Unified Namespace (UNS)

What Is a Unified Namespace (UNS)? A Guide for Life Sciences and Manufacturing

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What Is a Unified Namespace (UNS)? A Guide for Life Sciences and Manufacturing

Introduction

The life sciences and manufacturing industries are facing a common challenge: an overwhelming amount of data scattered across siloed systems, departments, and technologies. Whether it’s sensor readings from the production floor, batch records from MES systems, or operational insights from enterprise platforms, the information exists, but accessing it in a meaningful, unified way is often difficult.

 

This is where the concept of a Unified Namespace (UNS) comes in. While the term has gained visibility in recent years, the core principles behind UNS have existed for decades, with MQTT (Message Queuing Telemetry Transport) being the latest version. As digital transformation continues to shape regulated manufacturing, UNS is fast becoming the backbone of modern industrial data architecture, enabling real-time visibility, simplifying integration, and supporting data-driven decision-making.

Unified Namespace (UNS)

What Is a Unified Namespace?

A Unified Namespace (UNS) is a structured, centralised data layer that brings together real-time information from across an entire organisation  from machines and automation systems on the plant floor to business-level applications in the cloud. It acts as the single source of truth for industrial data, organised in a hierarchical format that mirrors the physical or logical structure of the business.


Unlike traditional architectures that rely on point-to-point integrations or static data lakes, a UNS operates in real-time using event-driven communication. When a change happens on the shop floor, that update is immediately reflected across all connected systems, users, and applications that subscribe to it.


Importantly, the UNS does not store data, it is a live data layer. It acts as the medium through which systems communicate, with data either passed on directly or sent to platforms that handle storage, such as historians or cloud-based analytics systems.


How a Unified Namespace Works

At the core of a UNS is a publish-subscribe model. Instead of pulling data from each system individually, each data source (e.g., a PLC or historian) publishes updates to a central broker. Any authorised system or user can then subscribe to the topics they need, ensuring they always have access to the most current information.


Common protocols used in a UNS include MQTT (Message Queuing Telemetry Transport). MQTT is the most up to date version the most commonly used protocol for implementing a UNS. It is lightweight, efficient, and designed for high-frequency data transmission. Paired with the Sparkplug B specification, MQTT can also handle structured payloads, device state tracking, and session awareness — making it ideal for industrial environments.


The data is typically organised in a logical hierarchy such as:
Enterprise > Site > Area > Line > Machine > Tag


This makes the data not only accessible but easily understandable to humans and machines alike.


Why UNS Matters in Life Sciences and Manufacturing

For life sciences and manufacturing companies, a UNS delivers clear advantages, particularly in environments where traceability, compliance, and timely decision-making are essential.


First, it eliminates data silos, bridging the gap between Operational Technology (OT) and Information Technology (IT). This allows manufacturing, quality, compliance, and business teams to work from a shared, real-time source of data.


Second, it improves data integrity and auditability, crucial in meeting GxP regulations and standards like 21 CFR Part 11 and Annex 11. With time-stamped, structured, and traceable records, regulatory inspections and investigations become far more manageable.


Third, a UNS empowers faster and more accurate decision-making by making the right data available to the right people, in the right format, at the right time, without manual intervention or custom integrations.


Technologies Commonly Used in a UNS

A number of platforms and tools can be used to implement a UNS. These typically fall into three categories: brokers, integration platforms, and data consumers.

 

MQTT Brokers

These act as the central hub where data is published and subscribed to. Popular options include:

  • HiveMQ – A high-performance MQTT broker with robust security and enterprise-grade reliability.
  • Cybus – Designed for industrial environments, Cybus Connectware offers data governance, role-based access control, and secure connectivity.
  • Ignition MQTT Engine (by Inductive Automation) – Frequently used in conjunction with Ignition SCADA, offering full support for Sparkplug B.
MQTT Data Integration Platforms

These platforms help bridge operational systems and higher-level applications, enriching and transforming data as it moves through the UNS.

