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

Alerta vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K
Alerta
Alerta
Stacks26
Followers32
Votes0

Alerta vs Prometheus: What are the differences?

  1. Scalability: One key difference between Alerta and Prometheus is their scalability. Prometheus is designed for monitoring infrastructure and services, making it suitable for smaller-scale deployments. On the other hand, Alerta is more focused on alerting and visualization, which allows it to scale better for larger and more complex environments.

  2. Data Retention: Another significant difference is in data retention. Prometheus has a limited data retention period and is primarily intended for short-term monitoring and analysis. Alerta, on the other hand, offers longer data retention capabilities, making it suitable for long-term trend analysis and reporting.

  3. Alerting Mechanism: Alerta and Prometheus differ in their alerting mechanisms. Prometheus relies on its own alerting rules engine to trigger alerts based on predefined conditions. Alerta, on the other hand, provides a more flexible and customizable alerting system, allowing users to define their own rules and escalation paths.

  4. Integration: When it comes to integration, Prometheus is known for its extensive integrations with various systems and cloud providers, making it easy to set up and deploy. Alerta, while also offering integrations, may require more configuration and customization to integrate with certain systems or tools.

  5. User Interface: The user interface is another area where Alerta and Prometheus differ. Prometheus provides a simple, straightforward web interface for querying and graphing metrics. Alerta, on the other hand, offers a more advanced and customizable dashboard with enhanced alert visualization and management features.

  6. Community Support: Finally, community support is a key difference between Alerta and Prometheus. Prometheus has a large and active community of users and contributors, providing extensive documentation, plugins, and support resources. Alerta, while also having a community, may not be as robust or as well-established as Prometheus's community.

In Summary, the key differences between Alerta and Prometheus lie in their scalability, data retention capabilities, alerting mechanisms, integration options, user interfaces, and community support.

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Advice on Prometheus, Alerta

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
Alerta
Alerta

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 combines a JSON API server for receiving, processing and rendering alerts with a simple, yet effective Alerta Web UI and command-line tool.

Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Supports SQL; Flexible alert format; De-duplication and simple correlation
Statistics
GitHub Stars
61.1K
GitHub Stars
-
GitHub Forks
9.9K
GitHub Forks
-
Stacks
4.8K
Stacks
26
Followers
3.8K
Followers
32
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
New Relic
New Relic
PagerDuty
PagerDuty
Grafana
Grafana
Kibana
Kibana
InfluxDB
InfluxDB
Nagios
Nagios
Amazon CloudWatch
Amazon CloudWatch
Sensu
Sensu
Zabbix
Zabbix

What are some alternatives to Prometheus, Alerta?

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.

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

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.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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