Make Industrial Data AI-Ready with HighByte and Snowflake

Make Industrial Data AI-Ready

HighByte Intelligence Hub delivers contextualized industrial data at scale to the Snowflake AI Data Cloud for Manufacturing with a low-code, on-premises solution.

HighByte Intelligence Hub is the proven, edge-native DataOps solution built for industrial data.

HighByte Intelligence Hub provides industrial companies with an off-the-shelf DataOps solution to accelerate and scale the use of operational data throughout the enterprise by contextualizing, standardizing, and securing this valuable information. Run the software at the Edge to merge and model data from industrial data sources into structured payloads to create performant, bi-directional data pipelines with Snowflake at scale.

PRODUCT DEMO

Snowflake Data Cloud + HighByte Intelligence Hub

This video describes the technical connection available between Snowflake Data Cloud and HighByte Intelligence Hub. Learn how to use the Intelligence Hub to obtain process values in near real-time using a subscription to PI System and then send data to Snowflake using the Snowflake Streaming API. This architecture results in lower load latencies that are more cost efficient than bulk data loads—making it a powerful tool for handling real-time data streams.

Make Your Industrial Data Useful

HighByte Intelligence Hub is purpose-built to model and manage plant floor data at the Edge. The software enables manufacturers to securely connect, merge, model, and flow industrial data to Snowflake workloads without writing or maintaining code. Deploy the Intelligence Hub on any Linux or Windows PC or by using Docker or Kubernetes.

HighByte Intelligence Hub

Make Industrial Data AI-Ready

HIGHBYTE INTELLIGENCE HUB

Solution Brief for Snowflake

Download the Solution Brief to see critical features, measurable benefits, supported workloads, and detailed reference architecture for Snowflake and HighByte Intelligence Hub.

Download Solution Brief

Lindt & Sprüngli

"Lindt was able to accelerate digital transformation with a manufacturing solution jointly offered by Snowflake & HighByte for connecting, contextualizing, and storing data within Snowflake for deeper insights without heavy lifting. The initial data visualizations alone helped us gain insights, making process adjustments that led to more stable production quality. "

Jessica Valli, Digital Transformation Program Manager at Lindt & Sprüngli

Supported Snowflake Workloads

Data Warehouse

The Intelligence Hub connects to a wide variety of industrial data sources, including telemetry, transactional, and historical systems. It can merge and model data in a consistent and usable format for Snowflake.

Data Engineering

The Intelligence Hub collects, transforms, consolidates, contextualizes, standardizes, and curates industrial data to the needs of Snowflake to accelerate time-to-value.

Data Lake

The Intelligence Hub is agonistic about industrial data sources and formats. It can move BLOB files as well as structured and semi-structured data. It can deliver curated datasets to Snowflake that are highly tabular or with varied structure.

AI and Data Science

The Intelligence Hub optimizes AI and Data Science workloads by delivering ready-to-use, standardized, and contextualized datasets to Snowflake.

Additional Resources

BLOG

Driving change: How HighByte & Snowflake are transforming automotive

Automotive manufacturers generate massive data, but without structure and context, it can’t drive use cases like predictive maintenance or quality control. This post dives into how manufacturers bridge the IT/OT gap with HighByte and Snowflake to enable Industry 4.0 and accelerate AI adoption.

VIRTUAL EVENT

Accelerate Manufacturing: Unlocking Efficiency and Innovation with Data + AI

Watch the Snowflake Accelerate Manufacturing event on demand to learn how data and AI are transforming the industry. Explore real-world strategies from manufacturing leaders driving operational efficiency, supply chain resilience, and product innovation with Snowflake’s AI Data Cloud.

Watch On-Demand

BLOG

How HighByte and Snowflake Drive Industrial Data Transformation

In this post, learn how HighByte and Snowflake help manufacturers build a UNS and drive IT/OT convergence, turning raw industrial data into actionable insights and supporting various digital transformation initiatives.

WEBCAST

A Digital Transformation Blueprint: Learn to Scale with Lindt

Join leaders from Lindt, HighByte, and Snowflake for a webcast on the people, processes, and tech driving manufacturing digital transformation. Learn how Jessica Valli, Digital Transformation Program Manager at Lindt, scales digitalization from RFP to global rollout using modern architectures from edge to cloud.

GUIDANCE

Guidance for Industrial Data Fabric with Snowflake and HighByte on AWS

This guidance, published by AWS, demonstrates how to create an enterprise-governed model in HighByte, ingest real-time, historical, and transactional data at scale from edge and cloud data sources into Snowflake, and interface with applications using REST APIs.

WEBCAST

UNS to Snowflake

In this 55-minute webcast, HighByte leaders discuss how to confidently leverage HighByte Intelligence Hub alongside Snowflake and AWS cloud services to make unified namespace (UNS) data actionable. See how to query Snowflake tables for use cases requiring closed-loop event handling at the edge.

Watch On-Demand

NEWS

HighByte Releases Native Connectivity to the Snowflake Data Cloud

HighByte Intelligence Hub includes native Snowflake and enhanced AWS IoT SiteWise connectors for direct industrial data streaming, cutting latency and costs while enabling real-time analytics and automation. It also features pipeline replay, output monitoring, and performance upgrades for cloud scaling.

Read Press Release

BLOG

Put your UNS data to work with HighByte Intelligence Hub

Learn how the Intelligence Hub unlocks the full potential of a UNS by delivering contextualized industrial data to cloud platforms like Snowflake. Bridge the OT-IT gap by normalizing, modeling, & governing data pipelines, making it easier to serve downstream consumers with the right data at the right time.