time series workloads grow, so do demands on the database. InfluxDB 3.11 is built to maintain performance as complexity increases, said the company.
For more information about this news, visit www.influxdata.com.