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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. OpsView vs Prometheus

OpsView vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K
OpsView
OpsView
Stacks2
Followers8
Votes0

OpsView vs Prometheus: What are the differences?

Introduction

This markdown code provides a comparison between OpsView and Prometheus, highlighting the key differences between the two monitoring tools.

  1. Architecture: OpsView is a centralized, agent-based monitoring system that uses SNMP to collect data from devices. It offers a hierarchical architecture with a master server and distributed pollers. Prometheus, on the other hand, is a decentralized, agentless monitoring system that uses pull-based scraping to collect data from exporters. It follows a federated architecture with independent Prometheus servers.

  2. Data Collection: OpsView relies on SNMP for data collection and requires SNMP agents to be installed on the monitored devices. It mainly collects performance data such as CPU, memory, and network usage. Prometheus, on the other hand, supports various data collection methods including exporters, which act as intermediaries to scrape and expose metrics. It can collect metrics related to different systems, applications, and services.

  3. Data Storage: OpsView stores collected data in a MySQL or PostgreSQL database. It offers long-term retention by archiving data into separate tables or databases. Prometheus, in contrast, has its own time-series database built-in. It stores all collected metrics locally and uses a compressed, replicated, and distributed storage format. It supports efficient querying and retention of data.

  4. Alerting and Notification: OpsView provides built-in alerting and notification mechanisms. It supports threshold-based alerting, where alerts are triggered based on predefined conditions. Notifications can be sent via various channels such as email, SMS, or integrations with third-party tools. Prometheus also offers alerting capabilities but relies on its Alertmanager component for defining and managing alerts. It supports flexible rules and integrations for sending notifications.

  5. Service Discovery: OpsView relies on manual configuration for adding and monitoring devices. It requires the addition of hosts and services through its web interface or configuration files. Prometheus, on the other hand, provides dynamic service discovery capabilities. It can automatically discover and monitor new targets based on predefined discovery mechanisms such as DNS, Kubernetes, or file-based discovery.

  6. Community and Ecosystem: OpsView is a commercial tool that offers professional support and enterprise features. It has a dedicated community but a smaller ecosystem compared to Prometheus. Prometheus is open-source and has a strong community and extensive ecosystem. It has a wide range of integrations, exporters, and plugins developed by the community, making it more flexible and extensible.

In Summary, OpsView and Prometheus differ in their architecture, data collection methods, data storage, alerting, service discovery capabilities, and community/ecosystem size.

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Advice on Prometheus, OpsView

Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
Comments
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments
Mat
Mat

Head of Cloud at Mats Cloud

Oct 30, 2019

Needs advice

We're looking for a Monitoring and Logging tool. It has to support AWS (mostly 100% serverless, Lambdas, SNS, SQS, API GW, CloudFront, Autora, etc.), as well as Azure and GCP (for now mostly used as pure IaaS, with a lot of cognitive services, and mostly managed DB). Hopefully, something not as expensive as Datadog or New relic, as our SRE team could support the tool inhouse. At the moment, we primarily use CloudWatch for AWS and Pandora for most on-prem.

794k views794k
Comments

Detailed Comparison

Prometheus
Prometheus
OpsView
OpsView

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

It monitor Your Infrastructure and Applications on-premise or in the cloud, anticipate and resolve issues before user impact. . Full information helps you to work smarter, faster and make more informed decisions.

Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Dashboards; Business Service Monitoring; Opspacks; Notification Platform Integrations; REST API; Process Maps; Mobile App; Hosts Auto-Discovery; Changelog; History Data Storage; Metrics Graphs; Links Management; Built-In Notifications; Opsview Watchdog; Service Desk Integrations; Security Wallet; SNMP Traps; SLA Reporting & Trend Reports; Network Analyzer; Failover Support; Multi-Site Monitoring
Statistics
GitHub Stars
61.1K
GitHub Stars
-
GitHub Forks
9.9K
GitHub Forks
-
Stacks
4.8K
Stacks
2
Followers
3.8K
Followers
8
Votes
239
Votes
0
Pros & Cons
Pros
  • 47
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
Cons
  • 12
    Just for metrics
  • 6
    Bad UI
  • 6
    Needs monitoring to access metrics endpoints
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
No community feedback yet
Integrations
Grafana
Grafana
Slack
Slack
Twilio
Twilio
PagerDuty
PagerDuty
HipChat
HipChat
VictorOps
VictorOps

What are some alternatives to Prometheus, OpsView?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Amazon CloudWatch

Amazon CloudWatch

It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Stackdriver

Stackdriver

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

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