  • HighByte Intelligence Hub – A powerful industrial data operations platform designed to model, integrate, and flow data in real time between OT and IT systems, supporting both UNS and broader data strategies.
Data Consumers

The UNS itself doesn’t store data — so it must work in tandem with systems that do. This includes:

  • Data historians (like AVEVA PI, Canary, or GE Proficy)
  • Analytics platforms (Power BI, Tableau, cloud services like Azure and AWS)
  • MES, SCADA, and ERP systems that rely on real-time data to manage operations

At Réalta Technologies, we design and implement Unified Namespace architectures using these platforms and more, based on the specific needs, infrastructure, and compliance requirements of each client.


As a newly appointed AVEVA Endorsed System Integrator, Réalta Technologies brings deep expertise in building UNS architectures that are not only technically robust but validated and scalable for regulated environments.

 

The Role of the Data Historian in a Unified Namespace

Although a UNS is not responsible for storing data, data historians play a critical role within this architecture.

A historian provides the long-term storage, analysis, and visualisation capabilities that the UNS layer alone cannot deliver. It collects time-stamped process data from the UNS (or directly from devices), enabling:

  • Batch review and traceability
  • Deviation investigations
  • Regulatory audit readiness
  • Trend analysis and predictive modelling

Platforms like AVEVA PI System, Canary, and GE Proficy Historian are often integrated with UNS architectures to provide robust historical records that complement the UNS’s real-time capabilities.


At Réalta Technologies, we work across these historian platforms, ensuring seamless integration with the UNS and alignment with compliance frameworks in GMP-regulated environments.

 

Key Benefits of Implementing a UNS

Implementing a UNS delivers measurable benefits, including:

  • Real-time, unified access to plant and enterprise data, improving cross-functional collaboration
  • Faster deployment of analytics and machine learning models, as data is structured and accessible
  • Streamlined integration between legacy equipment, modern platforms, and cloud tools
  • Greater agility and scalability, with an architecture that grows with the business
  • Stronger compliance through centralised audit trails and event logging

For companies working in life sciences or regulated manufacturing, the benefits are amplified. Unified access to clean, structured data can dramatically reduce batch review times, improve deviation investigations, and support continuous improvement initiatives, all while maintaining compliance.

 

Considerations for Getting Started

Before implementing a Unified Namespace, companies should consider a few key factors:

  • Current system landscape: Are your automation and IT systems capable of publishing and subscribing to real-time data?
  • Data governance: Who needs access to what data, and what controls are needed?
  • Validation requirements: How will the UNS be documented, qualified, and maintained to meet compliance standards?
  • Scalability: Can the architecture support multiple sites, product lines, or business units?
  • Partner support: Do you have access to integration specialists with experience in building secure, validated UNS environments?

At Réalta Technologies, we offer support from design through deployment, including validation documentation, user training, and long-term managed services.

 

Conclusion

A Unified Namespace is more than a technology trend, it’s a strategic foundation for the future of digital manufacturing. In the life sciences and manufacturing sectors, where the balance between agility, compliance, and performance is critical, a UNS offers a way to unify your data landscape and unlock new value from your systems.

 

By bringing together MQTT brokers, integration platforms like HighByte, and complementary systems like AVEVA PI, a UNS allows organisations to connect their data, and their teams, in a more intelligent way.

 

If you’re considering a Unified Namespace (UNS) or want to explore how it could support your digital strategy, we’re here to help.

Phone: +353 21 243 9113

Email: [email protected]

What Is a Unified Namespace (UNS)? A Guide for Life Sciences and Manufacturing

Introduction

The life sciences and manufacturing industries are facing a common challenge: an overwhelming amount of data scattered across siloed systems, departments, and technologies. Whether it’s sensor readings from the production floor, batch records from MES systems, or operational insights from enterprise platforms, the information exists, but accessing it in a meaningful, unified way is often difficult.

 

This is where the concept of a Unified Namespace (UNS) comes in. While the term has gained visibility in recent years, the core principles behind UNS have existed for decades, with MQTT (Message Queuing Telemetry Transport) being the latest version. As digital transformation continues to shape regulated manufacturing, UNS is fast becoming the backbone of modern industrial data architecture, enabling real-time visibility, simplifying integration, and supporting data-driven decision-making.

