InfluxData Advances Possibilities of Time Series Data With General Availability of InfluxDB 2.0

▤ Summary

These workloads will require rapid ingestion, advanced querying, and edge processing to maintain resource and cost efficiency, and maximize the value to end users. New features in InfluxDB 2.0 are designed to reduce the amount of time developers spend writing code to get started and manage existing projects, including: • Flux – the first functional query and programming language built specifically for time series data, which makes it possible to enrich and transform data, build forecasts, and identify anomalies and correlations • InfluxDB Templates – a growing gallery of single-file monitoring configurations for common use cases, like network and IoT sensor monitoring, that allow users to share their expertise and get up and monitoring in minutes • Edge functionality – able to aggregate and analyze time series data at the point of ingestion, where it’s most valuable to take action • Client libraries – support for writing and querying from popular languages, dramatically easing integration with other applications and empowering teams to use existing programming language skills InfluxDB 2.0 is also tightly integrated with InfluxDB Cloud, the serverless, elastically scalable, fully managed time series database platform. Most time series solutions are designed around a rigid database structure, which limits the ability to work with high-cardinality data, but InfluxDB IOx separates storage from compute by using object storage as the durability layer and a management layer to control many stateless query, ingest, and indexing servers running ephemerally in Kubernetes. Dix opened the InfluxDB IOx project codebase repository during his talk at InfluxDays North America and now welcomes comments. We empower developers and organizations, such as Cisco, IBM, Lego, Siemens, and Tesla, to build transformative IoT, analytics and monitoring applications.

▦ Linked Companies

InfluxData

$10M to $25M