Alternatives to Prometheus logo

Alternatives to Prometheus

Datadog, Grafana, New Relic, InfluxDB, and Splunk are the most popular alternatives and competitors to Prometheus.
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What is Prometheus and what are its top alternatives?

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.
Prometheus is a tool in the Monitoring Tools category of a tech stack.
Prometheus is an open source tool with 35.6K GitHub stars and 5.7K GitHub forks. Here鈥檚 a link to Prometheus's open source repository on GitHub

Top Alternatives to Prometheus

  • 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. ...

  • New Relic

    New Relic

    New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code. ...

  • InfluxDB

    InfluxDB

    InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out. ...

  • Splunk

    Splunk

    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data. ...

  • Graphite

    Graphite

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

  • Zabbix

    Zabbix

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

  • AppDynamics

    AppDynamics

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

Prometheus alternatives & related posts

Datadog logo

Datadog

5.1K
4.3K
751
Unify logs, metrics, and traces from across your distributed infrastructure.
5.1K
4.3K
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PROS OF DATADOG
  • 130
    Monitoring for many apps (databases, web servers, etc)
  • 103
    Easy setup
  • 83
    Powerful ui
  • 80
    Powerful integrations
  • 66
    Great value
  • 50
    Great visualization
  • 41
    Events + metrics = clarity
  • 39
    Custom metrics
  • 38
    Notifications
  • 36
    Flexibility
  • 16
    Free & paid plans
  • 13
    Great customer support
  • 12
    Makes my life easier
  • 7
    Easy setup and plugins
  • 6
    Adapts automatically as i scale up
  • 5
    Super easy and powerful
  • 4
    In-context collaboration
  • 4
    AWS support
  • 3
    Rich in features
  • 2
    Best than others
  • 2
    Cost
  • 2
    Docker support
  • 1
    Free setup
  • 1
    Easy to Analyze
  • 1
    Monitor almost everything
  • 1
    Automation tools
  • 1
    Source control and bug tracking
  • 1
    Full visibility of applications
  • 1
    Expensive
  • 1
    Cute logo
  • 1
    Simple, powerful, great for infra
CONS OF DATADOG
  • 12
    Expensive
  • 2
    No errors exception tracking
  • 1
    Complicated

related Datadog posts

Robert Zuber

Our primary source of monitoring and alerting is Datadog. We鈥檝e got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We鈥檝e definitely scaled past the point where managing dashboards is easy, but we haven鈥檛 had time to invest in using features like Anomaly Detection. We鈥檝e started using Honeycomb for some targeted debugging of complex production issues and we are liking what we鈥檝e seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.

We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.

See more

We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

See more
Grafana logo

Grafana

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6.5K
369
Open source Graphite & InfluxDB Dashboard and Graph Editor
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PROS OF GRAFANA
  • 79
    Beautiful
  • 64
    Graphs are interactive
  • 52
    Easy
  • 50
    Free
  • 33
    Nicer than the Graphite web interface
  • 23
    Many integrations
  • 14
    Can build dashboards
  • 9
    Easy to specify time window
  • 8
    Can collaborate on dashboards
  • 8
    Dashboards contain number tiles
  • 5
    Open Source
  • 4
    Integration with InfluxDB
  • 4
    Authentification and users management
  • 4
    Click and drag to zoom in
  • 3
    Threshold limits in graphs
  • 2
    Alerts
  • 2
    Great community support
  • 2
    It is open to cloud watch and many database
  • 1
    You can visualize real time data to put alerts
  • 1
    You can use this for development to check memcache
  • 1
    Simple and native support to Prometheus
  • 0
    Plugin visualizationa
  • 0
    Grapsh as code
CONS OF GRAFANA
    Be the first to leave a con

    related Grafana posts

    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber | 13 upvotes 路 2.7M views

    Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

    By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node鈥檚 disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

    To ensure the scalability of Uber鈥檚 metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

    https://eng.uber.com/m3/

    (GitHub : https://github.com/m3db/m3)

    See more
    Shared insights
    on
    GrafanaGrafanaKibanaKibana
    at

    For our Predictive Analytics platform, we have used both Grafana and Kibana

    Kibana has predictions and ML algorithms support, so if you need them, you may be better off with Kibana . The multi-variate analysis features it provide are very unique (not available in Grafana).

