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Alternatives to Consider
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Epicor Connected Process ControlEpicor Connected Process Control (CPC) enables manufacturers to digitize and standardize production processes through a flexible no-code/low-code manufacturing platform. Combining digital work instructions, operator guidance, process control, and real-time data collection, CPC helps teams improve execution, reduce errors, and maintain consistent production across assembly and manufacturing operations. With support for connected equipment and shop floor devices, manufacturers can capture production and quality data directly from operations while gaining greater visibility into performance, defects, rework, and process compliance. Product traceability capabilities provide a detailed history of each product's build and inspection record, supporting quality initiatives and continuous improvement efforts. CPC is well suited for manufacturers managing complex product variations, dynamically presenting operators with the appropriate instructions and process requirements for each build. By connecting people, processes, and production data within a single platform, manufacturers can improve quality, increase operational visibility, and drive more consistent outcomes across the shop floor. Available on-premises or in the cloud, CPC scales from individual production areas to enterprise-wide manufacturing environments.
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TRACTIANTractian serves as the Industrial Copilot focused on enhancing maintenance and reliability by integrating both hardware and software to oversee asset performance, streamline industrial operations, and execute predictive maintenance approaches. The platform, powered by AI, enables companies to avert unexpected equipment failures and improve production efficiency. Headquartered in Atlanta, GA, Tractian also has a global footprint with branches in Mexico City and Sao Paulo, thereby expanding its reach. For more information, you can visit their website at tractian.com, where additional resources and details about their offerings are available.
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RaimaDBRaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
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HiveMQHiveMQ 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.
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Grafana CloudGrafana Labs provides the leading AI-powered observability platform, built around Grafana—the most widely adopted open source technology for dashboards and visualization. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, Grafana Labs supports more than 25 million users and thousands of organizations worldwide, from startups to Fortune 500 enterprises. Grafana Cloud is the open observability cloud, delivering full-stack visibility across modern applications, infrastructure, and digital services. Built on open source, open standards, and open ecosystems, the platform unifies metrics, logs, traces, and profiles into a scalable observability experience that helps teams detect issues earlier, resolve incidents faster, and operate more efficiently. At the core of Grafana Cloud is the open-source LGTM stack: Grafana for dashboards and visualization, Mimir for scalable metrics, Loki for logs, and Tempo for distributed tracing. Native OpenTelemetry and Prometheus support make it easy to collect telemetry from any environment, while hundreds of integrations connect existing systems and tools—allowing organizations to extend observability without vendor lock-in. Grafana Cloud also introduces powerful AI-driven observability capabilities. Grafana Assistant helps teams explore data, investigate incidents, and troubleshoot faster through an intelligent interface built for engineers. Adaptive Telemetry identifies high-value signals and aggregates the rest, helping organizations reduce telemetry costs while maintaining operational insight. With solutions spanning Kubernetes monitoring, application and infrastructure observability, frontend monitoring, database observability, incident response, synthetic monitoring, and performance testing, Grafana Cloud delivers the clarity teams need to move faster and operate with confidence.
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Rent ManagerRent Manager is an all-encompassing software solution for property management, accounting, customer relationship management, marketing, reporting, and facility maintenance, designed to empower users with the ability to oversee various property types effectively. This platform offers extensive customization options, allowing users to modify numerous features such as report generation, interface aesthetics, and individualized information display tailored to each user’s needs. With its robust double-entry accounting system, users can meticulously monitor every financial detail, whether they are managing a single property or an extensive portfolio of hundreds. By streamlining everyday operations, Rent Manager significantly cuts down on the time spent on routine tasks, enabling users to dedicate more efforts toward expanding their business ventures. The accompanying rmAppSuite Pro mobile application further enhances accessibility, allowing property managers to retrieve and manage their data on-the-go for tasks like conducting inspections, communicating with tenants, and tracking violations directly from their mobile devices. Additionally, Rent Manager boasts an extensive library of over 450 pre-built reports, equipping users with the necessary insights to address critical operational inquiries, ranging from financial health to service-related issues, occupancy rates, and leasing activities. This comprehensive approach ensures that property managers have all the tools they need for efficient and effective property oversight.
