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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Librato vs Prometheus

Librato vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

Librato
Librato
Stacks93
Followers68
Votes31
Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K

Librato vs Prometheus: What are the differences?

Librato vs Prometheus: Key Differences

Librato and Prometheus are both monitoring and metrics collection tools, but they have key differences that make them suitable for different use cases.

  1. Data Models: Librato uses a time-based data model, where metrics are sent at regular intervals and aggregated over time. Prometheus, on the other hand, uses a pull model where metrics are scraped from configured targets on demand. This allows Prometheus to provide a more real-time view of the system.

  2. Query Language: Librato uses a proprietary query language called LQL, which allows users to perform complex queries and calculations on their metrics. Prometheus, on the other hand, uses a powerful query language called PromQL, which is specifically designed for working with time series data. PromQL offers a wide range of functionalities and allows for advanced data aggregation and manipulation.

  3. Data Storage: Librato uses a cloud-based storage system to store metric data, making it easy to scale and manage. Prometheus, on the other hand, uses a local on-disk storage system, which is optimized for high performance and supports long-term data retention. This makes Prometheus more suitable for environments where data security and privacy are concerns.

  4. Alerting and Notification: Librato has built-in alerting and notification features, allowing users to set up custom alerts based on their metrics. Prometheus, on the other hand, uses an external alert manager to handle alerting and notification. This provides more flexibility and allows users to use their preferred notification channels and integrations.

  5. Service Discovery: Librato requires users to manually configure the targets they want to monitor. Prometheus, on the other hand, has built-in service discovery mechanisms that allow it to automatically discover and monitor new services as they come online. This makes Prometheus more suitable for dynamic environments where new services are constantly being added or removed.

In summary, Librato and Prometheus differ in their data models, query languages, data storage, alerting/notification capabilities, and service discovery mechanisms. Librato offers a cloud-based solution with powerful query capabilities and built-in alerting, while Prometheus provides a real-time view of the system with high-performance local storage and extensive service discovery capabilities.

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Advice on Librato, Prometheus

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

Librato
Librato
Prometheus
Prometheus

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

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.

REST API accepts any metrics you define; Turnkey integration with AWS, Heroku, collectd, and more; Integrates with more than 100 open-source agents, and language bindings; Designed for code-instrumentation as well as systems monitoring; Powerful correlation capabilities to compare metrics at any layer in the stack; Apply mathematical and transformative functions to existing metrics; Unlimited dashboards, notifications and collaborator accounts; Annotation streams for tracking aperiodic events; Advanced alerting that ties into best of breed notification services; World class support; Loved equally by operators, software engineers, data engineers, and managers;
Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Statistics
GitHub Stars
-
GitHub Stars
61.1K
GitHub Forks
-
GitHub Forks
9.9K
Stacks
93
Stacks
4.8K
Followers
68
Followers
3.8K
Votes
31
Votes
239
Pros & Cons
Pros
  • 14
    Easy setup
  • 8
    Great visualization
  • 4
    Heroku integration
  • 3
    Free tier
  • 2
    Alerting
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
Integrations
PagerDuty
PagerDuty
Slack
Slack
Amazon SNS
Amazon SNS
Heroku
Heroku
Flowdock
Flowdock
OpsGenie
OpsGenie
Amazon CloudWatch
Amazon CloudWatch
HipChat
HipChat
collectd
collectd
Bigpanda
Bigpanda
Grafana
Grafana

What are some alternatives to Librato, Prometheus?

New Relic

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Datadog

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

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.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Nagios

Nagios

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

AppSignal

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

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

AppDynamics

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Zabbix

Zabbix

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

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