Cogent DataHub Integrations

HiveMQ provides the most trusted IoT data streaming and Industrial AI platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone. What HiveMQ is known for: 1. MQTT-native: Built around the MQTT standard, purpose-designed for event-driven, real-time communication 2. Enterprise-grade reliability: Handles millions of concurrent connections with high availability and fault tolerance 3. Industrial-ready: Widely used in IIoT, manufacturing, automotive, energy, smart infrastructure, and data centers 4. Scalable & secure: Supports global deployments with strong security, governance, and observability 5. UNS & IT/OT convergence enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.

Snowflake is a leading AI Data Cloud platform designed to help organizations harness the full potential of their data by breaking down silos and streamlining data management with unmatched scale and simplicity. The platform’s interoperable storage capability offers near-infinite access to data across multiple clouds and regions, enabling seamless collaboration and analytics. Snowflake’s elastic compute engine ensures top-tier performance for diverse workloads, automatically scaling to meet demand and optimize costs. Cortex AI, Snowflake’s integrated AI service, provides enterprises secure access to industry-leading large language models and conversational AI capabilities to accelerate data-driven decision making. Snowflake’s comprehensive cloud services automate infrastructure management, helping businesses reduce operational complexity and improve reliability. Snowgrid extends data and app connectivity globally across regions and clouds with consistent security and governance. The Horizon Catalog is a powerful governance tool that ensures compliance, privacy, and controlled access to data assets. Snowflake Marketplace facilitates easy discovery and collaboration by connecting customers to vital data and applications within the AI Data Cloud ecosystem. Trusted by more than 11,000 customers globally, including leading brands across healthcare, finance, retail, and media, Snowflake drives innovation and competitive advantage. Their extensive developer resources, training, and community support empower organizations to build, deploy, and scale AI and data applications securely and efficiently.

Ignition SCADA by Inductive Automation® integrates unlimited licensing with immediate web-based deployment and top-tier tools for supervisory control (SCADA), all within a single open, scalable, and universal platform. This innovative SCADA solution addresses the significant shortcomings of traditional SCADA systems. By utilizing Ignition, your organization can efficiently oversee its operations and manage data tracking, visualization, analysis, and reporting. The Ignition SCADA software encompasses a comprehensive suite of data acquisition tools, featuring OPC UA for compatibility with nearly any PLC and allowing seamless integration with any SQL database. Additionally, Ignition transforms any SQL database into an industrial historian and facilitates connections to IIoT devices through MQTT, enhancing operational capabilities significantly. As a result, Ignition SCADA not only streamlines data management but also empowers businesses to adapt to emerging technologies with ease.

A managed service enables seamless two-way communication between IoT devices and Azure, providing secure and reliable connections for your Internet of Things (IoT) applications. Serving as a cloud-based backend, Azure IoT Hub can effortlessly connect virtually any device. To enhance your solution, you can integrate from the cloud to the edge, employing per-device authentication, built-in management features, and scalable provisioning capabilities. By utilizing telemetry data from devices to the cloud, you can effectively monitor device statuses and create message routes to various Azure services without requiring coding expertise. Furthermore, cloud-to-device messaging ensures that commands and notifications are transmitted reliably to your connected devices, with delivery tracking made possible through acknowledgment receipts. In cases where connectivity is disrupted, the system automatically retransmits messages, maintaining communication flow. Our goal with Azure IoT Central is to elevate your projects beyond basic proof of concept; we support the creation of innovative, industry-leading solutions through a fully managed IoT application platform that accelerates progress. This holistic strategy empowers organizations to unlock the full potential of IoT technology, driving transformative changes in their operational processes. With this level of support, businesses can confidently explore new avenues for efficiency and growth in their respective industries.

AVEVA Edge presents a robust solution for SCADA, HMI, and IoT Edge, specifically designed to meet the needs of Original Equipment Manufacturers, System Integrators, and End Users. Its advanced interoperability capabilities ensure a smooth integration with the entire AVEVA product ecosystem, fostering a platform-independent environment that accommodates data and hardware from diverse vendors. Users have the convenience of accessing AVEVA Edge applications across a variety of devices, supported by HTML5 web publishing and compatibility with both Windows and Linux operating systems. This feature empowers them to monitor and control SCADA or HMI applications using smartphones, tablets, panel PCs, and more. Furthermore, the deployment of AVEVA Edge is user-friendly, as its runtimes function seamlessly on both Windows and Linux platforms. The unique ability to create an application once and deploy it across multiple platforms, including Linux-based edge devices, PCs, and industrial computers, provides users with exceptional flexibility and efficiency. Consequently, this adaptability helps organizations streamline their workflows, ultimately leading to significant enhancements in productivity within their industrial operations. By leveraging AVEVA Edge, businesses can stay ahead in a competitive landscape, ensuring they maximize their operational potential.

