Designing a real-time data platform for the “Internet of Energy”
Company Size
1,000+
Region
- Pacific
Country
- Australia
Product
- Future Grid Platform (FGP)
- Hazelcast IMDG
- Apache Cassandra
Tech Stack
- In-Memory Data Grid (IMDG)
- Distributed Database
- Real-Time Data Aggregation
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Utilities
Applicable Functions
- Facility Management
- Quality Assurance
Use Cases
- Energy Management System
- Machine Condition Monitoring
- Predictive Maintenance
- Real-Time Location System (RTLS)
Services
- Software Design & Engineering Services
- System Integration
About The Customer
Future Grid is a company that empowers data-rich enterprises to gain insights and control their future through its operational intelligence real-time data platform, the Future Grid Platform (FGP). The platform analyzes hundreds of millions of data points in real-time, enabling actions that reduce operational costs and increase revenue. It provides continuous, real-time complex event processing, real-time data aggregations, rich modeling tools, and contextual awareness. Future Grid works with several Australian utility companies to automate the processing of sensor and smart meter data across energy networks, handling approximately 3 billion data points daily.
The Challenge
Future Grid faced the challenge of processing extreme volumes of data in real-time for Australian utility companies. Traditional relational databases were inadequate for handling the 3 billion data points collected daily, leading to inefficiencies and high costs. The need for a real-time data aggregation solution was critical to enable complex, real-time decisions and overcome issues related to data volume, speed, reliability, resilience, and license costs.
The Solution
Future Grid built its platform using Hazelcast IMDG, an in-memory data grid designed for high availability and scalability. Hazelcast IMDG helps manage data and distribute processing using in-memory storage and parallel execution, providing significant speed and scale improvements. Future Grid integrated Hazelcast IMDG with Apache Cassandra, a distributed database for managing large amounts of structured data. This combination allowed Future Grid to overcome the limitations of traditional databases, providing continuous availability, linear scale performance, and operational simplicity. The integration enabled Future Grid to deliver real-time data processing and visualization, solving many challenges faced by the energy sector.
Operational Impact
Quantitative Benefit
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