Davra
Davra is a complete Industrial IoT platform that helps you build, manage, and scale data-driven applications to monitor assets and improve operational efficiency across your entire enterprise.
Seeq
Seeq is an advanced analytics software platform designed for process manufacturing industries to rapidly investigate and share insights from time-series data stored in historians and cloud data stores.
Quick Comparison
| Feature | Davra | Seeq |
|---|---|---|
| Website | davra.com | seeq.com |
| Pricing Model | Custom | Custom |
| Starting Price | Custom Pricing | Custom Pricing |
| FREE Trial | ✘ No free trial | ✘ No free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2011 | 2013 |
| Headquarters | Dublin, Ireland | Seattle, USA |
Overview
Davra
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.
Seeq
Seeq provides you with advanced analytics tools specifically built for process manufacturing data. Instead of spending days manually cleaning data in spreadsheets, you can connect directly to your historians and IoT platforms to visualize trends and identify root causes in minutes. You can easily search through years of data to find specific operation patterns or equipment failures across your entire enterprise.
The platform enables your engineers to collaborate in real-time using shared workbooks and automated reports. You can build predictive models to anticipate maintenance needs and optimize production yield without requiring a background in data science. It is designed for heavy industries like oil and gas, pharmaceuticals, and chemicals where high-frequency time-series data is critical for daily decision-making.
Overview
Davra Features
- 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.
Seeq Features
- Workbench Analytics. Identify trends and calculate KPIs across massive time-series datasets using an intuitive point-and-click interface.
- Organizer Reports. Create dynamic documents and dashboards that update automatically as new process data flows into your system.
- Data Lab. Access the power of Python libraries to build custom machine learning models and advanced data science workflows.
- Pattern Search. Find specific process conditions or equipment behaviors instantly across months of data to replicate best practices.
- Predictive Modeling. Build and deploy regression models to forecast future performance and prevent costly unplanned downtime.
- Contextualization. Overlay data from different sources like SQL databases and historians to see the full story behind your operations.
Pricing Comparison
Davra Pricing
Seeq Pricing
Pros & Cons
Davra
Pros
- Highly flexible platform adapts to unique industrial use cases
- Strong focus on security and data privacy compliance
- Excellent scalability from single site to global operations
- Simplifies complex data integration from legacy industrial equipment
Cons
- Custom pricing makes initial budget planning difficult
- Requires initial time investment to configure complex workflows
- Advanced features may require technical support for setup
Seeq
Pros
- Rapidly cleans and aligns messy time-series data
- Eliminates the need for manual spreadsheet calculations
- Excellent collaboration features for remote engineering teams
- Direct connection to major industrial data historians
- Intuitive interface for non-data scientists
Cons
- Requires a significant initial time investment
- Pricing is not transparent for small teams
- Advanced Python features require coding knowledge