Recently InfluxData announced SQL support in InfluxDB Cloud, powered by IOx. Users can now use familiar SQL queries to explore and analyze their time series data. The SQL support was introduced along with the usage of Apache Arrow. Apache Arrow is an open source project used as the foundation of InfluxDB’s SQL support. Arrow provides the data representation, storage format, query processing, and network transport layers. Apache Flight SQL provides a method for interacting with Arrow via SQL.
Simplified analysis. Enhanced visualizations, alerting capabilities, advanced data forwarding, and more. Great news! We have published a new update with many exciting new features and optimizations.
Users have been generating increasing amounts of data in the past few years, partly due to rapid digitalization since the pandemic. As a result, increasing numbers of analytics applications are capitalizing on these data assets. However, building scalable systems is no trivial task and incidents are inevitable. Complex systems generate data in the form of logs, traces, metrics, and more, which organizations often find themselves sprinting through. Such logs are a powerhouse of valuable information.
Grafana has been a staple visualization tool used alongside InfluxDB since its inception. With the release of InfluxDB Cloud powered by IOx, there is now a new way to integrate InfluxDB and Grafana: Flight SQL. Two of our engineers, Brett and Helen, have been working hard to create a new Grafana plugin called Flight SQL. This open-source plugin allows users to perform SQL queries directly against InfluxDB IOx and other storage engines compatible with Apache DataFusion.
Telecommunication organizations need to ensure they have the necessary resources and technology to maintain service uptime SLAs. Increased regulations and emerging technologies forced telecommunications companies to evolve quickly in recent years. These organizations’ engineers and site reliability engineering (SRE) teams must use technology to improve performance, reliability and service uptime.