Automation PLC Explained: Functions and Benefits

Key Highlights A data historian can run in an on-premise setup or through cloud computing, and each model fits different business goals. On-premise systems give you stronger direct control, but they usually come with higher setup and maintenance demands. Cloud solutions make scaling easier and reduce local infrastructure work for your IT team. Security measures matter in both models, especially when you handle sensitive industrial process data. The cost of ownership depends on upfront spending, ongoing fees, growth plans, and support needs. Your best choice depends on compliance, accessibility, customization, and data storage priorities. Introduction Choosing where your data historian should live is a bigger decision than it may seem. You need a system that can handle industrial process data, support reliable data storage, and still match your budget, security needs, and growth plans. Some organizations prefer the direct oversight of on-premise systems, while others lean toward cloud computing for flexibility and simpler management. If you are weighing both options, understanding the tradeoffs clearly can help you make a smarter, more practical choice. Top 7 Data Historian Software Options Compared (2026) Understanding Data Historians: On-Premise and Cloud A data historian is built to collect, store, and organize time-series information from industrial systems. It supports data acquisition from equipment, sensors, and control systems so you can review process data over time and improve decisions. You can deploy that same core capability in an on-premise environment or through cloud services. The main difference is where the system runs and who manages the supporting infrastructure. That distinction affects control, access, security, maintenance, and cost. The next sections break down both approaches in a simple way. What Is an On-Premise Data Historian? An on-premise data historian is installed and operated within your own IT infrastructure. That usually means the servers, software, and data storage are located in your facility or in a company-managed data center. Your team owns the environment and manages how the system runs every day. This model appeals to organizations that want complete control over configuration, access, and security measures. It can also work well when you have strict compliance needs, sensitive data, or industrial process requirements that depend on close oversight and custom integration with existing systems. The tradeoff is responsibility. Your IT team must handle maintenance, software updates, hardware planning, and ongoing support. There is often a high upfront investment as well. So, the key pros are direct control, customization, and data ownership, while the main cons are infrastructure costs, staffing needs, and slower scalability. What Is a Cloud Data Historian? A cloud data historian stores and manages process data in a cloud environment rather than on local servers. Instead of relying on your own hardware, the system runs on cloud infrastructure maintained by a service provider and is typically accessed over the internet. For many organizations, cloud computing makes adoption easier. You avoid building out as much local infrastructure, and cloud solutions often support quick deployment, flexible scaling, and easier access from different locations. That can be useful for remote work, distributed operations, and growing data volumes. Still, cloud-based data historians are not perfect. You have less direct control over the underlying environment, and internet connectivity becomes more important for data access. Security concerns, vendor lock-in, and recurring subscription costs also need attention. The biggest advantages are flexibility and lower upfront costs, while the main disadvantages are limited control and dependence on the provider. Core Differences Between On-Premise and Cloud Data Historians The key differences between on-premise and cloud solutions come down to location, ownership, and management. In an on-premise model, your company hosts the system internally and controls the hardware, software, and data storage environment. With cloud solutions, the service provider hosts the platform remotely and delivers access through the internet. That changes how you manage deployment, maintenance, scaling, and availability. It also affects how quickly you can expand and how much direct control you keep. Let’s look at the practical differences that usually matter most. Data Storage and Accessibility Where your historian stores information shapes how you access and manage it. On-premise systems keep data storage inside your own environment, often on local servers in a company data center. Cloud historians place that information in cloud storage managed by a provider. That difference affects daily use. On-premise setups give you more direct control over storage and internal access paths. Cloud platforms usually make data access easier across sites, teams, and devices, but they rely more on a stable internet connection. A simple way to compare them is this: On-premise keeps data closer to your internal systems and offers stronger direct control. Cloud storage supports easy access from multiple locations through web-based tools. On-premise can continue operating without the same level of outside internet dependency. Cloud access may be affected by internet connection issues or provider downtime. Deployment and Management Deployment looks very different between these two models. With on-premise, your business installs the historian on its own servers and prepares the surrounding IT infrastructure. That often takes more planning, more internal resources, and more time before the system is fully live. Management also stays in your hands. Your IT team is responsible for infrastructure management, hardware issues, security settings, backup planning, and software updates. If something breaks, your team needs the skills and time to fix it. Cloud deployment is usually lighter on internal effort. The cloud provider handles the hosting environment, and many updates are included as part of the service. That reduces day-to-day maintenance pressure, though you still need oversight for user access, integration settings, and service performance. Integration with Industrial Systems Integration matters because a data historian is only useful if it connects smoothly with your industrial process. Many sites need links to control systems, sensors, data sources, and production tools that already exist on the plant floor. On-premise systems can be attractive when you have specific needs or older legacy systems. Since the environment is under your control, you may have more flexibility to tailor integration around custom workflows, software licenses, and internal architecture. Cloud options can still support strong data collection and integration, but they may require more planning when older systems are involved. So when choosing between the two, think about the age of your equipment, your current applications, the amount of customization required, and whether your business can work comfortably with a provider-managed setup. Pros and Cons of On-Premise Data Historians On-premise data historians remain a strong option for organizations that value complete control and deep customization. If your site has strict operational rules, a skilled IT team, and very specific requirements, this model may feel like the safest fit. At the same time, that control comes with responsibility. You must manage security