Best Network Monitoring Software for MongoDB
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Compare the Top Network Monitoring Software that integrates with MongoDB as of July 2025
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This a list of Network Monitoring software that integrates with MongoDB. Use the filters on the left to add additional filters for products that have integrations with MongoDB. View the products that work with MongoDB in the table below.
What is Network Monitoring Software for MongoDB?
Network monitoring software is software that tracks and manages the performance, availability, and health of an organization's network infrastructure. These platforms provide real-time monitoring of network devices such as routers, switches, servers, and firewalls to ensure optimal performance and identify potential issues before they impact operations. Network monitoring software typically includes features like alerting, traffic analysis, bandwidth monitoring, and uptime reporting. It helps IT teams detect bottlenecks, security breaches, or failures, allowing them to take corrective action quickly. By providing detailed insights into network traffic and performance, network monitoring software helps ensure smooth network operations, improve efficiency, and minimize downtime. Compare and read user reviews of the best Network Monitoring software for MongoDB currently available using the table below. This list is updated regularly.
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1
Pandora FMS
Pandora FMS
With more than 50,000 customer installations across the five continents, Pandora FMS is a truly all-in-one monitoring solution, covering all traditional silos for specific monitoring: servers, networks, applications, logs, synthetic/transactional, remote control, inventory, etc. Pandora FMS gives you the agility to find and solve problems quickly, scaling them so they can be derived from any source, on-premise, multi cloud or both of them mixed. Now you have that capability across your entire IT stack and analytics to find any problem, even the ones that are hard to find. Thanks to more than 500 plugins available, you can control and manage any application and technology, from SAP, Oracle, Lotus, Citrix or Jboss to VMware, AWS, SQL Server, Redhat, Websphere, etc.Starting Price: €90/month -
2
Sematext Cloud
Sematext Group
Sematext Cloud is an innovative, unified platform with all-in-one solution for infrastructure monitoring, application performance monitoring, log management, real user monitoring, and synthetic monitoring to provide unified, real-time observability of your entire technology stack. It's used by organizations of all sizes and across a wide range of industries, with the goal of driving collaboration between engineering and business teams, reducing the time of root-cause analysis, understanding user behaviour and tracking key business metrics. The main capabilities range from log monitoring to APM, server monitoring, database monitoring, network monitoring, uptime monitoring, website monitoring or container monitoring Find complete details on our website. Or better: start a free demo, no email address required.Starting Price: $0 -
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New Relic
New Relic
There are an estimated 25 million engineers in the world across dozens of distinct functions. As every company becomes a software company, engineers are using New Relic to gather real-time insights and trending data about the performance of their software so they can be more resilient and deliver exceptional customer experiences. Only New Relic provides an all-in-one platform that is built and sold as a unified experience. With New Relic, customers get access to a secure telemetry cloud for all metrics, events, logs, and traces; powerful full-stack analysis tools; and simple, transparent usage-based pricing with only 2 key metrics. New Relic has also curated one of the industry’s largest ecosystems of open source integrations, making it easy for every engineer to get started with observability and use New Relic alongside their other favorite applications.Starting Price: Free -
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Better Stack
Better Stack
Better Stack is a unified observability tool that helps you ship higher-quality software faster. Monitor everything from websites to servers. Schedule on-call rotations, get actionable alerts, and resolve incidents faster than ever. Visualize your entire stack, aggregate all your logs into structured data, and query everything like a single database with SQL. Made to fit into your workflow with over 100+ integrations.Starting Price: $29 per month -
5
Checkmk
Checkmk
Checkmk is a comprehensive IT monitoring system that enables system administrators, IT managers, and DevOps teams to identify issues across their entire IT infrastructure (servers, applications, networks, storage, databases, containers) and act quickly to resolve them More than 2,000 commercial customers and many more open source users worldwide use Checkmk daily. Key product features: • Service state monitoring with almost 2,000 checks 'out of the box' • Log and event-based monitoring • Metrics, dynamic graphing, and long-term storage • Comprehensive reporting incl. availability and SLAs • Flexible notifications and automated alert handling • Monitoring of business processes and complex systems • Hardware and software inventory • Graphical, rule-based configuration, and automated service discovery Top use cases: • Server Monitoring • Network Monitoring • Application Monitoring • Database Monitoring • Storage Monitoring • Cloud Monitoring • Container MonitoringStarting Price: $0/year -
6
Prometheus
Prometheus
Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.). Download: https://sourceforge.net/projects/prometheus.mirror/Starting Price: Free -
7
Centreon
Centreon
Centreon is a global provider of business-aware IT monitoring for always-on operations and performance excellence. The company’s holistic, AIOps-ready platform is designed for today’s complex, distributed hybrid cloud infrastructures. Centreon monitors the complete IT Infrastructure from Cloud-to-Edge for a clear and comprehensive view. Centreon removes blind spots, monitoring all equipment, middleware and applications that are part of modern IT workflows, from on-premise legacy assets to private and public cloud environments, all the way to the edge of the network, where smart devices and customers combine to create business value. Centreon is constantly current, able to support the most dynamic environments. With auto-discovery capabilities it can keep track of Software-Defined Network (SDN) elements, AWS or Azure cloud assets, Wi-Fi access points or any other component of today’s agile IT infrastructure. -
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Selector Analytics
Selector
Selector’s software-as-a-service employs machine learning and NLP-driven, self-serve analytics to provide instant access to actionable insights and reduce MTTR by up to 90%. Selector Analytics uses artificial intelligence and machine learning to conduct three essential functions and provide actionable insights to network, cloud, and application operators. Selector Analytics collects any data (including configurations, alerts, metrics, events, and logs), from various heterogeneous data sources. For example, Selector Analytics may harvest data from router logs, device or network metrics, or device configurations. Once collected, Selector Analytics normalizes, filters, clusters, and correlates metrics, events, and alarms using pre-built workflows to draw actionable insights. Selector Analytics then uses machine learning-based data analytics to compare metrics and events and conduct automated anomaly detection.
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