OPEN INTEGRATIONS
Open protocols driving a common manufacturing language
Rhize is built using common manufacturing standards and protocols to improve interoperability, collaboration, and longevity—making it the ideal choice for modern manufacturers.
Data Collection
MQTT is an OASIS standard messaging protocol for the Internet of Things (IoT). It’s lightweight and ideal for connecting remote manufacturing equipment and devices without a large code footprint and minimal bandwidth. MQTT provides the transport layer for all time series and event information collected by Rhize from the plant floor.
The Api
GraphQL is a new way of thinking about interconnectivity and access to your manufacturing data. It’s a query language that allows users to ask for exactly what they need. It provides a complete and understandable description of your manufacturing data and returns results much faster than REST.
OPC Unified Architecture (UA)
The OPC UA is a widely adopted platform-independent, service-oriented architecture that provides standardized, secure, and interoperable industrial communications. It’s scalable, reliable and allows for rich data modeling.
SQL (Structured Query Language)
SQL (Structured Query Language) is a programming language designed for managing, querying, and modifying relational databases in a standardized way. By allowing users to retrieve, update, and manipulate data, SQL makes it easier to work with structured data in various manufacturing data applications.
Open Data Protocol
OData is an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. For manufacturers, it simplifies data access and promotes interoperability across systems with industry-wide acceptance.
Simple Object Access Protocol (SOAP)
SOAP offers robust, secure and reliable messaging while supporting manufacturing industry standards and complex data types. While lighter-weight protocols are available, Rhize can support SOAP should your specific infrastructure require it.
Open Integrations FAQs
What integration protocols and standards does the data hub support?
Trigger specific business process automation workflows based on a near-infinite number of real-time events defined by you.
How does the platform handle data transformation and normalization?
The Rhize platform can collect data and event information from any data source in your manufacturing operation. Using the ISA-95 standard, it can then standardize that data into a common format. It then normalizes the data to remove duplicates and errors, ensuring your data is decision-grade across your entire ecosystem.
Are there built-in connectors or APIs for popular industrial equipment and software?
Rhize uses standard and open protocols to ingest data from industrial equipment and sensors. If your device is not MQTT or OPC-UA capable, options are available to translate your data to one of those protocols. For external software, Rhize can access data via GraphQL, REST, HTTPS and other common protocols used to interface with transactional data platforms.
What security measures are in place to protect data during integration?
Rhize uses end-to-end encryption to prevent man-in-the-middle-style attacks. We include authorization and authentication checks in all API calls. MQTT users are restricted from accessing internal topics and subjects. Proprietary BPMN documents are encrypted at rest.
Can the data hub handle scalability as our manufacturing operations grow?
Yes, the Rhize platform is made for data scalability.
Will Rhize integrate with my current tech stack? (+)
The short answer… yes. The long answer… Our philosophy is headless. We won’t tell you what to build, but we will give you powerful building blocks to make your manufacturing processes better. To that end, Rhize can integrate with any production systems and software you’re running. Plus, it allows for low-code app development, so your operators can view the data they need.
How long does it take to implement Rhize? (+)
Implementation time varies depending on how ready your manufacturing operation is to transition to a manufacturing data hub.