Posted: June 08, 2026
Industrial organizations are entering a new phase of digital transformation: one where value depends less on collecting more data, and more on making trusted data accessible across systems, domains, and teams in real time.
To support this shift, AVEVA and Snowflake are collaborating to explore a new approach to industrial data architecture through a planned integration between CONNECT and the Snowflake AI Data Cloud.
This collaboration is designed to help industrial enterprises simplify access to operational data, reduce integration complexity, and accelerate AI-driven decision-making, without the need for traditional, pipeline-heavy data movement.
Breaking down the IT/OT data divide
Most industrial organizations still operate with a fundamental split:
- OT environments generate high-volume operational and sensor data.
- IT environments power enterprise analytics, reporting, and planning.
Despite the value locked in combining these domains, data is often moved through complex ETL pipelines or duplicated across multiple systems. This leads to:
- Fragmented data landscapes.
- High engineering and maintenance overhead.
- Delayed access to operational insights.
- Governance inconsistencies across environments.
- An ongoing “integration tax” that slows innovation.
The CONNECT + Snowflake collaboration is intended to directly address this challenge by shifting the model from data movement to governed data access.
A new model: Zero-copy data access between CONNECT and Snowflake
At the center of the collaboration is a planned zero-copy integration between CONNECT and Snowflake.
Rather than replicating or exporting industrial data into separate systems, CONNECT-managed data can be securely accessed within Snowflake’s governed environment for analytics and AI workloads. This approach is designed to allow industrial and enterprise data to coexist in a single analytical ecosystem while maintaining governance, security, and control.
Figure 1: CONNECT data can be directly accessed in Snowflake and other data platform libraries.
Key expected benefits of the integration
Unified data foundation
Industrial organizations will be able to bring OT data together with enterprise data sources such as ERP, CRM, finance, and supply chain systems in a single governed environment.
This enables:
- Cross-domain analytics across IT and OT.
- Consistent data models across the enterprise.
- Faster alignment between operational and business decisions.
Reduced integration complexity
By minimizing the need for traditional data pipelines, organizations can reduce infrastructure overhead and engineering effort.
This approach aims to:
- Eliminate duplicate data movement.
- Reduce reliance on fragile ETL pipelines.
- Lower long-term maintenance costs.
- Accelerate time-to-insight.
Enterprise-grade governance
The integration is designed to align with Snowflake’s governance capabilities, helping organizations maintain control over sensitive industrial data.
This includes:
- Fine-grained access controls (row- and column-level security).
- Centralized auditing and policy enforcement.
- Data masking and classification capabilities.
- Consistent governance across IT and OT domains.
AI-ready industrial data architecture
With trusted, governed data available in a unified environment, organizations can more easily apply advanced analytics and AI.
This enables:
- Context-rich analytics combining operational and enterprise data.
- A foundation for AI agents and intelligent automation.
- Faster identification of operational inefficiencies and risks.
- More scalable industrial AI adoption.
Snowflake’s AI capabilities, including Snowflake Cortex AI, can further extend these use cases by enabling intelligent systems that reason across structured and unstructured data sources.
Industrial customers need fast, secure access to trusted data across operational, engineering, and enterprise domains to support decision-making at scale. Through this collaboration, we are extending our cloud-scale intelligence capabilities and enabling data to be accessed and used without duplication, helping bring operational intelligence into enterprise-wide decisions within an open, partner-led ecosystem.
Building the future of industrial data architecture
This collaboration represents an important step toward a more connected industrial ecosystem, one where operational and enterprise data can be securely accessed, governed, and analyzed without unnecessary duplication or complexity.
By bringing together AVEVA’s industrial intelligence capabilities through CONNECT and Snowflake’s AI Data Cloud, organizations can begin to move toward:
- A unified IT/OT data foundation.
- Faster, AI-enabled decision-making.
- Reduced integration overhead.
- More scalable industrial analytics.
Together, AVEVA and Snowflake are helping define a future where industrial data is not constrained by systems but activated across them.
See CONNECT and Snowflake in action.
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