Compare Bevywise IoT Platform vs. Gravio

The HiveMQ Platform provides a scalable, reliable data backbone with an event-driven MQTT architecture. Here are a few highlights: 1. MQTT Broker: At the heart of the HiveMQ platform is a fully MQTT-compliant broker purpose-built for fast, reliable, bi-directional data movement between IoT devices and enterprise systems. 2. Edge Data Integration: HiveMQ Edge seamlessly integrates edge data by converting industrial protocols into standardized MQTT, enabling an interoperable IIoT infrastructure. 3. IoT Streaming Governance: Data Hub transforms data in flight, passing only the most relevant, contextualized data to cloud and enterprise systems. 4. 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. 5. Distributed Data Intelligence: HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most. 6. Maximum Interoperability: Runs anywhere on-premises or in public or private clouds. Efficiently connects to streaming applications, databases and data lakes with a Java SDK to build your own 7. Scalability to Support Growth: Elastic scaling with automatic data balancing and smart message distribution. Proven benchmark of up to 200M active clients with 1.8B messages/hour 8. Business Critical Reliability: Zero message loss with persistence to disk and offline queuing. No single point of failure due to masterless cluster architecture and zero downtime upgrades

TelemetryTV is a powerful platform for digital signage that allows organizations to connect with audiences, generate awareness and give voice to their communities and teams. TelemetryTV lets you broadcast dynamic content by streaming video, images and social feeds to all your displays, wherever they may be. TelemetryTV powers internal communications and marketing at Starbucks, Amazon and Stanford University. Our success is based on being flexible, open to communication, collaborative, and open to collaboration. We believe in continuous learning, challenging the status-quo, and listening to customers. We are moving towards a world in which our walls will eventually talk. This begs the question: What do you want them saying?

Edgefinity IoT is a powerful RFID and IoT platform that gives organizations real-time visibility into inventory, assets, equipment, work-in-process, and personnel. By collecting data from RFID readers, sensors, and connected devices, the platform provides a clear view of what is happening across facilities and operations. Edgefinity IoT helps businesses automate tracking, locate critical assets, monitor movement, verify inventory and shipments, improve production visibility, and support safety applications such as personnel tracking and emergency mustering. Configurable rules and alerts can automatically trigger actions when predefined conditions are met, helping teams respond faster and reduce manual oversight. Built to work with a wide range of RFID hardware and IoT technologies, Edgefinity IoT can be deployed in the cloud or on-premise and scaled across applications, facilities, and enterprise operations.

RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.

Addigy makes it easy for IT admins to remotely manage and secure Apple devices using our SaaS solution. Addigy is the only multi-tenant Apple device management and MDM platform for managing macOS, iOS, iPadOS, and tvOS devices across multiple clients and locations. Configure, patch, and maintain devices in the way that you prefer. Gain operational efficiencies and time-savings. Ensure your managed networks are secure from cyberthreats. Maintain end-user privacy. Connect to your favorite IT tools with seamless integrations. Inventory and track every device in your network, regardless of its location. Instantly connect to devices remotely with a single click. Apply and enforce policies to maintain always-on compliance. Deploy new devices in less than 5 minutes. And so much more. Addigy offers simple month-to-month or annual pricing with no contracts + access to every Addigy feature with no additional or hidden costs.

Epicor Connected Process Control (CPC) is a flexible no-code/low-code MES and manufacturing operations platform that helps manufacturers standardize production and assembly processes, improve quality, and increase visibility across the shop floor. Using digital work instructions with multimedia content, manufacturers can guide operators through critical tasks, enforce process control, and improve consistency across products, workstations, and production lines. CPC connects equipment and devices to collect production and quality data in real time, helping manufacturers identify issues faster, reduce waste, and support continuous improvement. CPC provides product traceability with a complete historical record of each product's build and inspection history. Manufacturers use CPC to support assembly verification, error proofing, quality inspections, operator guidance, and other connected manufacturing initiatives. For manufacturers with complex product variations, CPC can dynamically present the correct work instructions based on the product or configuration being built, helping ensure products are assembled accurately and consistently. Available on-premises or in the cloud, CPC scales from a single work cell to enterprise-wide deployments.

Tractian is the Industrial Copilot for maintenance and reliability, combining hardware and software solutions to monitor asset performance, manage industrial operations, and implement predictive maintenance strategies. Its AI-driven platform empowers businesses to prevent unplanned equipment downtime and boost production output. The company is headquartered in Atlanta, GA, and extends its presence globally with offices in Mexico City and Sao Paulo. Learn more at tractian.com.

ISL Light is a remote desktop software that is easy to use for security-conscious users. It offers great value-performance. ISL Light is a powerful tool for IT staff and support personnel to solve problems remotely via remote support, unattended access, or screen-sharing from mobile devices. It is cross-platform and provides 256-bit encrypted sessions, all the standard remote access features, as well as session recording, chat, videocall and multi-monitor support, file transfers, reporting, and many other important extras. Users can choose between cloud and on-premise services. ISL Online license doesn't limit the number or workstations of clients, users, and users you can support. It is a reliable, highly secure software that can be used in all industries, including banks, hospitals, government institutions, and insurances.

NetCrunch is commercial, self-hosted, agentless network and IT infrastructure monitoring software for Windows Server. It monitors network devices, servers, virtualization platforms, cloud services, applications, websites, logs, telemetry, and network traffic across distributed environments. 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. NetCrunch provides real-time dashboards and automatic Layer 2 and routing topology maps for visibility into network status and performance. Network traffic analysis supports NetFlow, sFlow, IPFIX, and other flow technologies. Its alerting system supports event correlation, dependency-aware suppression, predictive thresholds, escalation, and 40+ automated response actions, including scripts, notifications, API calls, and integrations with external systems. Distributed Monitoring Probes extend monitoring to remote and isolated locations. NetCrunch also provides a REST API for integration and automation with external IT management, service management, and operational systems. NetCrunch is self-hosted on Windows Server and can monitor on-premises, air-gapped, cloud, and hybrid IT environments.

Most enterprises can report what AI cost them. Far fewer can say which team owns it, whether it was approved, or what it returned. FinOpsly closes that gap. The platform governs AI spend on the same cost model that carries the cloud, data platform and SaaS an AI workload consumes, so a business unit sees the full cost of an AI initiative instead of four disconnected bills. Capabilities include: Cost estimation before deployment. Model an architecture and get a priced workload across model APIs, GPU capacity, warehouse consumption and storage, with the assumptions on screen. Weigh model choices against consumption you have actually measured. Attribution that holds up in a chargeback cycle. Spend resolves to owners, teams, applications, business units and customers through hierarchies nine or more levels deep. Tagging is standardized across providers, keys and resources are labeled in bulk from plain-language rules, and whatever remains unattributed is published as a number, not absorbed. Guardrails that act. Set budgets by project, team or API key. Catch anomalies with root cause and route them to whoever owns the resource. Surface waste that provider tooling misses, using FinOpsly's own detection models. Plan commitments across AWS, Azure and Google Cloud. Park idle compute on approved schedules, reversibly. Financial results you can defend. Automated chargeback in a single cycle. Savings measured as what reached run-rate against a no-action baseline. Unit economics down to cost per call, per active user and per customer served. For technology and finance leaders accountable for what AI spend returns.