Pro Edition for Eclipse Streamsheets is a no-code application platform that empowers users to build full-fledged applications using their spreadsheet skills. This platform is designed for workflow automation, monitoring, and real-time control, operating 24/7 either in the cloud or on-premises. With a user-friendly spreadsheet interface, users can drag and drop data, fill cells with values and formulas, and create charts and graphs without needing to be software developers.

Features

• No-Code Application Builder: Allows users to build applications without coding, using a familiar spreadsheet interface.
• Real-Time Data Processing: Ideal for IoT data processing, enabling immediate reactions to data changes.
• Data Connectivity: Supports various connectivity protocols such as REST, MQTT, OPC UA, and Sparkplug, allowing integration with IoT devices and data sources.
• Edge and Cloud Deployment: Can run in the cloud, on servers, or on edge devices like Raspberry Pi.
• API Connectivity: Facilitates connections to any web service using REST, enabling data merging and processing from multiple sources.
• Dynamic Dashboards: Users can create and visualize data with dynamic graphs and charts, including line charts, pie charts, and more.
• Data Transformation: Allows users to recalculate or aggregate data using streamsheet formulas, transforming and enriching data as needed.
• Persistence and Database Access: Supports access to and storage in relational databases (e.g., MySQL), timeseries databases (e.g., Timescale), and No-SQL databases (e.g., MongoDB).
• Control Capabilities: Not only monitors but also controls data, allowing users to post tags to sensors, actors, and machines via REST or OPC UA.

Benefits

• User-Friendly Interface: Simplifies application building with a spreadsheet interface, making it accessible to non-developers.
• Real-Time Efficiency: Processes and reacts to data changes in real-time, enhancing operational efficiency.
• Versatile Deployment: Offers flexibility in deployment, supporting cloud, server, and edge device operations.
• Comprehensive Data Handling: Integrates with various data sources and protocols, providing robust data connectivity and transformation capabilities.
• Enhanced Visualization: Enables quick and easy creation of dynamic dashboards for data visualization and monitoring.
• Secure and Scalable: Ensures secure data handling and scalability to meet growing data and operational needs.