Introducing a versatile Industrial Data Platform that is independent of hardware, enabling manufacturing firms to maximize their data utilization. Litmus Edge establishes a robust data layer that enhances the accessibility of IIoT on the factory floor and throughout the organization, allowing you to concentrate on the most critical aspects of your business. With the addition of Litmus Edge Manager, you gain a centralized platform for managing and orchestrating devices, data, applications, and machine learning models seamlessly across various locations and scales. Experience our solution with a complimentary 15-day trial, during which you'll have full access to all features, extensive documentation, helpful guides, and support from our team of experts. Should you require a fully equipped hosted instance for your initial setup, simply reach out to us, and we'll be happy to accommodate your needs.

HighByte Intelligence Hub is a specialized Industrial DataOps software solution tailored for effective industrial data modeling, governance, and delivery. This platform empowers mid-size to large industrial enterprises to enhance and expand their operational data usage across the organization by ensuring that this crucial information is contextualized, standardized, and safeguarded. By deploying the software at the Edge, users can integrate and model real-time, transactional, and time-series data into a cohesive payload, providing contextualized and correlated insights to all necessary applications. This approach not only accelerates analytics but also supports various Industry 4.0 applications, offering a robust digital infrastructure solution that is designed to scale effectively. Ultimately, HighByte Intelligence Hub serves as a crucial tool for organizations looking to harness the full potential of their data in today’s competitive landscape.

Event Hubs is a comprehensive managed service designed for the ingestion of real-time data, prioritizing ease of use, dependability, and the ability to scale. It facilitates the streaming of millions of events each second from various sources, enabling the development of agile data pipelines that respond instantly to business challenges. During emergencies, its geo-disaster recovery and geo-replication features ensure continuous data processing. The service integrates seamlessly with other Azure solutions, providing valuable insights for users. Furthermore, existing Apache Kafka clients can connect to Event Hubs without altering their code, allowing a streamlined Kafka experience free from the complexities of cluster management. Users benefit from both real-time data ingestion and microbatching within a single stream, allowing them to focus on deriving insights rather than on infrastructure upkeep. By leveraging Event Hubs, organizations can build robust real-time big data pipelines, swiftly addressing business challenges and maintaining agility in an ever-evolving landscape. This adaptability is crucial for businesses aiming to thrive in today's competitive market.

The OPC Data Manager (ODM) is a software solution designed to enable the seamless exchange of data among various OPC servers. This tool is especially beneficial for sharing, mapping, and linking OPC information across different control systems, including PLCs and DCSs. By utilizing widely accessible software solutions, ODM ensures essential connectivity across these systems. Additionally, the Matrikon OPC UA Tunneller proves to be an invaluable resource for extending the lifespan of your control system infrastructure, preparing you for the increasing prevalence of OPC UA. This tool effectively addresses interoperability issues between OPC Classic and OPC UA, as well as facilitating cross-network communications. By opting for this solution, you can quickly and efficiently create connections between OPC Classic systems and transition from Classic to UA. While data sharing among OPC-enabled systems typically involves one application functioning as the OPC client and another as the OPC server, there are scenarios where both applications operate as servers, negating the need for a client. In such cases, ensuring effective communication is vital to sustain operational efficiency and avoid disruptions. Thus, understanding these dynamics can significantly enhance system performance.

The PI System unlocks a wealth of operational insights and creates avenues for innovation. By delivering dependable and high-caliber operations data, it streamlines the journey toward digital transformation. This system enables data to be gathered, refined, and delivered in real-time from virtually any source. It equips engineers and operators with powerful tools while speeding up the analytical processes for data scientists. Furthermore, the PI System encourages new business opportunities through the aggregation of real-time information from a wide range of assets, including legacy systems, specialized equipment, remote devices, mobile technology, and IIoT innovations. It guarantees that users can retrieve their data regardless of where it resides or its format, thus facilitating the storage of extensive historical data at exceptional sub-second resolution. Organizations benefit from immediate access to high-fidelity historical, real-time, and predictive data, allowing them to uphold vital operations and extract significant business insights. By employing user-friendly labels and metadata, the data becomes more insightful, enabling users to create hierarchies that match their operational and reporting needs. This added context provides a comprehensive view, allowing individuals to connect data points to the larger narrative and make more educated choices. Consequently, the PI System not only boosts operational productivity but also propels strategic initiatives that have the potential to revolutionize entire industries. Ultimately, embracing the PI System can lead to a competitive advantage in a rapidly evolving market landscape.

