Eagle.io

0(0 reviews)

Software Status:Active

About Eagle.io

Eagle.io is an environmental data management cloud platform from Bentley Systems that supports the management and analysis of environmental data. It includes capable real-time environmental monitoring, iTwin IoT integration, and customizable dashboards so consultants and scientists can gain insights into their data. The platform facilitates efficient data collection and reporting, allowing users to monitor environmental conditions effectively. With features designed for collaboration, users can easily share data and findings with stakeholders. Key capabilities: real-time monitoring data visualization collaboration tools customizable dashboards iTwin IoT integration Best for: environmental consultants and scientists that need to manage and analyze large datasets for various projects.

Eagle.io Details

Vendor

Bentley Systems

Year Launched

1984

Location

Bentley Systems, Incorporated 685 Stockton Drive Exton, PA 19341, United States

Deployment

cloud

Training Options

documentation, videos, live online

Countries Served

All Countries

Languages

English, German, Spanish, French, Italian, Polish, Brazilian Portuguese, Chinese, Japanese, Korean

Users

Consultancies, scientists, engineers, enterprises

Industries Served

Environmental consulting, infrastructure, water / wastewater, agriculture, government / environmental agencies

Eagle.io's In-App Market Place

Does Eagle.io have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

Mini Apps

N/A

Pricing Options

Free trial

Free version

Request a quote

Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), AUD ($), CAD ($), GBP (£), JPY (¥), CNY (¥), NZD ($)

Pros & Cons

Supports a wide range of sensor and IoT device integrations for flexible data collection.
Provides highly interactive dashboards and real-time visualizations for rapid insight generation.
Delivers robust alerting capabilities that help detect environmental anomalies instantly.
Ensures secure multi-user collaboration through fine-grained access controls.
Offers a clean, responsive interface suitable for desktop and mobile browsers.

Limited public information on system scalability and data storage limits for large deployments.
No built-in predictive modeling or machine learning for advanced environmental forecasting.
Requires stable internet connectivity since it is fully cloud-based with no offline functionality.
No dedicated native mobile apps; users must rely on browser access.
Hardware integration setup may be complex for non-technical users.
Predictive analytics or AI-driven forecasting capabilities appear limited