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AdRem NetCrunchNetCrunch is commercial, self-hosted, agentless network and IT infrastructure monitoring software for Windows Server. It monitors network devices, servers, virtualization platforms, cloud services including AWS, Azure, and Google Cloud, applications, websites, logs, telemetry, and custom data using technologies such as SNMP, WMI, REST APIs, and scripts. NetCrunch supports 680+ monitoring targets and provides 270+ ready-to-use Monitoring Packs for devices, applications, and operating systems. Policy-based monitoring automatically applies monitoring settings, Monitoring Packs, thresholds, and alerts to matching devices and systems. Licensing is based on monitored nodes and network interfaces rather than individual sensors, checks, or metrics. Real-time dashboards and automatic Layer 2 and routing topology maps provide visibility into network status and performance. NetCrunch supports event correlation, dependency-aware alert suppression, predictive thresholds, escalation, and 40+ automated response actions, including script execution, notifications, webhooks, and integrations with external IT and collaboration tools. NetCrunch also provides hardware and software inventory, network device configuration backup and change tracking, bandwidth monitoring, and network traffic analysis using NetFlow, sFlow, IPFIX, and other flow technologies. Distributed Monitoring Probes extend monitoring to remote and isolated locations, while REST APIs support integration and automation with external systems. NetCrunch is self-hosted on Windows Server and can monitor on-premises, air-gapped, cloud, and hybrid IT environments.
What is Kazuhm?
By the year 2025, it is anticipated that the Internet of Things (IoT) will comprise 41 billion devices capable of producing over 76 zettabytes of data. In response, organizations are increasingly adopting IoT strategies aimed at boosting manufacturing productivity and prioritizing employee safety. A variety of industries, such as utilities, agriculture, energy, and healthcare, are harnessing interconnected sensor networks to collect a wide range of observable and actionable insights. Nevertheless, to fully realize the benefits of IoT projects, it is essential for data to be processed rapidly enough to impact decision-making in microseconds. Furthermore, managing the costs tied to data processing and storage is vital for organizations seeking a solid return on investment. To address these challenges, a groundbreaking distributed computing technology known as Kazuhm has emerged, designed to process IoT data directly within networks on the originating devices, which facilitates ultra-low latency and lowers costs compared to conventional cloud or edge solutions. This cutting-edge method not only streamlines data management but also equips companies to react to real-time information with greater efficiency and agility. Ultimately, the integration of such technologies could redefine how businesses operate and respond to the dynamic demands of their industries.
What is Embiot?
Embiot® is a cutting-edge IoT analytics software agent designed for use in smart sensor and IoT gateway applications, now available for deployment. This edge computing tool can be seamlessly integrated into various devices, including smart sensors and gateways, while demonstrating the capability to perform complex analytics on substantial volumes of raw data rapidly.
Utilizing a stream processing model, Embiot adeptly handles sensor data received at different intervals and in varying sequences. Its user-friendly configuration language, enriched with mathematical, statistical, and AI functions, facilitates the quick resolution of analytics challenges.
Embiot accommodates a variety of input protocols such as MODBUS, MQTT, REST/XML, and REST/JSON, along with additional formats like Name/Value and CSV. Additionally, it can generate and dispatch output reports to multiple destinations at once, supporting formats including REST, custom text, and MQTT. For added security, Embiot provides TLS support on select input streams and incorporates HTTP and MQTT authentication measures. This comprehensive feature set ensures that users can effectively manage and analyze their IoT data with confidence.
Integrations Supported
API Availability
API Availability
Pricing Information
Pricing not provided
Free Trial Offered?
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
Android
Windows
Mac
Linux
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
Training Options
Not specified
Training Options
Documentation Hub
Company Facts
Organization Name
Kazuhm
Date Founded
2017
Company Location
United States
Company Website
www.kazuhm.com
Company Facts
Organization Name
Telchemy
Date Founded
1999
Company Location
United States
Company Website
www.telchemy.com/embiot.php
Categories and Features
IoT
Not specified