Unified Namespace (UNS)

What Is a Unified Namespace?

A Unified Namespace (UNS) is a structured, centralised data layer that brings together real-time information from across an entire organisation  from machines and automation systems on the plant floor to business-level applications in the cloud. It acts as the single source of truth for industrial data, organised in a hierarchical format that mirrors the physical or logical structure of the business.


Unlike traditional architectures that rely on point-to-point integrations or static data lakes, a UNS operates in real-time using event-driven communication. When a change happens on the shop floor, that update is immediately reflected across all connected systems, users, and applications that subscribe to it.


Importantly, the UNS does not store data, it is a live data layer. It acts as the medium through which systems communicate, with data either passed on directly or sent to platforms that handle storage, such as historians or cloud-based analytics systems.


How a Unified Namespace Works

At the core of a UNS is a publish-subscribe model. Instead of pulling data from each system individually, each data source (e.g., a PLC or historian) publishes updates to a central broker. Any authorised system or user can then subscribe to the topics they need, ensuring they always have access to the most current information.


Common protocols used in a UNS include MQTT (Message Queuing Telemetry Transport). MQTT is the most up to date version the most commonly used protocol for implementing a UNS. It is lightweight, efficient, and designed for high-frequency data transmission. Paired with the Sparkplug B specification, MQTT can also handle structured payloads, device state tracking, and session awareness — making it ideal for industrial environments.


The data is typically organised in a logical hierarchy such as:
Enterprise > Site > Area > Line > Machine > Tag


This makes the data not only accessible but easily understandable to humans and machines alike.


Why UNS Matters in Life Sciences and Manufacturing

For life sciences and manufacturing companies, a UNS delivers clear advantages, particularly in environments where traceability, compliance, and timely decision-making are essential.


First, it eliminates data silos, bridging the gap between Operational Technology (OT) and Information Technology (IT). This allows manufacturing, quality, compliance, and business teams to work from a shared, real-time source of data.


Second, it improves data integrity and auditability, crucial in meeting GxP regulations and standards like 21 CFR Part 11 and Annex 11. With time-stamped, structured, and traceable records, regulatory inspections and investigations become far more manageable.


Third, a UNS empowers faster and more accurate decision-making by making the right data available to the right people, in the right format, at the right time, without manual intervention or custom integrations.


Technologies Commonly Used in a UNS

A number of platforms and tools can be used to implement a UNS. These typically fall into three categories: brokers, integration platforms, and data consumers.

 

MQTT Brokers

These act as the central hub where data is published and subscribed to. Popular options include:

  • HiveMQ – A high-performance MQTT broker with robust security and enterprise-grade reliability.
  • Cybus – Designed for industrial environments, Cybus Connectware offers data governance, role-based access control, and secure connectivity.
  • Ignition MQTT Engine (by Inductive Automation) – Frequently used in conjunction with Ignition SCADA, offering full support for Sparkplug B.
MQTT Data Integration Platforms

These platforms help bridge operational systems and higher-level applications, enriching and transforming data as it moves through the UNS.

  • HighByte Intelligence Hub – A powerful industrial data operations platform designed to model, integrate, and flow data in real time between OT and IT systems, supporting both UNS and broader data strategies.
Data Consumers

The UNS itself doesn’t store data — so it must work in tandem with systems that do. This includes:

  • Data historians (like AVEVA PI, Canary, or GE Proficy)
  • Analytics platforms (Power BI, Tableau, cloud services like Azure and AWS)
  • MES, SCADA, and ERP systems that rely on real-time data to manage operations

At Réalta Technologies, we design and implement Unified Namespace architectures using these platforms and more, based on the specific needs, infrastructure, and compliance requirements of each client.


As a newly appointed AVEVA Endorsed System Integrator, Réalta Technologies brings deep expertise in building UNS architectures that are not only technically robust but validated and scalable for regulated environments.

 

The Role of the Data Historian in a Unified Namespace

Although a UNS is not responsible for storing data, data historians play a critical role within this architecture.

