HighByte Intelligence Hub is the bridge between factory data and AI-ready analytics in the Databricks Data Intelligence Platform. Discover, contextualize, and deliver industrial data to improve operations at scale.
HighByte Intelligence Hub provides industrial companies with an off-the-shelf DataOps solution to accelerate and scale the use of operational data for analytics, machine learning, and AI use cases. Deploy the Intelligence Hub at the Edge to merge and model data from brownfield and modern industrial systems—including PI Systems and historians—into governed, analytics-ready datasets that flow directly into Databricks for enterprise-wide insights.
HighByte Intelligence Hub is the bi-directional bridge between the factory and Databricks, unlocking your dormant datasets. Use the Intelligence Hub to map Operational Technology (OT) data sources to rich data models using a simple drag-and-drop interface and then send these modeled payloads to Databricks. The Lakehouse ingests the data via streaming or batches it into Delta Lake for secure, scalable analytics, warehousing, and AI workloads. This joint architecture balances update frequency, cost, and agility across Stream, Bulk, and Query patterns without losing industrial context or enterprise governance.
The Databricks Client connector for HighByte Intelligence Hub publishes optimal, ready-to-use data in parquet format to the underlying storage service and registers its contents with the Databricks Unity Catalog. This allows you to dynamically drive your lakehouse schema from your operations and instantly discover and use your industrial data. The Intelligence Hub is where industrial data meets the lakehouse.
HighByte Intelligence Hub can also move data from Databricks back to the factory floor with the Databricks SQL connector that enables you to query and retrieve data from Databricks tables. This is ideal for “cloud-to-edge” or “reverse ETL” integration patterns with Databricks to unlock and embed analytical or AI-generated insights at the edge. Deliver alerts from machine learning, data from third-party sensors, and more.
Learn how to leverage the new Databricks Client connector in the Intelligence Hub. This native integration enables users to transfer contextualized and standardized industrial data into Databricks. The connector publishes optimized, ready-to-use data in Parquet format to the underlying storage service and registers its contents with the Databricks Unity Catalog. This functionality allows users to dynamically shape their lakehouse schema based on operational data, making it easy to instantly discover and utilize industrial information.
HighByte Intelligence Hub enables manufacturers to securely connect, merge, model, and flow industrial data to and from Databricks without writing or maintaining code. Deploy the Intelligence Hub on any Linux or Windows PC, or by using Docker or Kubernetes.
Download the Solution Brief to learn more about critical features, measurable benefits, use cases, and technical specifications.
“HighByte Intelligence Hub has revolutionized our operational landscape, providing a seamless abstraction layer across our diverse array of operational systems. With the ability to rapidly ingest and model data from over 40 PLC devices, we've witnessed a transformative shift in our industrial DataOps capabilities.”
Matthew Venter, Solutions Architect at Gousto
The Intelligence Hub connects to industrial data sources and delivers standardized, analytics-ready data into the Databricks Data Intelligence Platform for scalable data warehousing, analytics, and AI.
The Intelligence Hub bridges IT and OT by ingesting industrial data in any format and delivering curated datasets to Databricks—creating a shared, governed data foundation across teams.
The Intelligence Hub enables industrial AI by delivering contextualized datasets to Databricks that support use cases such as process optimization, predictive maintenance, and downtime reduction.
The Intelligence Hub prepares and delivers industrial data to Databricks to support real-time visibility across the supply chain, improving demand forecasting, logistics coordination, and supplier collaboration.
The Intelligence Hub supports analysis of R&D and operational data in Databricks, enabling smarter design decisions and faster time to market.
See how Gousto built a Unified Namespace (UNS) with HighByte Intelligence Hub to contextualize factory data and deliver it to enterprise systems—including Databricks—to improve OEE, move from reactive to proactive maintenance, and build simulation twins for better forecasting and capital investments.
Learn how the Databricks SQL connector in HighByte Intelligence Hub enables direct data retrieval from tables in Databricks' SQL warehouse, supporting "cloud-to-edge" and "reverse ETL" patterns. Understand how to operationalize insights from Databricks in real time on the factory floor.
Learn how the Intelligence Hub prepares read-to-use industrial data for Databricks, an enterprise data platform for analytics, AI, and lakehouse solutions. With native Databricks connectivity, teams can discover and use data for Industry 4.0 use cases at the plant and enterprise level.
This guide explains how to configure the Databricks Client connector in HighByte Intelligence Hub to securely publish contextualized datasets to a Databricks workspace. Learn best practices for connection setup, authentication, and output settings, including catalog, schema, and file paths.
Learn how to configure the Databricks SQL connector in HighByte Intelligence Hub to query tables and views in Databricks. Get guidance on connection setup, authentication, and query configuration to access, validate, and work with Databricks data directly from the Intelligence Hub.
Download the software to get hands-on access to all the features and functionality within HighByte Intelligence Hub and start testing in your unique environment.