TrendMiner Integrations

Unlock the full potential of your enterprise's time-series data with the dataPARC Historian. This solution elevates data management, facilitating smooth and secure data flow across your organization. Its design ensures easy integration with AI, ML, and cloud technologies, paving the way for innovative adaptability and deeper insights. Rapid access to data, advanced manufacturing intelligence, and scalability make dataPARC Historian the optimal choice for businesses striving for excellence in their operations. It's not just about storing data; it's about transforming data into actionable insights with speed and precision. The dataPARC Historian stands out as more than just a repository for data. It empowers enterprises with the agility to use time-series data more effectively, ensuring decisions are informed and impactful, backed by a platform known for its reliability and ease of use.

MySQL stands out as the most widely used open source database globally. Thanks to its established track record in performance, dependability, and user-friendliness, it has emerged as the preferred database for web applications, powering notable platforms such as Facebook, Twitter, and YouTube, alongside the top five websites. Furthermore, MySQL is also highly favored as an embedded database solution, being distributed by numerous independent software vendors and original equipment manufacturers. Its versatility and robust features contribute to its widespread adoption across various industries.

Ignition SCADA from Inductive Automation®, combines unlimited licensing, instant web-based deployment and the industry-leading toolsets for supervisory control (SCADA) -- all in one open, scalable, universal platform. Ignition is the new SCADA. It solves all the major problems of old SCADA. Ignition allows your business to easily manage its processes and track, display, analyze, and report on all data. Ignition SCADA software includes a complete set of data acquisition tools, including OPC UA to connect almost any PLC and seamless connections to any SQL database. Ignition also converts any SQL database into an industrial historian. It also connects to IIoT devices via MQTT.

dataPARC is a self-service industrial data visualization & analytics toolkit designed for process manufacturers seeking to improve quality, increase yield, & optimize their operations. Collect, connect, & analyze data from across the plant with dataPARC’s process data analytics & visualization platform. Solve challenging process & product quality issues with simple, yet powerful trending & diagnostic analytics tools. Build sophisticated dashboards and displays to monitor processes & share production KPIs across your enterprise. Leverage artificial intelligence (AI) and machine learning to drive continuous improvement & increase margins via predictive modelling.

Amazon Redshift is the preferred choice among customers for cloud data warehousing, outpacing all competitors in popularity. It supports analytical tasks for a diverse range of organizations, from Fortune 500 companies to emerging startups, facilitating their evolution into large-scale enterprises, as evidenced by Lyft's growth. No other data warehouse simplifies the process of extracting insights from extensive datasets as effectively as Redshift. Users can perform queries on vast amounts of structured and semi-structured data across their operational databases, data lakes, and the data warehouse using standard SQL queries. Moreover, Redshift allows for the seamless saving of query results back to S3 data lakes in open formats like Apache Parquet, enabling further analysis through various analytics services, including Amazon EMR, Amazon Athena, and Amazon SageMaker. Recognized as the fastest cloud data warehouse globally, Redshift continues to enhance its performance year after year. For workloads that demand high performance, the new RA3 instances provide up to three times the performance compared to any other cloud data warehouse available today, ensuring businesses can operate at peak efficiency. This combination of speed and user-friendly features makes Redshift a compelling choice for organizations of all sizes.

Azure SQL Database, a member of the Azure SQL suite, is a sophisticated and adaptable relational database service designed specifically for cloud environments. It is continuously updated, ensuring you benefit from the latest advancements, including AI-driven features that enhance both performance and reliability. With serverless computing and Hyperscale storage options, resources can effortlessly adjust according to your needs, allowing you to concentrate on creating innovative applications without the stress of managing storage or resources. This fully managed SQL database simplifies the challenges of ensuring high availability, performing tuning, handling backups, and executing other essential database management tasks. You can expedite your application development on the unique cloud platform that offers evergreen SQL, utilizing up-to-date SQL Server features while remaining free from concerns about updates, upgrades, or the end of support. Customize your modern app development experience with both provisioned and serverless compute choices, ensuring flexibility and efficiency tailored to your specific needs. This way, you can unleash your creativity while relying on a robust foundation.