A historian provides the long-term storage, analysis, and visualisation capabilities that the UNS layer alone cannot deliver. It collects time-stamped process data from the UNS (or directly from devices), enabling:

  • Batch review and traceability
  • Deviation investigations
  • Regulatory audit readiness
  • Trend analysis and predictive modelling

Platforms like AVEVA PI System, Canary, and GE Proficy Historian are often integrated with UNS architectures to provide robust historical records that complement the UNS’s real-time capabilities.


At Réalta Technologies, we work across these historian platforms, ensuring seamless integration with the UNS and alignment with compliance frameworks in GMP-regulated environments.

 

Key Benefits of Implementing a UNS

Implementing a UNS delivers measurable benefits, including:

  • Real-time, unified access to plant and enterprise data, improving cross-functional collaboration
  • Faster deployment of analytics and machine learning models, as data is structured and accessible
  • Streamlined integration between legacy equipment, modern platforms, and cloud tools
  • Greater agility and scalability, with an architecture that grows with the business
  • Stronger compliance through centralised audit trails and event logging

For companies working in life sciences or regulated manufacturing, the benefits are amplified. Unified access to clean, structured data can dramatically reduce batch review times, improve deviation investigations, and support continuous improvement initiatives, all while maintaining compliance.

 

Considerations for Getting Started

Before implementing a Unified Namespace, companies should consider a few key factors:

  • Current system landscape: Are your automation and IT systems capable of publishing and subscribing to real-time data?
  • Data governance: Who needs access to what data, and what controls are needed?
  • Validation requirements: How will the UNS be documented, qualified, and maintained to meet compliance standards?
  • Scalability: Can the architecture support multiple sites, product lines, or business units?
  • Partner support: Do you have access to integration specialists with experience in building secure, validated UNS environments?

At Réalta Technologies, we offer support from design through deployment, including validation documentation, user training, and long-term managed services.

 

Conclusion

A Unified Namespace is more than a technology trend, it’s a strategic foundation for the future of digital manufacturing. In the life sciences and manufacturing sectors, where the balance between agility, compliance, and performance is critical, a UNS offers a way to unify your data landscape and unlock new value from your systems.

 

By bringing together MQTT brokers, integration platforms like HighByte, and complementary systems like AVEVA PI, a UNS allows organisations to connect their data, and their teams, in a more intelligent way.

 

If you’re considering a Unified Namespace (UNS) or want to explore how it could support your digital strategy, we’re here to help.

Phone: +353 21 243 9113

Email: [email protected]

What Is a Unified Namespace (UNS)? A Guide for Life Sciences and Manufacturing Read More »

Behind the Scenes: Réalta Technologies x Munster Rugby

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Behind the Scenes: Réalta Technologies x Munster Rugby

As proud Official Data Solutions Partners to Munster Rugby, we recently had the opportunity to spend a morning at the Munster Rugby High Performance Centre for a joint photoshoot. It was a great chance to capture some of the people and moments that represent this partnership — from the players and coaching staff to members of the Réalta Technologies team. 

Our work with Munster is built on shared values of performance, precision and continuous improvement, and we’re delighted to continue supporting the team both on and off the field.

You can view some of the shots from the day below.

Behind the Scenes: Réalta Technologies x Munster Rugby

As proud Official Data Solutions Partners to Munster Rugby, we recently had the opportunity to spend a morning at the Munster Rugby High Performance Centre for a joint photoshoot. It was a great chance to capture some of the people and moments that represent this partnership — from the players and coaching staff to members of the Réalta Technologies team. 

Our work with Munster is built on shared values of performance, precision and continuous improvement, and we’re delighted to continue supporting the team both on and off the field.

You can view some of the shots from the day below.

Behind the Scenes: Réalta Technologies x Munster Rugby Read More »

Understanding the Role of Different Data Historians in the Life Sciences Industry

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Understanding the Role of Different Data Historians in the Life Sciences Industry

Introduction

In the life sciences sector, data is a core asset. Whether it’s used for ensuring regulatory compliance, improving production efficiency, or supporting innovation, the ability to capture, store, and interpret operational data is fundamental. Data historians are central to this process. These specialised software systems are designed to collect, store and manage high-frequency, time-stamped data from manufacturing equipment, automation platforms, and control systems.

