Davra vs Losant Comparison: Reviews, Features, Pricing & Alternatives in 2026

Davra provides you with a centralized hub to manage the entire lifecycle of your Industrial IoT projects. You can connect diverse sensors and devices, collect real-time data, and transform that information into actionable insights through custom-built applications. The platform simplifies the complex process of moving from a simple pilot to a full-scale global deployment without requiring you to manage underlying infrastructure.

You can use the platform to monitor remote assets, predict maintenance needs, and ensure worker safety across industries like mining, transportation, and manufacturing. It solves the problem of fragmented data by providing a single pane of glass for your operations. Whether you are a systems integrator or an enterprise operations manager, you can build sophisticated IoT solutions that integrate directly with your existing ERP and BI tools.

Losant is an enterprise-grade IoT platform that helps you build and scale connected solutions without managing complex infrastructure. You can collect data from millions of devices, visualize that information in real-time, and trigger automated actions based on specific conditions. The platform simplifies the transition from a prototype to a production-ready environment by providing a unified interface for device management and data processing.

You can create custom end-user experiences and branded portals to deliver value directly to your customers or internal teams. Whether you are monitoring industrial equipment or managing smart building sensors, the platform provides the tools to turn raw sensor data into actionable insights. It is designed for engineering and product teams in mid-to-large organizations who need to deploy reliable IoT applications quickly.

• Digital Twin Creator Create virtual representations of your physical assets to simulate performance and monitor real-time health across your entire operation.
• No-Code App Builder Design and deploy custom IoT dashboards and applications using drag-and-drop tools that require no specialized programming knowledge.
• Edge Computing Support Process and analyze critical data at the edge of your network to reduce latency and ensure continuous operation.
• Predictive Analytics Use built-in machine learning tools to identify patterns in your data and predict equipment failures before they happen.
• Device Management Provision, monitor, and update thousands of connected devices globally from a single, secure cloud-based management console.
• Rules Engine Set up automated triggers and alerts based on specific data thresholds to respond instantly to critical environmental changes.

• Visual Workflow Engine. Build complex logic and automate responses to device data using a drag-and-drop interface—no heavy coding required.
• Real-Time Dashboards. Create custom data visualizations to monitor your connected devices and share insights with your team instantly.
• Device Management. Provision, organize, and monitor millions of devices securely with built-in support for various communication protocols.
• End-User Experiences. Build fully functional, branded web applications that allow your customers to interact with their own device data.
• Data Visualization. Analyze historical trends and current status with a variety of pre-built blocks like gauges, maps, and time-series graphs.
• Edge Compute. Run your workflows locally on your own hardware to ensure low latency and offline functionality for critical operations.