Case Study: Solytic achieves 90% analytics cost savings and 15x scaling with Databricks Lakehouse Platform

Digitalizing solar for operational excellence

Solytic, a solar equipment monitoring and analytics company, faced a rapid surge in IoT data as large customers onboarded—up to 1,500% more data, more than 1 billion events per day (≈10,000 events/second) and 1 TB of historical data to migrate. Their legacy systems lacked scalability, reliability, collaborative access and cost efficiency for large-scale analytical workloads, preventing timely insights and automated decision-making across the asset lifecycle.

Solytic migrated to the Databricks Lakehouse Platform on Azure, using Delta Lake to unify streaming and batch data, build reliable ETL pipelines, and enable collaborative notebooks and on-demand clusters. The move delivered rapid querying, data governance and team autonomy, letting Solytic scale monitored devices from 20,000 to 300,000 (15x) while cutting analytics infrastructure costs by 90% and making over 40 TB available for analytics—paving the way for expanded ML-driven predictive maintenance and smart alerts.

Solytic

Steffen Mangold

Chief Technology Officer