Seamlessly collect, manage, and analyze video and data streams in real time with ease. Amazon Kinesis streamlines the process of gathering, processing, and evaluating streaming data, empowering users to swiftly derive meaningful insights and react to new information without hesitation. Featuring essential capabilities, Amazon Kinesis offers a budget-friendly solution for managing streaming data at any scale, while allowing for the flexibility to choose the best tools suited to your application's specific requirements. You can leverage Amazon Kinesis to capture a variety of real-time data formats, such as video, audio, application logs, website clickstreams, and IoT telemetry data, for purposes ranging from machine learning to comprehensive analytics. This platform facilitates immediate processing and analysis of incoming data, removing the necessity to wait for full data acquisition before initiating the analysis phase. Additionally, Amazon Kinesis enables rapid ingestion, buffering, and processing of streaming data, allowing you to reveal insights in a matter of seconds or minutes, rather than enduring long waits of hours or days. The capacity to quickly respond to live data significantly improves decision-making and boosts operational efficiency across a multitude of sectors. Moreover, the integration of real-time data processing fosters innovation and adaptability, positioning organizations to thrive in an increasingly data-driven environment.

AWS IoT Core allows for a smooth connection between IoT devices and the AWS cloud, removing the complexities of server management and provisioning. It is designed to support a vast number of devices and an immense volume of messages, processing and routing them securely and reliably to both AWS endpoints and other interconnected devices. This service ensures continuous monitoring and communication with devices, even during offline periods. Moreover, AWS IoT Core enhances the integration of various AWS and Amazon services, including AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service, enabling developers to construct IoT applications that effectively handle data collection, processing, analysis, and response without worrying about infrastructure management. Additionally, its ability to connect an unlimited number of devices makes it a highly scalable and adaptable solution for a wide range of IoT scenarios. This flexibility supports innovation in smart technologies across different industries.

PTC is set to elevate its SaaS solutions tailored for the manufacturing industry with the introduction of Kepware+, a groundbreaking tool that streamlines remote configuration, enhances visibility, and increases operational efficiency for IT/OT data. This Software as a Service (SaaS) model for industrial automation not only reveals substantial opportunities for large-scale management of industrial assets but also allows organizations to conserve both time and resources while elevating productivity levels. For businesses that are becoming progressively interconnected, having a singular interface throughout the industrial automation landscape facilitates the secure and remote oversight of individual devices. Kepware+ acts as an efficient management tool, providing a seamless and intuitive configuration experience. While managing device connectivity and process control can often be intricate and labor-intensive, Kepware+ alleviates these challenges, simplifying the handling of industrial connectivity on a broader scale. Unlike other web clients and connectivity solutions, Kepware+ is designed in conjunction with the acclaimed Kepware server, allowing for easy access to remotely configure and manage connected equipment across the entire organization, thereby promoting a more cohesive operational environment. By rolling out this innovative solution, PTC is not just enhancing its product lineup but also asserting its position as a frontrunner in the evolution of manufacturing processes, paving the way for more efficient industrial practices. This development could significantly reshape how manufacturers approach operational challenges in the future.

ABB's System 800xA goes beyond the conventional boundaries of a Distributed Control System (DCS) by simultaneously serving as an Electrical Control System and a Safety system, while also providing a collaborative platform that boosts engineering productivity, operator efficiency, and asset management. This comprehensive electrical control functionality empowers users to oversee their entire electrical framework, from high-voltage switchgear to low-voltage motor controls, making it an adaptable option for both integration with the 800xA DCS and stand-alone use. By leveraging intelligent devices, the system reduces the need for extensive hardwired connections in switchgear, all while ensuring compatibility with a variety of standard protocols. Additionally, the robust digital communication capabilities of the system not only enhance information flow from devices but also streamline operations, which can lead to the elimination of the requirement for extra electrical measurement tools. Through these innovative features, ABB Ability System 800xA not only refines control over electrical systems but also greatly simplifies the management process overall, thereby improving operational reliability and efficiency across various industries. This versatility makes it an essential asset for companies looking to enhance their operational framework.