TimescaleDB is the most popular open-source relational database that supports time-series data. Fully managed or self-hosted. You can rely on the same PostgreSQL that you love. It has full SQL, rock-solid reliability and a huge ecosystem. Write millions of data points per node. Horizontally scale up to petabytes. Don't worry too much about cardinality. Reduce complexity, ask more questions and build more powerful applications. You will save money with 94-97% compression rates using best-in-class algorithms, and other performance improvements. Modern cloud-native relational database platform that stores time-series data. It is based on PostgreSQL and TimescaleDB. This is the fastest, easiest, and most reliable way to store all of your time-series information. All observability data can be considered time-series data. Time-series problems are those that require efficient solutions to infrastructure and application problems.

Embrace the potential for growth and create a brighter future by utilizing tools that synchronize production and operations with your strategic business goals. Our innovative solutions deliver both speed and adaptability, allowing you to standardize processes while prioritizing safety throughout your organization. Consequently, you will be able to eliminate inefficiencies, enhance profitability, and empower your workforce effectively. The AVEVA Operations Control solution equips operations teams with essential software for contemporary industrial settings, facilitating a cohesive approach to interdepartmental collaboration. This approach incorporates a comprehensive, multi-dimensional information model that consolidates data from various sources, providing valuable context for reporting and dashboard tools. By enabling advanced analytics on industrial data through your business intelligence tool, you can significantly boost plant performance in near real-time. Furthermore, by digitally overseeing the rules and information governing all operational tasks and plant events, you can optimize profitability, versatility, quality, and compliance within your manufacturing processes, ensuring a robust operational framework that adapts to changing needs.

The PI System unveils operational insights and opens up new avenues for innovation. By facilitating digital transformation, the PI System harnesses reliable, high-quality operational data to drive progress. It allows for data collection, enhancement, and real-time delivery from any location. This empowers both engineers and operators alike, while also speeding up the efforts of analysts and data scientists. Furthermore, it creates opportunities for new business ventures. The system is capable of gathering real-time data from a multitude of assets, including legacy systems, proprietary technologies, remote devices, mobile units, and IIoT devices. With the PI System, your data becomes accessible regardless of its location or format. It enables the storage of decades of data with sub-second precision, offering you immediate access to high-fidelity historical, real-time, and predictive data crucial for maintaining essential operations and gaining valuable business insights. By incorporating intuitive labels and metadata, the system enhances the meaning of data. You can also establish data hierarchies that mirror your operational and reporting structures. With the addition of context, data points transform from mere numbers into a comprehensive narrative that encompasses the entire picture, allowing informed decision-making. This holistic view ultimately leads to more strategic planning and operational excellence.

PostgreSQL stands out as a highly capable, open-source object-relational database system that has been actively developed for more than three decades, earning a solid reputation for its reliability, extensive features, and impressive performance. Comprehensive resources for installation and usage are readily available in the official documentation, which serves as an invaluable guide for both new and experienced users. Additionally, the open-source community fosters numerous forums and platforms where individuals can learn about PostgreSQL, understand its functionalities, and explore job opportunities related to it. Engaging with this community can enhance your knowledge and connection to the PostgreSQL ecosystem. Recently, the PostgreSQL Global Development Group announced updates for all supported versions, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23, which address 25 reported bugs from the past few months. Notably, this marks the final release for PostgreSQL 10, meaning that it will no longer receive any security patches or bug fixes going forward. Therefore, if you are currently utilizing PostgreSQL 10 in your production environment, it is highly recommended that you plan to upgrade to a more recent version to ensure continued support and security. Upgrading will not only help maintain the integrity of your data but also allow you to take advantage of the latest features and improvements introduced in newer releases.

Amazon Timestream is an efficient, scalable, and serverless time series database designed for IoT and operational applications, capable of storing and analyzing trillions of events daily with speeds up to 1,000 times faster and costs as low as 1/10th that of traditional relational databases. By efficiently managing the lifecycle of time series data, Amazon Timestream reduces both time and expenses by keeping current data in memory while systematically transferring historical data to a more cost-effective storage tier based on user-defined policies. Its specialized query engine allows users to seamlessly access and analyze both recent and historical data without the need to specify whether the data is in memory or in the cost-optimized tier. Additionally, Amazon Timestream features integrated time series analytics functions, enabling users to detect trends and patterns in their data almost in real-time, making it an invaluable tool for data-driven decision-making. Furthermore, this service is designed to scale effortlessly with your data needs while ensuring optimal performance and cost efficiency.