 

Unlike traditional databases, data historians are built specifically for handling time-series data, making them well-suited to the demands of regulated industries like pharmaceuticals, biotechnology, and medical device manufacturing. This article explores several of the most widely used data historian platforms in the life sciences industry, including AVEVA PI, Ignition, DeltaV, Canary, and GE Proficy, and how each supports robust data analytics and operational excellence.

AVEVA PI System 

The AVEVA PI System is one of the most established and widely adopted data historians across the life sciences industry. Known for its performance, scalability, and compliance-ready design, it is a preferred solution for global pharmaceutical and biotech companies. The PI System is capable of capturing real-time data from a wide range of equipment and systems, including SCADA, PLCs, and DCS networks. It stores this data in a structured and easily retrievable format, enabling everything from process monitoring to historical batch analysis. The PI System can also retrieve batch information from Batch Execution Systems and store it in its Event Frames database.

One of its major strengths lies in its ability to contextualise data through PI Asset Framework (AF), and present it using powerful visualisation tools such as PI Vision. These features support faster root cause analysis, better deviation management, and improved process visibility. Another key strength of AVEVA PI System is its openness. Data can be retrieved from a PI System using multiple third party applications SQL queries, OPC protocol or custom code etc…

For life sciences manufacturers operating under stringent regulatory requirements, PI provides native support for 21 CFR Part 11 and EU Annex 11, including electronic signatures, audit trails, and secure user access. Its reliability and accuracy make it a valuable asset for maintaining data integrity and ensuring audit readiness.

Réalta Technologies is proud to be an Endorsed System Integrator for AVEVA. This recognition represents the highest level of AVEVA partnership and is a direct reflection of Réalta’s technical expertise, proven delivery track record, and commitment to service excellence. As an Endorsed System Integrator, Réalta Technologies delivers customised PI solutions that help life sciences companies extract maximum value from their data infrastructure, ensuring that they meet compliance needs while unlocking opportunities for innovation.

 

Ignition 

Ignition is a modern industrial application platform that includes a capable and flexible data historian module. It is valued for its open architecture, modular design, and cost-effective licensing model, which allows organisations to scale deployments without incurring exponential costs.

Ignition collects real-time data from PLCs, sensors, and devices via standard industrial protocols, storing it in an SQL-based historian for easy access and integration. It offers comprehensive scripting capabilities, API access, and dashboard development tools, making it ideal for companies looking to build custom interfaces or analytics applications.

In the context of life sciences, Ignition is increasingly being used to manage data in single-site operations or specialised production lines. It supports integration with MES platforms and other enterprise systems, enabling a more holistic view of operations. When deployed correctly, it can meet compliance needs through secure data handling, access control, and reliable data retention policies. For companies focused on agility and innovation, Ignition offers a versatile and powerful alternative to traditional historians.

 

DeltaV Continuous Historian

The DeltaV Continuous Historian is an integral component of Emerson‘s DeltaV Distributed Control System, which is widely deployed in GMP-regulated environments. The historian is designed to store time-series data from process operations, making it highly suitable for both batch and continuous manufacturing in the life sciences sector.

Its tight integration with DeltaV control hardware and software ensures a seamless experience from data capture to analysis. It simplifies system validation and provides an audit-ready platform that helps meet 21 CFR Part 11 requirements. The historian can be configured to support electronic records and signatures, secure data storage, and change control protocols, all of which are critical in regulatory audits.

DeltaV Historian is commonly used in facilities where Emerson technologies form the core of the automation architecture. Its ability to deliver reliable, structured, and compliant data storage helps life sciences companies monitor production in real time, identify issues early, and continuously optimise performance.

 

Canary Historian

The Canary Historian is a lightweight, high-performance platform designed to handle fast, efficient data logging and visualisation. It is well-suited to life sciences organisations looking for a cost-effective, easy-to-deploy solution that still meets critical performance and compliance criteria.

