List of the Top 8 Network Monitoring Software for MongoDB in 2025

Enhance and streamline your network monitoring with the robust solutions offered by New Relic. Effortlessly combine SNMP and flow data throughout your infrastructure to gain immediate insights into performance and traffic trends. Utilize AI-driven alerts for swift anomaly detection, improve operational efficiency, and minimize MTTR through actionable insights. Designed specifically for enterprise requirements, New Relic guarantees that your network remains effective, dependable, and prepared for any challenge. Discover the benefits of comprehensive, unified analysis and elevate your IT strategy now.

Pandora FMS boasts over 50,000 installations worldwide, making it a comprehensive monitoring solution that addresses various traditional monitoring sectors such as servers, networks, applications, logs, synthetic transactions, remote management, and inventory. This platform enables swift identification and resolution of issues, effectively scaling to accommodate both on-premise and multi-cloud environments. With Pandora FMS, users can leverage their entire IT infrastructure and analytical tools to tackle even the most elusive problems. Additionally, it offers extensive control over a wide range of technologies and applications through its collection of more than 500 plugins, which support systems like SAP, Oracle, Lotus, Citrix, Jboss, VMware, AWS, and SQL Server. Consequently, organizations can ensure optimal performance and reliability across their entire technology ecosystem.

Sematext Cloud offers comprehensive observability tools tailored for contemporary software-driven enterprises, delivering crucial insights into the performance of both the front-end and back-end systems. With features such as infrastructure monitoring, synthetic testing, transaction analysis, log management, and both real user and synthetic monitoring, Sematext ensures businesses have a complete view of their systems. This platform enables organizations to swiftly identify and address significant performance challenges, all accessible through a unified cloud solution or an on-premise setup, enhancing overall operational efficiency.

Better Stack is an all-in-one observability tool designed to help you ship more reliable software, faster. Easily manage on-call schedules, get meaningful alerts, and respond to incidents quickly. It unifies everything from uptime checks and incident workflows to log aggregation, infrastructure monitoring, and both public and private status pages. Better Stack merges your monitoring and alerting processes into one streamlined interface – giving you greater visibility and cutting down response times. Highlights include a high-performance Kubernetes collector built with eBPF and OpenTelemetry, real-time alerts, and shared dashboards for team collaboration. At its core, Better Stack leverages ClickHouse to support ultra-fast analytics and high-volume data ingestion across complex datasets. Aggregate your logs into structured events, visualize your systems in real time, and run SQL queries as if everything lived in a single database. Works seamlessly with your existing tools thanks to 100+ ready-to-use integrations.

Checkmk serves as a robust IT monitoring solution that empowers system administrators, IT managers, and DevOps teams to swiftly detect and address problems within their entire IT ecosystem, encompassing servers, applications, networks, storage, databases, and containers. Over 2,000 commercial clients globally, along with a multitude of open-source users, rely on Checkmk for their daily monitoring needs. Some of the key features of the product include service state monitoring with nearly 2,000 pre-configured checks, event and log monitoring, comprehensive metric tracking with dynamic graphing and long-term storage capabilities, as well as in-depth reporting that covers accessibility and service level agreements (SLAs). Additionally, Checkmk offers flexible notification options accompanied by automated alert management, monitoring for complex systems and business processes, a thorough inventory of both software and hardware, and a graphical, rule-based configuration that facilitates automated service discovery. The primary applications of Checkmk encompass various monitoring activities, including server, network, application, database, storage, cloud, and container monitoring. This versatility makes it an essential tool for organizations seeking to enhance their IT infrastructure's reliability and performance. By utilizing Checkmk, teams can ensure that their systems are always running optimally and can respond proactively to potential issues before they escalate.

Elevate your monitoring and alerting strategies by utilizing a leading open-source tool known as Prometheus. This powerful platform organizes its data in the form of time series, which are essentially sequences of values linked to specific timestamps, metrics, and labeled dimensions. Beyond the stored time series, Prometheus can generate temporary derived time series based on the results of queries, enhancing versatility. Its querying capabilities are powered by PromQL (Prometheus Query Language), which enables users to real-time select and aggregate data from time series. The results from these queries can be visualized as graphs, presented in a table format via Prometheus's expression browser, or retrieved by external applications through its HTTP API. To configure Prometheus, users can employ both command-line flags and a configuration file, where flags define unchangeable system parameters such as storage locations and retention thresholds for disk and memory. This combination of configuration methods offers a customized monitoring experience that can accommodate a variety of user requirements. If you’re keen on delving deeper into this feature-rich tool, additional information is available at: https://sourceforge.net/projects/prometheus.mirror/. With Prometheus, you can achieve a level of monitoring sophistication that optimizes performance and responsiveness.

Centreon stands as a worldwide leader in IT monitoring that emphasizes business awareness to ensure optimal performance and uninterrupted operations. The company's AIOps-ready platform is comprehensive and tailored to function effectively within the intricacies of modern hybrid cloud environments, adeptly addressing the challenges posed by distributed clouds. By monitoring every facet of IT infrastructure, from cloud services to edge devices, Centreon provides a detailed and all-encompassing perspective. It eradicates blind spots by overseeing all hardware, middleware, and applications integral to contemporary IT workflows. This monitoring encompasses legacy systems on-premises, as well as assets in private and public clouds, extending all the way to the network's edge where smart devices and customer interactions converge to generate business value. Always keeping pace with the latest developments, Centreon is adept at managing even the most fluid operational settings. Its auto-discovery features enable seamless tracking of Software Defined Networks (SDN), AWS or Azure cloud resources, Wi-Fi access points, and all other components vital to today’s flexible IT infrastructure. Through continuous innovation and a commitment to adaptability, Centreon ensures that organizations maintain a competitive edge in an ever-evolving digital landscape.

Selector's software-as-a-service utilizes advanced machine learning and natural language processing to provide self-service analytics that enable quick access to actionable insights, leading to a remarkable reduction in mean time to resolution (MTTR) by up to 90%. The groundbreaking Selector Analytics platform harnesses artificial intelligence alongside machine learning to execute three vital functions, providing network, cloud, and application operators with essential insights. It consolidates data from a vast array of sources, such as configurations, alerts, metrics, events, and logs, which can include information from router logs, device performance statistics, or the settings of devices across the network. After collecting this data, the system normalizes, filters, clusters, and correlates it through established workflows to produce actionable insights. Following this, Selector Analytics employs machine learning-based data analysis to scrutinize metrics and events, facilitating the automated identification of anomalies. This process allows operators to quickly pinpoint and resolve issues, thereby improving overall operational efficiency. By adopting this thorough methodology, organizations not only enhance their data processing capabilities but also gain the ability to make informed decisions driven by real-time analytics. Ultimately, this empowers teams to respond to challenges proactively and adapt swiftly to the dynamic landscape of their operations.