measures, performance, updates, and capacity planning yourself. Infrastructure costs can also rise quickly. To decide well, you need to weigh the clear advantages against the limits that come with owning and operating the full environment. Advantages of On-Premise Solutions The biggest strength of on-premise solutions is control. Your organization manages the environment, decides how systems are configured, and sets the pace for upgrades. If you need a historian shaped around specific needs, that flexibility can be valuable. This approach can also support stronger internal oversight for data security. For businesses handling sensitive data or operating under strict rules, keeping systems inside company-managed infrastructure may simplify governance and support confidence in ownership of data. Key benefits often include: Greater control over hardware, software, and internal access rules. Full control over how the system is customized for plant operations. Better alignment with specific needs, legacy applications, or compliance demands. Stronger comfort levels for teams managing sensitive data locally. For many industrial organizations, those points make on-premise a dependable and practical choice. Disadvantages of On-Premise Solutions Even with its strengths, on-premise can be demanding. The first challenge is the high upfront investment. You may need servers, storage, networking equipment, physical space, cooling, and software licenses before the historian is even operational. Costs also continue after launch. Maintenance, repairs, upgrades, power, backups, and staffing all add to ongoing costs. If your data volumes grow quickly, expansion can take time and increase infrastructure costs even more. Common drawbacks include: High upfront investment in hardware and supporting systems. Ongoing costs for maintenance, staffing, and cybersecurity work. Slower scaling when new capacity is needed. More internal responsibility for reliability and support. In short, on-premise offers control, but that control carries a heavy operational load. Pros and Cons of Cloud Data Historians Cloud data historians attract attention because the benefits of cloud computing are easy to see. You get easier deployment, less local infrastructure to manage, and easy access to process data across teams and locations. For many organizations, that flexibility is a major advantage. Still, cloud use is never a one-sided decision. A public cloud or hosted environment depends on strong internet connectivity and trust in the service provider. That means convenience must be balanced against concerns around control, risk, and long-term spending. Main Benefits of Cloud Solutions Cloud solutions are popular because they reduce the burden of running everything yourself. Instead of building and maintaining a full local environment, you use cloud services delivered through a provider-managed platform. That setup can improve flexibility. A cloud provider usually handles hosting, core infrastructure, and many updates, which makes growth easier. If your operations expand, scalability is often faster than buying and installing more local hardware. Main benefits often include: Easy access to historian data from multiple sites and teams. Faster scalability as data volumes or user demands increase. High availability features through provider-managed infrastructure. Lower local infrastructure pressure on your internal staff. For organizations that want speed, flexibility, and simpler expansion, cloud services can be a practical fit without the same level of capital spending required by on-premise systems. Potential Drawbacks of Cloud-Based Data Historians Cloud historians also introduce risks you should not ignore. One of the biggest is limited control. Since the environment is managed by a provider, your organization does not oversee every layer of the system in the same way it would on-premise. There are also security concerns tied to storing sensitive data outside your own facility. Providers often use strong protections, but the risks of unauthorized access, misconfiguration, or third-party dependency still matter. Reliable internet connection is another basic requirement for consistent use. Potential drawbacks include: Limited control over underlying infrastructure and configuration. Dependence on internet connection and provider uptime. Security concerns around external hosting and unauthorized access. Ongoing costs that can grow over time with usage and subscriptions. These factors are especially important when planning a move from on-premise to cloud. Security Considerations for On-Premise vs. Cloud Data Historians Security is often the deciding factor in this comparison. Both models can support strong data protection, but they do so in different ways. On-premise gives you direct oversight of internal controls, while cloud security depends more on the provider’s tools, policies, and operating practices. That does not mean one is always safer than the other. The better choice depends on your security measures, staff capability, regulatory needs, and comfort level with public cloud services. If you handle sensitive data, the details matter even more. Data Protection on On-Premise Systems On-premise systems are often chosen for data security because they keep systems and storage under your organization’s authority. Your servers may sit in your own data center, and your team decides how access, monitoring, backups, and internal protections are handled. That setup gives you complete control over data protection practices. For regulated environments, that can be important because your company keeps closer oversight of how industrial process data is stored, processed, and shared. Many teams also value the clear ownership of data that comes with local control. Still, strong security is not automatic. Your business must maintain patches, enforce policies, manage credentials, and respond to threats effectively. On-premise can support excellent protection, but only if your internal resources are capable of sustaining that level of discipline and support. Security Features in Cloud-Based Historians Cloud-based historians can also provide strong protection. Many cloud service providers invest heavily in cloud security because they operate large-scale environments and support many customers across industries. In some cases, their security features may exceed what smaller organizations can afford to build on their own. That said, safe cloud use still depends on provider quality, internal access management, and reliable internet connectivity for secure operations. Important cloud security strengths often include: Advanced security features maintained by specialized provider teams. Regular updates and patching handled as part of the service. Redundancy and recovery capabilities that support resilience. Best practices built into the hosted environment. Even with those advantages, you should still review provider policies, compliance alignment, and user access controls before trusting critical process data to a cloud platform. Comparing Costs: On-Premise vs. Cloud Data Historians Cost discussions should go beyond price tags. You need to look at total cost over time, not just the first payment. On-premise often requires a larger initial investment, while cloud usually spreads spending through ongoing costs paid to a service provider. Here is a simple comparison to frame the decision:

Curious about how much does a data historian cost? Pricing explained! Discover key factors influencing costs in our informative blog post.