Data Collection Core vs. Mainflux Comparison Chart

HiveMQ is the Industrial AI Platform helping enterprises move from connected devices to intelligent operations. Built on the MQTT standard and a distributed edge-to-cloud architecture, HiveMQ connects and governs industrial data in real time, enabling organizations to act with intelligence. With proven reliability, scalability, and interoperability, HiveMQ provides the foundation industrial companies need to operationalize AI, powering the next generation of intelligent industry. Global leaders including Audi, BMW, Eli Lilly, Liberty Global, Mercedes-Benz, and Siemens trust HiveMQ to run their most mission-critical operations.

NetCrunch is a powerful, scalable, all-in-one network monitoring system built for modern IT environments. It supports agentless monitoring of thousands of devices, covering SNMP, servers, virtualization (VMware, Hyper-V), cloud (AWS, Azure, GCP), traffic flows (NetFlow, sFlow), logs, and custom data via REST or scripts. With 670+ monitoring packs and dynamic views, it automates discovery, configuration, alerting, and automates self-healing actions for efficient remote remediation in response to alerts. Its node-based licensing eliminates sensor sprawl and complexity, providing a clear, cost-effective path to scale. Real-time dashboards, policy-driven setup, advanced alert tuning and 40+ alert actions including remote script execution, service restart, process kill or device reboot-make NetCrunch ideal for organizations replacing legacy tools like PRTG, SolarWinds, or WhatsUp Gold. Fast to deploy and future-proof. Can be installed on-prem, self-hosted in the cloud, or mixed.

Epicor Connected Process Control (CPC), formerly eFlex Systems, provides manufacturers a flexible, no-code/low-code MES solution. No programming or special skills required. Digital work instructions, with multi-media capabilities, along with the ability to integrate virtually any device with communication capabilities, provides 100% historical record of the product and the process. Providing data insight, from production reports, to part history, quality summary and more — address issues quickly, minimize waste and disruptions. Whether you start small in subassembly areas, an entire line, or apply enterprise wide - we work with manufacturers of all sizes and needs. Hosted on prem or in the cloud, you decide what's best for your operations.

RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree.

The most innovative cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. MongoDB Atlas is the global cloud database service for modern applications. Deploy fully managed MongoDB across AWS, Google Cloud, and Azure with best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. The best way to deploy, run, and scale MongoDB in the cloud. MongoDB Atlas offers built-in security controls for all your data. Enable enterprise-grade features to integrate with your existing security protocols and compliance standards. With MongoDB Atlas, your data is protected with preconfigured security features for authentication, authorization, encryption, and more.

Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of Google's scalable infrastructure. We’ve intentionally designed Cloud Run to make developers more productive - you get to focus on writing your code, using your favorite language, and Cloud Run takes care of operating your service. Fully managed compute platform for deploying and scaling containerized applications quickly and securely. Write code your way using your favorite languages (Go, Python, Java, Ruby, Node.js, and more). Abstract away all infrastructure management for a simple developer experience. Build applications in your favorite language, with your favorite dependencies and tools, and deploy them in seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously—depending on traffic. Cloud Run only charges you for the exact resources you use. Cloud Run makes app development & deployment simpler.

JS7 JobScheduler is an Open Source workload automation system designed for performance, resilience and security. It provides unlimited performance for parallel execution of jobs and workflows. JS7 offers cross-platform job execution, managed file transfer, complex no-code job dependencies and a real REST API. Platforms - Cloud scheduling from Containers for Docker®, Kubernetes®, OpenShift® etc. - True multi-platform scheduling on premises for Windows®, Linux®, AIX®, Solaris®, macOS® etc. - Hybrid use for cloud and on premises User Interface - Modern, no-code GUI for inventory management, monitoring and control with web browsers - Near real-time information brings immediate visibility of status changes and log output of jobs and workflows - Multi-client capability, role based access management High Availability - Redundancy and Resilience based on asynchronous design and autonomous Agents - Clustering for all JS7 products, automatic fail-over and manual switch-over

PathSolutions TotalView network monitoring and troubleshooting software bridges the gap between NETWORK MONITORING and TROUBLESHOOTING RESOLUTION telling you WHEN, WHERE and WHY network errors occur. PathSolutions TotalView continuously monitors and tracks the performance of every device and every link in your entire network, going deeper than other solutions by collecting error counters, performance data, configuration information and connectedness. A built-in heuristics engine analyzes all of this information to produce plain-English answers to problems. This means that complex problems can be solved by junior level engineers leaving the senior level engineers to work on more strategic level projects. The core product includes everything needed to run a perfectly healthy network: Configuration management, server monitoring, cloud service monitoring, IPAM, NetFlow, path mapping, and diagramming. Get Total Network Visibility on your network and solve more problems faster.

Addigy is the the only Apple Device Management platform that lets IT admins manage Apple devices in real-time, including macOS, iOS, iPadOS and tvOS devices. Our cloud-based multi-tenant platform combines MDM with live agent capabilities to manage and secure your Apple ecosystem — whether you’re managing 100 devices or 10,000. Addigy Guarantees Your Apple Success! How? Let us show you: • Real-time monitoring and management of all your Apple devices. • Secure user onboarding, fully automated. Deploy a new Mac in less than 5 minutes. • Custom compliance support to enforce policies for both groups and individual devices. • Easy software updates. Report, configure, and deploy all OS and third-party software updates. • Instant remote access to macOS devices for fast troubleshooting and issue resolution. Everything your team needs for optimal Apple management—and nothing you don’t.

AnalyticsCreator is a metadata-driven data warehouse automation application for teams working in the Microsoft data ecosystem. It enables data engineers to design, generate, and maintain production-ready data products across Microsoft SQL Server, Azure Data Factory, and Microsoft Fabric. By using centralized metadata, AnalyticsCreator generates ELT pipelines, dimensional models, historization logic, and analytical models in a consistent, version-controlled way. This reduces manual implementation effort and tool sprawl while ensuring transparency through built-in lineage tracking and clear visibility into data dependencies and change impact. With CI/CD integration via Azure DevOps and GitHub, plus support for custom SQL, AnalyticsCreator helps data teams scale delivery, enforce standards, and maintain control as complexity grows.