    For everything else, definitely Grafana . Especially the number of supported data sources, and plugins clearly makes Grafana a winner (in just visualization and reporting sense). Creating your own plugin is also very easy. The top pros of Grafana (which it does better than Kibana ) are:

    • Creating and organizing visualization panels
    • Templating the panels on dashboards for repetetive tasks
    • Realtime monitoring, filtering of charts based on conditions and variables
    • Export / Import in JSON format (that allows you to version and save your dashboard as part of git)
    See more
    New Relic logo

    New Relic

    17.7K
    5.9K
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    SaaS Application Performance Management for Ruby, PHP, .Net, Java, Python, and Node.js Apps.
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    5.9K
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    PROS OF NEW RELIC
    • 416
      Easy setup
    • 345
      Really powerful
    • 244
      Awesome visualization
    • 194
      Ease of use
    • 152
      Great ui
    • 107
      Free tier
    • 81
      Great tool for insights
    • 66
      Heroku Integration
    • 55
      Market leader
    • 49
      Peace of mind
    • 21
      Push notifications
    • 20
      Email notifications
    • 16
      Heroku Add-on
    • 16
      Error Detection and Alerting
    • 12
      Multiple language support
    • 11
      Server Resources Monitoring
    • 11
      SQL Analysis
    • 9
      Transaction Tracing
    • 8
      Azure Add-on
    • 8
      Apdex Scores
    • 7
      Analysis of CPU, Disk, Memory, and Network
    • 6
      Application Response Times
    • 6
      Detailed reports
    • 6
      Performance of External Services
    • 6
      Error Analysis
    • 6
      Application Availability Monitoring and Alerting
    • 5
      Most Time Consuming Transactions
    • 5
      JVM Performance Analyzer (Java)
    • 4
      Easy to use
    • 4
      Browser Transaction Tracing
    • 4
      Top Database Operations
    • 3
      Pagoda Box integration
    • 3
      Custom Dashboards
    • 3
      Weekly Performance Email
    • 3
      Application Map
    • 2
      Easy to setup
    • 2
      App Speed Index
    • 2
      Easy visibility
    • 1
      Metric Data Retention
    • 1
      Team Collaboration Tools
    • 1
      Worst Transactions by User Dissatisfaction
    • 1
      Real User Monitoring Analysis and Breakdown
    • 1
      Time Comparisons
    • 1
      Access to Performance Data API
    • 1
      Metric Data Resolution
    • 1
      Background Jobs Transaction Analysis
    • 1
      Incident Detection and Alerting
    • 1
      Real User Monitoring Overview
    • 1
      Best of the best, what more can you ask for
    • 1
      Best monitoring on the market
    • 1
      Rails integration
    • 1
      Free
    • 1
      Super Expensive
    • 0
      Exceptions
    CONS OF NEW RELIC
    • 18
      Pricing model doesn't suit microservices
    • 10
      UI isn't great
    • 7
      Expensive
    • 7
      Visualizations aren't very helpful
    • 5
      Hard to understand why things in your app are breaking

    related New Relic posts

    Farzeem Diamond Jiwani
    Software Engineer at IVP | 5 upvotes 路 429.4K views

    Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

    Current Environment: .NET Core Web app hosted on Microsoft IIS

    Future Environment: Web app will be hosted on Microsoft Azure

    Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

    Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

    Please advise on the above. Thanks!

    See more
    Sebastian G臋bski

    Regarding Continuous Integration - we've started with something very easy to set up - CircleCI , but with time we're adding more & more complex pipelines - we use Jenkins to configure & run those. It's much more effort, but at some point we had to pay for the flexibility we expected. Our source code version control is Git (which probably doesn't require a rationale these days) and we keep repos in GitHub - since the very beginning & we never considered moving out. Our primary monitoring these days is in New Relic (Ruby & SPA apps) and AppSignal (Elixir apps) - we're considering unifying it in New Relic , but this will require some improvements in Elixir app observability. For error reporting we use Sentry (a very popular choice in this class) & we collect our distributed logs using Logentries (to avoid semi-manual handling here).

    See more
    InfluxDB logo

    InfluxDB

    785
    790
    157
    An open-source distributed time series database with no external dependencies
    785
    790
    + 1
    157
    PROS OF INFLUXDB
    • 46
      Time-series data analysis
    • 27
      Easy setup, no dependencies
    • 24
      Fast, scalable & open source
    • 21
      Open source
    • 18
      Real-time analytics
    • 6
      Continuous Query support
    • 5
      Easy Query Language
    • 4
      Out-of-the-box, automatic Retention Policy
    • 4
      HTTP API
    • 1
      Offers Enterprise version
    • 1
      Free Open Source version
    CONS OF INFLUXDB
    • 4
      Instability
    • 1
      HA or Clustering is only in paid version