Enhance lean manufacturing practices for Food & Beverage and Consumer Packaged Goods manufacturers by leveraging insights and intelligence derived from the Industrial Internet of Things (IIoT). Proficy Manufacturing Execution Systems (Proficy MES) offers a comprehensive suite of solutions designed to revolutionize your F&B and CPG manufacturing operations through the integration of data, IIoT technologies, machine learning capabilities, and predictive analytics. By effectively merging the digital landscape with the tangible aspects of manufacturing, Proficy MES facilitates comprehensive performance management tailored for the modern connected enterprise. This integration allows for better alignment of resources, energy usage, and operational efficiency, leading to reduced inventory levels, the identification of costly production inefficiencies, minimized energy and utility waste, and deeper insights into throughput and essential processes. Furthermore, the reviews on Gartner Peer Insights provide unfiltered, independent feedback from our customers, reflecting their real-world experiences with our Manufacturing Execution System (MES) product and highlighting its impact on their operations. These testimonials showcase the transformative benefits that Proficy MES delivers, underscoring its value in optimizing manufacturing efficiency.

Efficiently access data and transform it into customized record structures, allowing for data-driven decisions that enhance production operations. Integrated real-time computing engines facilitate performance management and analysis throughout the organization, leading to a decrease in operational costs. Foster improved work practices through a robust, adaptable, and secure infrastructure that accommodates diverse user needs, promoting benchmarking across the company. Minimize cycle times and direct focus towards critical problem areas by linking performance, downtime, and quality metrics to specific products and machinery. Centralized Performance Monitoring ensures that essential metrics are continuously observed and that the most pressing alarms are highlighted, providing real-time insights into asset performance across the organization. Additionally, the enhancement of Overall Equipment Effectiveness (OEE) boosts uptime, efficiency, and utilization by offering clarity on equipment availability, performance, and quality, thereby allowing for targeted attention on areas that most need improvement. This comprehensive approach not only streamlines operations but also fosters a culture of continuous improvement within the organization.

A comprehensive thin-client software solution that seamlessly integrates data and enhances performance monitoring, resulting in superior data visualization. The customizable workspace interface simplifies the processes of trending, charting, monitoring, reporting, and displaying data. Uniformance KPI serves as a metric management tool that empowers process plants to establish and oversee a diverse range of key performance indicators (KPIs), including safety, reliability, operational efficiency, and production outcomes. Additionally, Honeywell Process Trend Visualization is designed to assist engineers, operations teams, and other essential plant staff in easily visualizing and analyzing information for efficient troubleshooting and decision-making. As a result, facilities gain improved process intelligence, which fosters quicker and more informed business choices, ultimately leading to enhanced operational efficiency and productivity.

The DeltaV S-series Electronic Marshalling utilizing CHARMs allows for flexible placement of field cabling, independent of the type of signal or control methodology employed. The DeltaV™ Distributed Control System (DCS) is designed to streamline automation processes, which reduces operational challenges and mitigates project risks effectively. This advanced collection of products and services enhances plant efficiency through intuitive control solutions that are straightforward to manage and service. Importantly, the DeltaV DCS is adaptable, easily scaling to fit your specific requirements without introducing additional complexity. Furthermore, the seamless integration capabilities of the DeltaV system encompass various functions including batch processing, advanced control, change management, engineering tools, diagnostics, and much more, ensuring a comprehensive solution for your operational needs. Ultimately, this flexibility and integration pave the way for improved productivity and reliability in industrial environments.

Data plays a crucial role in every facet of a processing plant or facility, serving as the backbone for most operational workflows, critical business decisions, and various environmental occurrences. Often, failures can be linked back to this very data, manifesting as operator mistakes, faulty sensors, safety incidents, or inadequate analytics. APERIO steps in to address these challenges effectively. In the realm of Industry 4.0, data integrity stands as a vital component, forming the bedrock for more sophisticated applications, including predictive models, process optimization, and tailored AI solutions. Recognized as the premier provider of dependable and trustworthy data, APERIO DataWise enables organizations to automate the quality assurance of their PI data or digital twins on a continuous and large scale. By guaranteeing validated data throughout the enterprise, businesses can enhance asset reliability significantly. Furthermore, this empowers operators to make informed decisions, fortifies the detection of threats to operational data, and ensures resilience in operations. Additionally, APERIO facilitates precise monitoring and reporting of sustainability metrics, promoting greater accountability and transparency within industrial practices.