Connect Source Systems to HighByte Intelligence Hub

Establish connections, subscribe to inputs, and publish to outputs without writing or maintaining code.

A connection in HighByte Intelligence Hub represents a path to a source system that contains inputs and outputs. An input represents a path to a data point or complex object contained in a connection that can be read. An output represents a path to a container in a connection that can be written to. 

Device Data 
Device data is sourced from PLCs, machine controllers, RTUs, and sensors as well as SCADA systems and HMIs. This data is typically communicated over the OPC UA protocol, Modbus protocol, or more recently over the Sparkplug protocol on an MQTT transport. HighByte Intelligence Hub can connect to systems and devices supporting OPC UA and browse the data tags to create input items and output groups. OPC inputs can be grouped into collections and handled throughout the Intelligence Hub as a single structure of data. The Intelligence Hub can connect to industrial sensors and protocol gateways over the Modbus TCP protocol and support reading input coils, output coils, input registers, and holding registers. HighByte Intelligence Hub can also connect to an MQTT broker and subscribe to a JSON payload, a Sparkplug metric, or specific values and publish to the topic namespace.

Business Systems 
The device data from the automation equipment must be combined with business and enterprise systems data for context and complete information models. Modern business systems integrate through RESTful APIs. However, older business systems and many bespoke information systems store their data in SQL databases and use the database as the integration point. HighByte Intelligence Hub can connect to REST servers and SQL servers. The Intelligence Hub can also subscribe and publish to PI System and InfluxDB.  ​

Cloud 
The Cloud has become an increasingly popular environment for storing and analyzing industrial information. The Cloud is being used to host dashboards, compute analytics, host data lakes, provide cross-plant information consolidation, and integrate with the supply chain. HighByte Intelligence Hub includes direct API integrations with AWS, Microsoft Azure, and Google Cloud, providing fast, secure connections to these cloud platforms. HighByte Intelligence Hub can also connect bi-directionally to AWS IoT Core and AWS IoT Greengrass through the MQTT connection to consume data from the Cloud and publish modeled information back to on-premises systems. In addition to streaming data to and from cloud platforms, HighByte can also create and transport files to both Amazon S3 and Microsoft Azure Blob Storage, optimizing the delivery of structured and unstructured data.

Connection Features and Functionality

Use HighByte Intelligence Hub to complete the following tasks.

Leverage Open Standards

✓ Browse OPC data tags 
✓ Dynamically construct queries from OPC inputs 
✓ Subscribe and publish to MQTT Sparkplug metrics or individual data items or JSON payloads
✓ Get or post JSON payloads to REST web services 
✓ Connect to the Intelligence Hub and read/write to underlying connections using the REST Data Server’s request-and-response interface
​​​​

Move Files

✓ Subscribe and publish .csv files, ingest information, and transfer files
✓ Transport image, video, or data files from Edge-to-Cloud
✓ Transport CAD or CNC toolpaths files from Cloud-to-Edge and machine-to-machine
​

Connect with the Cloud

✓ Publish to Amazon Kinesis, Redshift, and S3, as well as AWS IoT SiteWise; connect bi-directionally to AWS IoT Core and IoT Greengrass over MQTT
✓ Subscribe and publish to Azure IoT Hub and Event Hubs; publish data sets, image, video, or any other file type to Azure Blob Storage
✓ Publish to Google Cloud Pub/Sub
​

Tap into Databases

✓ Read, subscribe, and publish to PI System PI Points, Annotations, Assets, and Event Frames
✓ Query tables, stored procedures, and functions in leading SQL databases including Microsoft SQL Server, MySQL, and PostgresSQL
✓ Read and write records stored in-memory or persisted in database files and compose SQL queries to transform relational data using the embedded SQLite database.
✓ Browse database schema, verify query, and view return payload
​

Optimize and Monitor Connections

✓ Flatten modeled data for systems unable to consume structured data
✓ Buffer data when outbound connection is lost or slow
✓ Cache input data from less volatile data sources
✓ Monitor connection state, alert connection issues through UI or third-party system   

HighByte Intelligence Hub currently supports native connectivity via the following open standards and APIs found in the table below.

Connections	Inbound	Outbound
AWS    Amazon Kinesis Data Firehose    Amazon Kinesis Data Streams    Amazon Redshift ​   Amazon S3    AWS IoT SiteWise	​✓	​✓ ​✓ ​​✓ ✓ ✓
Azure    Azure Blob Storage    Azure Event Hubs ​   Azure IoT Edge ​   Azure IoT Hub	​ ✓​​ ​✓ ✓	​​ ✓​​​ ✓ ✓ ✓
Files    Apache Parquet ​   CSV ​   File	​​✓ ​✓ ​​✓	​✓​  ✓ ✓
Google Cloud Platform    Google Cloud Pub/Sub	​​	✓
​​HTTP    REST Client    Webhook​	✓ ✓	​✓
Modbus    Modbus TCP​	​✓	​ ​
Modeling    Element Unify	✓	​ ​
MQTT    MQTT JSON    Sparkplug	✓ ​✓	​✓ ​✓
OPC   OPC UA TCP	​✓	​✓
SQL    JDBC Driver ​   Microsoft SQL Server ​   MySQL    Oracle Database ​   PostgreSQL ​   SQLite	​​✓​​ ​✓ ​✓ ✓ ✓ ​✓	​​✓​​ ✓ ​✓ ✓ ✓ ​✓
Streaming    Apache Kafka	​	​ ​✓
Time Series    InfluxDB    PI System	​✓ ✓	​✓ ✓

Ready to see more?

Curious to learn more and see a live demo of HighByte Intelligence Hub? In this demo, we will show you how to deploy HighByte Intelligence Hub at the Edge to access, model, transform, and securely flow industrial data to and from your IT applications without writing or maintaining code. 

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