SingleStore is built for
Energy Solutions
Energy companies require fast and flexible data processing infrastructure that enables continuous monitoring, analysis, and response to complex systems that power our modern world.
Energy companies have geographically dispersed capital-intensive assets that require continuous monitoring and maintenance to maximize profits for optimal delivery. IoT analytic solutions can predict and avoid costly maintenance events at scale using a database platform that cost effectively streams, scores, and responds to data events in real time.
One SingleStore customer built an IoT solution that predicts drill bit failure before costly outages occur. Through the use of complex scoring, they can track dozens of readings in real time to adjust drill operations to maximize performance and availability.
Real-Time Dashboards
Deliver up-to-date dashboards with live data analysis for drill downs and aggregations
Machine Learning Enabled
Run sophisticated algorithms in SQL or use third party ML frameworks such as TensorFlow
Drop-in Compatibility
Broad tool support through industry-standard SQL and connectivity APIs
Fast ingestion and analytic performance enable supply chain optimizations
Optimizing the energy supply chain yields improved demand forecast accuracy and reduces product delivery lead times. Supply chain analytics improves energy margins and revenue with minimal technology investment. Customers use SingleStore to drive instant visibility and respond to a variety of supply chain processes including storage management, inventory management, transportation operations, and portfolio optimization. They rely on the fast ingestion and analytic performance for their supply chain optimization programs.
Test drive SingleStore
Enjoy the ultra-high performance and elastic scalability of SingleStore.
How Infiswift Supercharged Its Analytics for IoT Apps
Now with SingleStore, each application built on the platform has the reliability and performance that customers require to drive transformational analytics for their operations.
“We need the data to be processed extremely rapidly, basically in real time. We chose SingleStore because we needed a high-throughput database that can handle our data volumes and velocity with the reliability our customers require.”
Read case studyJay Srinivasan
Sr. Director Engineering at Infiswift
Ingest and analyze smart grid data to enable real-time visibility
Energy and utility companies manage a diverse set of equipment that is responsible of efficient operations for energy production and delivery. The collection of data can identify costly outages or support new product packaging for innovative revenue programs. One SingleStore customer ingests and analyzes smart grid data to enable real-time visibility for energy delivery while immediately identifying energy usage patterns to help customers lower power consumption.
Scalable Analytics
Analyze over 1.2 million smart meters and usage trends with real-time performance
Predictive Analytic
Stack Deliver scalable SQL against terabytes of data for data science discovery
Stream Ingestion
Ingest fast changing data without impacting updates or query performance
Major Oil & Gas Company
Maintain Equipment Uptime
Analyze millions of equipment conditions and events with real-time monitoring
Reduce Operating Costs
Avoid costly outages with optimized equipment operations and planned maintenance
Predict Failures
Prevent high-risk operating conditions with real-time predictive scoring
Leading Electric and Natural Gas Utility
Improve Grid Availability
Monitor and locate grid issues in real time to improve customer satisfaction and reduce service calls
Lower Operating Costs
Predict grid operating issues to minimize costly outages and reduce operating costs
Empower Customers
Deliver real-time visibility of energy consumption to help lower customer energy usage