Canary’s design prioritises data compression and high-speed throughput without compromising data integrity. It includes native trending tools and dashboard options, reducing the need for third-party analytics platforms. This makes it especially appealing for small to mid-sized facilities or teams seeking rapid time-to-value.

While not as widely adopted in enterprise life sciences environments as AVEVA PI or DeltaV, Canary is gaining traction due to its simplicity, speed, and ease of use. It can be configured to meet the needs of regulated environments with appropriate data security and retention configurations. Its integration capabilities also allow it to function alongside larger enterprise systems as a complementary or pilot solution.

 

GE Proficy Historian

GE Proficy Historian is a well-established industrial data platform used across various manufacturing sectors, including life sciences. It is designed for rapid deployment, secure data storage, and high-speed querying. Proficy Historian can be implemented as a standalone historian or as part of GE Digital’s wider Proficy suite, which includes analytics and MES functionality.

The platform supports data collection from multiple sources, including OPC, Modbus, and proprietary protocols. It is capable of handling both structured and unstructured data, making it suitable for capturing complex production data in a regulated environment. When configured appropriately, it can support compliance with regulatory standards for electronic records, access control, and data traceability.

In life sciences, GE Proficy is often deployed in facilities that require flexibility and fast implementation. Its user-friendly interface and strong security posture make it a good option for operations looking to improve data visibility without taking on the complexity of larger systems.

 

Choosing the Right Data Historian for Life Sciences

Choosing the right data historian is a strategic decision that depends on multiple factors, each shaped by the specific needs of the facility and the wider regulatory landscape. 

Regulatory Compliance

One of the most important considerations is regulatory compliance. Life sciences companies must meet stringent data integrity and traceability requirements, so it’s crucial to select a historian that natively supports 21 CFR Part 11 and Annex 11, including features like electronic signatures, audit trails, and secure access control.

Scalability & Integration

Scalability and integration are also key. Some facilities require an enterprise-wide solution capable of collecting and contextualising data across multiple production sites, while others may only need a site-specific platform that integrates seamlessly with existing SCADA, MES, and ERP systems. The historian should also be able to support long-term growth, allowing for additional users, higher data volumes, and future integration with analytics or cloud platforms.

Ease of Use

Another important factor is ease of deployment and validation. In GMP environments, the ability to validate systems quickly and efficiently can reduce risk and shorten timelines. Some platforms, like DeltaV Historian, are tightly integrated into control systems, which can simplify the validation process.

Costs

Cost and licensing flexibility are often overlooked but can have a major impact on long-term return on investment. Platforms like Ignition are known for their modular, unlimited licensing models, while others follow more traditional licensing structures. Each model comes with its own trade-offs in terms of scalability, support, and total cost of ownership.

Capabilities & Strategy

Finally, companies must consider their internal capabilities and long-term digital strategy. Some organisations prefer out-of-the-box solutions with minimal configuration, while others benefit from platforms that allow for greater customisation through scripting, APIs, or third-party integrations.

At Réalta Technologies, we work closely with life sciences clients to evaluate all these factors and select the best-fit historian for their needs. Our platform-agnostic approach and hands-on experience with systems like AVEVA PI, Ignition, DeltaV, Canary, and Proficy ensure that we can recommend solutions that align with both operational goals and regulatory obligations.

Conclusion

Data historians are foundational to modern life sciences manufacturing. From supporting real-time visibility to enabling detailed batch analysis, they underpin many of the industry’s critical functions. As regulatory expectations and digital transformation initiatives continue to evolve, having the right historian in place — and making full use of its capabilities — is essential.

Réalta Technologies partners with clients to design, deploy and optimise data historian solutions that deliver real value. Whether you are exploring new systems or looking to get more out of your current setup, we’re here to help you turn data into decisions.

Learn more about our solutions here: https://realtatechnologies.com/services/

Or contact us to discuss your challenges, and let us tailor a solution for you. 