Drive innovation, growth, and sustainability by adopting a dependable cloud platform tailored to the unique needs of the industrial sector. With a robust user base exceeding 10,000 monthly, companies worldwide rely on our industrial cloud solution to effectively connect their data and communities. Empower your ecosystem with trustworthy information and industry-specific insights that flow seamlessly from the operational site to the cloud, allowing you to undertake your most critical tasks with confidence. Personalize your digital strategy and scale up as needed thanks to a versatile subscription model that offers complete control. Leverage our pre-built AI enhancements to gain real-time insights into industrial operations. Discover new working methods that boost productivity, engagement, and carbon efficiency through our as-a-service offerings. Accelerate your value realization with our intuitive industrial SaaS solutions, designed for easy deployment, access, and secure management across any global organization. By doing so, you can position your business not only to address current challenges but also to proactively prepare for future demands, ensuring long-term success and resilience. Embrace this opportunity to transform your operations and lead in your industry.

We are excited to introduce DBRX, a highly adaptable open LLM created by Databricks. This cutting-edge model sets a new standard for open LLMs by achieving remarkable performance across a wide range of established benchmarks. It offers both open-source developers and businesses the advanced features that were traditionally limited to proprietary model APIs; our assessments show that it surpasses GPT-3.5 and stands strong against Gemini 1.0 Pro. Furthermore, DBRX shines as a coding model, outperforming dedicated systems like CodeLLaMA-70B in various programming tasks, while also proving its capability as a general-purpose LLM. The exceptional quality of DBRX is further enhanced by notable improvements in training and inference efficiency. With its sophisticated fine-grained mixture-of-experts (MoE) architecture, DBRX pushes the efficiency of open models to unprecedented levels. In terms of inference speed, it can achieve performance that is twice as fast as LLaMA2-70B, and its total and active parameter counts are around 40% of those found in Grok-1, illustrating its compact structure without sacrificing performance. This unique blend of velocity and size positions DBRX as a transformative force in the realm of open AI models, promising to reshape expectations in the industry. As it continues to evolve, the potential applications for DBRX in various sectors are vast and exciting.

The Azure Marketplace operates as a vast digital platform, offering users access to a multitude of certified software applications, services, and solutions from Microsoft along with numerous third-party vendors. This marketplace enables businesses to efficiently find, obtain, and deploy software directly within the Azure cloud ecosystem. It showcases a wide range of offerings, including virtual machine images, frameworks for AI and machine learning, developer tools, security solutions, and niche applications designed for specific sectors. With a variety of pricing options such as pay-as-you-go, free trials, and subscription-based plans, the Azure Marketplace streamlines the purchasing process while allowing for consolidated billing through a unified Azure invoice. Additionally, it guarantees seamless integration with Azure services, which empowers organizations to strengthen their cloud infrastructure, improve operational efficiency, and accelerate their journeys toward digital transformation. In essence, the Azure Marketplace is crucial for enterprises aiming to stay ahead in a rapidly changing technological environment while fostering innovation and adaptability. This platform is not just a marketplace; it is a gateway to unlocking the potential of cloud capabilities for businesses worldwide.

Unlock the potential of your global device network with an advanced IoT platform that provides scalable and fully managed integrations, allowing for seamless connection, storage, and analysis of data both at the edge and in the cloud. Experience the full functionality of your devices through a platform that supports multiple operating systems, integrates effortlessly with Debian Linux, and offers immediate compatibility with leading brands such as Intel and Microchip. With Google Cloud's extensive IoT building blocks, transform your device-generated data into meaningful insights, facilitating a journey from initial data ingestion to actionable intelligence. This powerful IoT platform can proactively predict maintenance requirements for your assets and optimize performance in real-time, while also identifying potential downtimes, detecting anomalies, and keeping tabs on the status, condition, and location of your devices. Furthermore, take advantage of Google Cloud IoT’s logistics solutions to manage essential operations such as fleet oversight, inventory management, and cargo integrity checks, which helps keep your business operating efficiently and competitively. By integrating this platform, organizations can not only boost their operational efficiency but also foster more informed decision-making and strategic planning. As your business evolves, the insights derived from this comprehensive IoT solution will enable you to stay ahead of the competition.

Sight Machine enhances the resilience, sustainability, and profitability of manufacturing processes. By offering continuous and real-time oversight of manufacturing operations, it significantly boosts productivity and sustainability while driving higher profit margins. This ambition, which relies on extensive data collected from factory environments to pinpoint issues and opportunities, has captured the attention of numerous manufacturers and both industrial and software firms for years. Nonetheless, many have found this endeavor to be challenging and often frustrating. Although data is abundant throughout supply chains and manufacturing floors, harnessing it effectively remains a complex task. Sight Machine addresses this challenge head-on, providing a solution that is both effective and scalable. The company's advanced technology stands several generations ahead of its competitors, yet it remains committed to delivering tangible improvements and measurable outcomes for its clients. By focusing on practical applications of data, Sight Machine empowers manufacturers to achieve their goals with greater ease and confidence.