    related InfluxDB posts

    Splunk logo

    Splunk

    386
    581
    10
    Search, monitor, analyze and visualize machine data
    386
    581
    + 1
    10
    PROS OF SPLUNK
    • 1
      Ability to style search results into reports
    • 1
      API for searching logs, running reports
    • 1
      Query any log as key-value pairs
    • 1
      Splunk language supports string, date manip, math, etc
    • 1
      Granular scheduling and time window support
    • 1
      Alert system based on custom query results
    • 1
      Query engine supports joining, aggregation, stats, etc
    • 1
      Custom log parsing as well as automatic parsing
    • 1
      Dashboarding on any log contents
    • 1
      Rich GUI for searching live logs
    CONS OF SPLUNK
    • 1
      Splunk query language rich so lots to learn

    related Splunk posts

    Shared insights
    on
    KibanaKibanaSplunkSplunkGrafanaGrafana

    I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

    See more
    Graphite logo

    Graphite

    348
    334
    39
    A highly scalable real-time graphing system
    348
    334
    + 1
    39
    PROS OF GRAPHITE
    • 16
      Render any graph
    • 9
      Great functions to apply on timeseries
    • 7
      Well supported integrations
    • 5
      Includes event tracking
    • 2
      Rolling aggregation makes storage managable
    CONS OF GRAPHITE
      Be the first to leave a con

      related Graphite posts

      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber | 13 upvotes 路 2.7M views

      Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

      By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node鈥檚 disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

      To ensure the scalability of Uber鈥檚 metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

      https://eng.uber.com/m3/

      (GitHub : https://github.com/m3db/m3)

      See more

      A huge part of our continuous deployment practices is to have granular alerting and monitoring across the platform. To do this, we run Sentry on-premise, inside our VPCs, for our event alerting, and we run an awesome observability and monitoring system consisting of StatsD, Graphite and Grafana. We have dashboards using this system to monitor our core subsystems so that we can know the health of any given subsystem at any moment. This system ties into our PagerDuty rotation, as well as alerts from some of our Amazon CloudWatch alarms (we鈥檙e looking to migrate all of these to our internal monitoring system soon).

      See more
      Zabbix logo

      Zabbix

      469
      631
      55
      Track, record, alert and visualize performance and availability of IT resources
      469
      631
      + 1
      55
      PROS OF ZABBIX
      • 13
        Free
      • 7
        Alerts
      • 5
        Service/node/network discovery
      • 5
        Templates
      • 4
        Base metrics from the box
      • 3
        Multi-dashboards
      • 3
        SMS/Email/Messenger alerts
      • 2
        Supports Graphs ans screens
      • 2
        Support proxies (for monitoring remote branches)
      • 2
        Grafana plugin available
      • 1
        API available for creating own apps
      • 1
        Templates free available (Zabbix Share)
      • 1
        Works with multiple databases
      • 1
        Supports large variety of Operating Systems
      • 1
        Supports multiple protocols/agents
      • 1
        Complete Logs Report
      • 1
        Advanced integrations
      • 1
        Supports JMX (Java, Tomcat, Jboss, ...)
      • 1
        Perform website checking (response time, loading, ...)
      CONS OF ZABBIX
      • 4
        The UI is in PHP
      • 2
        Puppet module is sluggish

      related Zabbix posts

      Shared insights
      on
      DatadogDatadogZabbixZabbixCentreonCentreon

      My team is divided on using Centreon or Zabbix for enterprise monitoring and alert automation. Can someone let us know which one is better? There is one more tool called Datadog that we are using for cloud assets. Of course, Datadog presents us with huge bills. So we want to have a comparative study. Suggestions and advice are welcome. Thanks!

      See more
      AppDynamics logo

      AppDynamics

      223
      413
      57
      Application management for the cloud generation
      223
      413
      + 1
      57
      PROS OF APPDYNAMICS
      • 17
        Deep code visibility
      • 10
        Powerful
      • 7
        Real-Time Visibility
      • 7
        Great visualization
      • 6
        Easy Setup
      • 5
        Comprehensive Coverage of Programming Languages
      • 3
        Deep DB Troubleshooting
      • 2
        Excellent Customer Support
      CONS OF APPDYNAMICS
      • 5
        Expensive
      • 2
        Poor to non-existent integration with aws services

      related AppDynamics posts

      Farzeem Diamond Jiwani
      Software Engineer at IVP | 5 upvotes 路 429.4K views

      Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

      Current Environment: .NET Core Web app hosted on Microsoft IIS

      Future Environment: Web app will be hosted on Microsoft Azure

      Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

      Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

      Please advise on the above. Thanks!

      See more

      Hi Folks,

      I am trying to evaluate Site24x7 against AppDynamics, Dynatrace, and New Relic. Has anyone used Site24X7? If so, what are your opinions on the tool? I know that the license costs are very low compared to other tools in the market. Other than that, are there any major issues anyone has encountered using the tool itself?

      See more