Enterprises

Umbrella command and control center for the digitized assets and services

IoT Gateway Vendors

Mature and flexible operating system for the edge computing and analytics

OEM Device Manufacturers

System Integrators and Engineering Companies

Telecom Operators

Unified foundation for the IoT services in your network and cloud

Connecting Your Devices

Virtually any device or data source can be connected to AggreGate using an Agent or a Driver.

The Agents are normalizing device data on the edge while the drivers do this in the cloud.

This difference in approach makes the connection style selection a matter of every specific project.

• Server-side data normalization
• Software plugin for AggreGate Server
• Open-source Driver Development Kit, Java-based
• Device-to-server communications using native protocols, such as Modbus, OPC, SNMP or MQTT

Visualization

Except for routing device data to enterprise applications, AggreGate Platform offers a huge set of data visualization tools that are flexible enough to build any IoT application interface. Those tools are just building blocks that should be combined together according to a system operator role.

UI building blocks are designed with maximum customization abilities in mind, causing minimal influence to the look and feel of an end-user interface. All blocks are combined and customized in visual editors, requiring no programming knowledge.

Any visually designed interfaces will be 100% compatible with both multi-server unified console and web interface.

Analytics

Data collected from devices, normalized and persistently stored is still useless for anything apart from very simple visualization on dashboards, gauges, charts, and tables. Anything more sophisticated requires processing that may start from raw value scaling and end up with advanced failure prediction.

Years of AggreGate evolution brought numerous analytical tools to the scene. Domain-specific data mining languages, object and process modeling engine, statistical process control instruments, visually designed multi-threaded workflows, topology and graph analysis tools, machine learning modules -- all these are instruments that bring business intelligence atop of “classical” IoT bricks.

The majority of data mining and slicing operations in AggreGate are visual. Spreadsheet-like formulas and SQL-like queries are probably the most complicated things system analysts should type on their keyboards. However, scripting and even programmatic extension of the platform is here, too.

Data Storage

AggreGate Server stores enormous amount of data collected from a device network and generated internally:

All types of data stored by the server are divided into just a few major groups: configuration, events, binary blocks, statistics, and topologies. This simple division provides absolute flexibility in adding new types of devices and business objects without changing the structure of data storage.

Management

AggreGate is a remedy for the complicated issue: connecting, provisioning, monitoring, managing, configuring, controlling, maintaining, upgrading, and evolving a fleet that has millions of widely different devices operated by a huge enterprise.