Best Data Management Software for Nagios Core

Find and compare the best Data Management software for Nagios Core in 2025

Use the comparison tool below to compare the top Data Management software for Nagios Core on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    QuantaStor Reviews

    QuantaStor

    OSNEXUS

    $/TB based on scale
    6 Ratings
    See Software
    Learn More
    QuantaStor, a unified Software Defined Storage platform, is designed to scale up and down to simplify storage management and reduce overall storage costs. QuantaStor storage grids can be configured to support complex workflows that span datacenters and sites. QuantaStor's storage technology includes a built-in Federated Management System that allows QuantaStor servers and clients to be combined to make management and automation easier via CLI and RESTAPIs. QuantaStor's layered architecture gives solution engineers unprecedented flexibility and allows them to design applications that maximize workload performance and fault tolerance for a wide variety of storage workloads. QuantaStor provides end-to-end security coverage that allows multi-layer data protection for cloud and enterprise storage deployments.
  • 2
    Telegraf Reviews
    Telegraf is an open-source server agent that helps you collect metrics from your sensors, stacks, and systems. Telegraf is a plugin-driven agent that collects and sends metrics and events from systems, databases, and IoT sensors. Telegraf is written in Go. It compiles to a single binary and has no external dependencies. It also requires very little memory. Telegraf can gather metrics from a wide variety of inputs and then write them into a wide range of outputs. It can be easily extended by being plugin-driven for both the collection and output data. It is written in Go and can be run on any system without external dependencies. It is easy to collect metrics from your endpoints with the 300+ plugins that have been created by data experts in the community.
  • 3
    ClusterControl Reviews

    ClusterControl

    Severalnines

    €250/node/month
    ClusterControl is a multi-cloud hybrid database ops orchestration platform that supports MongoDB and Elasticsearch as well as Redis, TimescaleDB and SQL Server on Linux. It also supports Galera Cluster, PostgreSQL and MySQL in cloud and on-premises environments. It can handle all aspects of the lifecycle, including deployment, failover, backup, and more. It allows organizations to implement the Sovereign DBaaS model with its full suite of databases and ops features. ClusterControl is the ideal solution for organizations who need to run large-scale, open source database operations reliably but don't want to be restricted by traditional DBaaS providers. It allows you to choose your environment, stability of licenses, and gives you DB access.
  • 4
    Enov8 Reviews

    Enov8

    Enov8

    $8 per month
    End-to-end "Business intelligence" for your IT organization. Transparency, control, and productivity are all key to a successful IT organization. Scaled agility in your IT fabric is encouraged. A complete environment and release image supports collaboration across teams and provides the insight organizations need today to drive innovation. You can improve visibility of your complex IT fabric, which will allow for better collaboration and decision-making. A centralized portal allows you to manage complex computer systems and the entire IT fabric. To reduce IT costs and increase project productivity, measure the usage of test environments. Establish control through centralized runbooks and automation for regular and time-consuming tasks to eliminate chaotic and non-repeatable activities. You can manage conflict and change effectively while providing real-time health status and powerful analytics to determine your business impact.
  • 5
    Prometheus Reviews
    Open-source monitoring solutions are able to power your alerting and metrics. Prometheus stores all data in time series. These are streams of timestamped value belonging to the same metric with the same labeled dimensions. Prometheus can also generate temporary derived times series as a result of queries. Prometheus offers a functional query language called PromQL, which allows the user to select and aggregate time series data real-time. The expression result can be displayed as a graph or tabular data in Prometheus’s expression browser. External systems can also consume the HTTP API. Prometheus can be configured using command-line flags or a configuration file. The command-line flags can be used to configure immutable system parameters such as storage locations and the amount of data to be kept on disk and in memory. . Download: https://sourceforge.net/projects/prometheus.mirror/
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