Phone: +353 21 243 9113

Email: [email protected]

Understanding the Role of Different Data Historians in the Life Sciences Industry

Introduction

In the life sciences sector, data is a core asset. Whether it’s used for ensuring regulatory compliance, improving production efficiency, or supporting innovation, the ability to capture, store, and interpret operational data is fundamental. Data historians are central to this process. These specialised software systems are designed to collect, store and manage high-frequency, time-stamped data from manufacturing equipment, automation platforms, and control systems.

 

Unlike traditional databases, data historians are built specifically for handling time-series data, making them well-suited to the demands of regulated industries like pharmaceuticals, biotechnology, and medical device manufacturing. This article explores several of the most widely used data historian platforms in the life sciences industry, including AVEVA PI, Ignition, DeltaV, Canary, and GE Proficy, and how each supports robust data analytics and operational excellence.

AVEVA PI System 

The AVEVA PI System is one of the most established and widely adopted data historians across the life sciences industry. Known for its performance, scalability, and compliance-ready design, it is a preferred solution for global pharmaceutical and biotech companies. The PI System is capable of capturing real-time data from a wide range of equipment and systems, including SCADA, PLCs, and DCS networks. It stores this data in a structured and easily retrievable format, enabling everything from process monitoring to historical batch analysis. The PI System can also retrieve batch information from Batch Execution Systems and store it in its Event Frames database.

One of its major strengths lies in its ability to contextualise data through PI Asset Framework (AF), and present it using powerful visualisation tools such as PI Vision. These features support faster root cause analysis, better deviation management, and improved process visibility. Another key strength of AVEVA PI System is its openness. Data can be retrieved from a PI System using multiple third party applications SQL queries, OPC protocol or custom code etc…

For life sciences manufacturers operating under stringent regulatory requirements, PI provides native support for 21 CFR Part 11 and EU Annex 11, including electronic signatures, audit trails, and secure user access. Its reliability and accuracy make it a valuable asset for maintaining data integrity and ensuring audit readiness.

Réalta Technologies is proud to be an Endorsed System Integrator for AVEVA. This recognition represents the highest level of AVEVA partnership and is a direct reflection of Réalta’s technical expertise, proven delivery track record, and commitment to service excellence. As an Endorsed System Integrator, Réalta Technologies delivers customised PI solutions that help life sciences companies extract maximum value from their data infrastructure, ensuring that they meet compliance needs while unlocking opportunities for innovation.

 

Ignition 

Ignition is a modern industrial application platform that includes a capable and flexible data historian module. It is valued for its open architecture, modular design, and cost-effective licensing model, which allows organisations to scale deployments without incurring exponential costs.

Ignition collects real-time data from PLCs, sensors, and devices via standard industrial protocols, storing it in an SQL-based historian for easy access and integration. It offers comprehensive scripting capabilities, API access, and dashboard development tools, making it ideal for companies looking to build custom interfaces or analytics applications.

In the context of life sciences, Ignition is increasingly being used to manage data in single-site operations or specialised production lines. It supports integration with MES platforms and other enterprise systems, enabling a more holistic view of operations. When deployed correctly, it can meet compliance needs through secure data handling, access control, and reliable data retention policies. For companies focused on agility and innovation, Ignition offers a versatile and powerful alternative to traditional historians.

 

DeltaV Continuous Historian

The DeltaV Continuous Historian is an integral component of Emerson‘s DeltaV Distributed Control System, which is widely deployed in GMP-regulated environments. The historian is designed to store time-series data from process operations, making it highly suitable for both batch and continuous manufacturing in the life sciences sector.

Its tight integration with DeltaV control hardware and software ensures a seamless experience from data capture to analysis. It simplifies system validation and provides an audit-ready platform that helps meet 21 CFR Part 11 requirements. The historian can be configured to support electronic records and signatures, secure data storage, and change control protocols, all of which are critical in regulatory audits.

DeltaV Historian is commonly used in facilities where Emerson technologies form the core of the automation architecture. Its ability to deliver reliable, structured, and compliant data storage helps life sciences companies monitor production in real time, identify issues early, and continuously optimise performance.

 

Canary Historian

The Canary Historian is a lightweight, high-performance platform designed to handle fast, efficient data logging and visualisation. It is well-suited to life sciences organisations looking for a cost-effective, easy-to-deploy solution that still meets critical performance and compliance criteria.

