Every powerful analytics platform rests on a solid foundation: the ability to capture, manage, and process data reliably at scale. For industrial organizations, where equipment generates thousands or even millions of data points every day, this foundation becomes even more critical. Itanta's DS Manager 2.0 is that foundation—a robust, scalable data ingestion and management engine built to handle the complexities of modern industrial environments. Why Data Management Matters in Manufacturing Industrial operations rely heavily on accurate and timely data. From monitoring equipment health to ensuring compliance with strict regulations, data drives decision-making at every level. Yet, data in industrial environments comes from diverse sources: PLCs, SCADA systems, sensors, HMIs, MES systems, and even manual inputs. Each of these sources may use different protocols, formats, and frequencies, creating significant challenges for integration. Traditional data management solutions often fall short in handling this diversity. Custom integration projects can take months, and once complete, they often lack the flexibility to adapt to new equipment or evolving processes. DS Manager 2.0 addresses these challenges by providing a flexible, plug-and-play approach to data ingestion. Extensive Connector Ecosystem At the heart of DS Manager 2.0 is its connector library. With support for over 18 industrial protocols—including Siemens TIA, Rockwell, Mitsubishi, OPC UA, and Modbus—Itanta ensures that virtually any piece of equipment or system can be integrated seamlessly. This means that even plants with decades-old machinery can achieve digital connectivity without costly retrofits. For organizations using modern IoT protocols like MQTT, DS Manager 2.0 provides seamless compatibility, enabling real-time data exchange with sensors, cloud platforms, and other applications. This ensures that no matter the age or brand of the equipment, the data it generates can be captured and used effectively. Flexible Data Logging Industrial data is not uniform. Some processes require high-frequency polling to capture events in real time, while others only need periodic snapshots. DS Manager 2.0 offers flexible logging options, including interval-based polling, event-driven logging, and batch data collection. This flexibility allows organizations to optimize data capture strategies based on their unique operational needs while minimizing unnecessary storage costs. For example, a pharmaceutical plant may need to log temperature and pressure data every second during critical processes to ensure compliance. In contrast, a manufacturing facility may only need to log energy consumption every 10 minutes. With DS Manager 2.0, both scenarios can be handled with equal ease. Advanced Data Modeling and Tag Management Beyond capturing data, Itanta enables organizations to model it effectively. DS Manager 2.0 includes powerful data modeling capabilities such as tag scaling, derived calculations, and namespace configurations. Tags can be organized hierarchically—by city, factory, line, machine, and specific process parameters—making it easier to navigate complex datasets. Derived tags allow users to create custom KPIs by combining existing signals, enabling deeper insights without manual calculations. Ensuring Data Integrity and Reliability Data is only valuable if it is trustworthy. Itanta's DS Manager 2.0 ensures data integrity through robust backend systems, including MongoDB and SQLite. Failover options ensure that data is not lost in the event of network interruptions or hardware failures. Auto-refresh intervals keep dashboards and reports up to date, ensuring that teams are always working with the most current information available. Use Cases in Action Consider an automotive manufacturer managing multiple assembly lines across different locations. Using DS Manager 2.0, the company integrates data from Siemens PLCs, SQL databases, and manual operator inputs into a single data model. With flexible polling, they capture cycle times and downtime events in real time, while batch logs track daily production volumes. This consolidated data powers dashboards that highlight bottlenecks, enabling managers to optimize line performance and reduce downtime. In the energy sector, a utility company uses DS Manager 2.0 to log compressor data via MQTT, track gas distribution in real time, and maintain compliance with regulatory reporting. The combination of real-time polling and automated batch reporting ensures both operational efficiency and regulatory readiness. Scalability for the Future As industrial organizations grow, so too do their data needs. DS Manager 2.0 is designed with scalability in mind. Whether a plant needs to integrate 1,000 tags today or 1 million tags tomorrow, the platform adapts without requiring a complete redesign. This scalability ensures that organizations can invest in Itanta with confidence, knowing the platform will continue to meet their needs as they expand. Conclusion Behind every high-performing analytics platform lies a robust data engine. Itanta's DS Manager 2.0 provides industrial organizations with the tools they need to capture, manage, and utilize their data effectively. With its extensive connector library, flexible logging options, advanced data modeling, and robust data integrity measures, DS Manager 2.0 is more than just a data ingestion tool—it is the backbone of modern industrial intelligence. By empowering organizations to command their data, Itanta provides the foundation for smarter, more agile operations.