Digital solutions experts Recultiv8 had a problem: a proprietary process historian with performance constraints. To build custom digital platforms, the company’s system manages more than 700 tags from OPC-UA servers, requiring expensive per-tag licensing and recurring maintenance fees. Grafana dashboards took nearly six seconds to load, troubleshooting involved multiple external components, and real-time energy cost visibility was limited by processing delays and a fragmented architecture. It was a complicated, costly system that wasn’t scalable for Recultiv8’s industrial facilities.

To overcome these significant limitations, Recultiv8 replaced its proprietary platform with InfluxDB 3 Core as an edge time-series database, supported by Telegraf for data collection. InfluxDB stores real-time and 1-minute averaged data, powers Grafana dashboards via SQL queries, and runs custom Python processing plugins for complex time-of-use energy tariff calculations. The native processing engine performs automated 30-minute energy aggregations and writes results back into InfluxDB for unified visualization without external ETL tools or cloud dependence. With this new, efficient architecture, data is retained locally for 72 hours for operational insights and replicated to a data warehouse for additional analytics.

Since implementing InfluxDB, Recultiv8 has made substantial operational and financial gains. Dashboard load times dropped from six seconds to virtually instant, dramatically improving real-time monitoring. Eliminating licensing and maintenance fees generated significant cost savings, and the simplified architecture increased system uptime and reduced troubleshooting effort. Most importantly, real-time energy cost tracking now quantifies savings directly, enabling smarter decisions and measurably improved performance. With seamless integration, open-source flexibility, and exceptional speed, InfluxDB has transformed Recultiv8’s industrial monitoring capabilities.