Canary’s design prioritises data compression and high-speed throughput without compromising data integrity. It includes native trending tools and dashboard options, reducing the need for third-party analytics platforms. This makes it especially appealing for small to mid-sized facilities or teams seeking rapid time-to-value.

While not as widely adopted in enterprise life sciences environments as AVEVA PI or DeltaV, Canary is gaining traction due to its simplicity, speed, and ease of use. It can be configured to meet the needs of regulated environments with appropriate data security and retention configurations. Its integration capabilities also allow it to function alongside larger enterprise systems as a complementary or pilot solution.

 

GE Proficy Historian

GE Proficy Historian is a well-established industrial data platform used across various manufacturing sectors, including life sciences. It is designed for rapid deployment, secure data storage, and high-speed querying. Proficy Historian can be implemented as a standalone historian or as part of GE Digital’s wider Proficy suite, which includes analytics and MES functionality.

The platform supports data collection from multiple sources, including OPC, Modbus, and proprietary protocols. It is capable of handling both structured and unstructured data, making it suitable for capturing complex production data in a regulated environment. When configured appropriately, it can support compliance with regulatory standards for electronic records, access control, and data traceability.

In life sciences, GE Proficy is often deployed in facilities that require flexibility and fast implementation. Its user-friendly interface and strong security posture make it a good option for operations looking to improve data visibility without taking on the complexity of larger systems.

 

Choosing the Right Data Historian for Life Sciences

Choosing the right data historian is a strategic decision that depends on multiple factors, each shaped by the specific needs of the facility and the wider regulatory landscape. 

Regulatory Compliance

One of the most important considerations is regulatory compliance. Life sciences companies must meet stringent data integrity and traceability requirements, so it’s crucial to select a historian that natively supports 21 CFR Part 11 and Annex 11, including features like electronic signatures, audit trails, and secure access control.

Scalability & Integration

Scalability and integration are also key. Some facilities require an enterprise-wide solution capable of collecting and contextualising data across multiple production sites, while others may only need a site-specific platform that integrates seamlessly with existing SCADA, MES, and ERP systems. The historian should also be able to support long-term growth, allowing for additional users, higher data volumes, and future integration with analytics or cloud platforms.

Ease of Use

Another important factor is ease of deployment and validation. In GMP environments, the ability to validate systems quickly and efficiently can reduce risk and shorten timelines. Some platforms, like DeltaV Historian, are tightly integrated into control systems, which can simplify the validation process.

Costs

Cost and licensing flexibility are often overlooked but can have a major impact on long-term return on investment. Platforms like Ignition are known for their modular, unlimited licensing models, while others follow more traditional licensing structures. Each model comes with its own trade-offs in terms of scalability, support, and total cost of ownership.

Capabilities & Strategy

Finally, companies must consider their internal capabilities and long-term digital strategy. Some organisations prefer out-of-the-box solutions with minimal configuration, while others benefit from platforms that allow for greater customisation through scripting, APIs, or third-party integrations.

At Réalta Technologies, we work closely with life sciences clients to evaluate all these factors and select the best-fit historian for their needs. Our platform-agnostic approach and hands-on experience with systems like AVEVA PI, Ignition, DeltaV, Canary, and Proficy ensure that we can recommend solutions that align with both operational goals and regulatory obligations.

Conclusion

Data historians are foundational to modern life sciences manufacturing. From supporting real-time visibility to enabling detailed batch analysis, they underpin many of the industry’s critical functions. As regulatory expectations and digital transformation initiatives continue to evolve, having the right historian in place — and making full use of its capabilities — is essential.

Réalta Technologies partners with clients to design, deploy and optimise data historian solutions that deliver real value. Whether you are exploring new systems or looking to get more out of your current setup, we’re here to help you turn data into decisions.

Learn more about our solutions here: https://realtatechnologies.com/services/

Or contact us to discuss your challenges, and let us tailor a solution for you. 

Phone: +353 21 243 9113

Email: [email protected]

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