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 39.8K GitHub stars and 6.6K GitHub forks. Here’s 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

    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. ...

  • 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

6.1K
5.3K
792
Unify logs, metrics, and traces from across your distributed infrastructure.
6.1K
5.3K
+ 1
792
PROS OF DATADOG
  • 133
    Monitoring for many apps (databases, web servers, etc)
  • 104
    Easy setup
  • 84
    Powerful ui
  • 81
    Powerful integrations
  • 68
    Great value
  • 52
    Great visualization
  • 44
    Events + metrics = clarity
  • 40
    Custom metrics
  • 39
    Notifications
  • 37
    Flexibility
  • 17
    Free & paid plans
  • 14
    Great customer support
  • 13
    Makes my life easier
  • 8
    Adapts automatically as i scale up
  • 8
    Easy setup and plugins
  • 6
    Super easy and powerful
  • 5
    In-context collaboration
  • 5
    AWS support
  • 4
    Rich in features
  • 3
    Docker support
  • 3
    Cost
  • 3
    Best than others
  • 2
    Source control and bug tracking
  • 2
    Easy to Analyze
  • 2
    Expensive
  • 2
    Cute logo
  • 2
    Good for Startups
  • 2
    Free setup
  • 2
    Monitor almost everything
  • 2
    Automation tools
  • 2
    Simple, powerful, great for infra
  • 2
    Full visibility of applications
  • 1
    Best in the field
CONS OF DATADOG
  • 16
    Expensive
  • 3
    No errors exception tracking
  • 2
    External Network Goes Down You Wont Be Logging
  • 1
    Complicated

related Datadog posts

Robert Zuber

Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve 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

11K
8.6K
398
Open source Graphite & InfluxDB Dashboard and Graph Editor
11K
8.6K
+ 1
398
PROS OF GRAFANA
  • 84
    Beautiful
  • 67
    Graphs are interactive
  • 56
    Free
  • 55
    Easy
  • 33
    Nicer than the Graphite web interface
  • 24
    Many integrations
  • 16
    Can build dashboards
  • 10
    Easy to specify time window
  • 9
    Dashboards contain number tiles
  • 8
    Can collaborate on dashboards
  • 5
    Integration with InfluxDB
  • 5
    Click and drag to zoom in
  • 5
    Open Source
  • 4
    Authentification and users management
  • 4
    Threshold limits in graphs
  • 3
    It is open to cloud watch and many database
  • 2
    You can visualize real time data to put alerts
  • 2
    Great community support
  • 2
    Alerts
  • 2
    Simple and native support to Prometheus
  • 2
    You can use this for development to check memcache
  • 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 · | 14 upvotes · 2.9M 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’s 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’s 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
    Matt Menzenski
    Senior Software Engineering Manager at PayIt · | 13 upvotes · 84.8K views

    Grafana and Prometheus together, running on Kubernetes , is a powerful combination. These tools are cloud-native and offer a large community and easy integrations. At PayIt we're using exporting Java application metrics using a Dropwizard metrics exporter, and our Node.js services now use the prom-client npm library to serve metrics.

    See more
    New Relic logo

    New Relic

    18.6K
    6.8K
    1.9K
    New Relic is the industry’s largest and most comprehensive cloud-based observability platform.
    18.6K
    6.8K
    + 1
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    PROS OF NEW RELIC
    • 414
      Easy setup
    • 344
      Really powerful
    • 244
      Awesome visualization
    • 194
      Ease of use
    • 151
      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
    • 17
      Heroku Add-on
    • 16
      Error Detection and Alerting
    • 12
      Multiple language support
    • 11
      SQL Analysis
    • 11
      Server Resources Monitoring
    • 9
      Transaction Tracing
    • 8
      Apdex Scores
    • 8
      Azure Add-on
    • 7
      Analysis of CPU, Disk, Memory, and Network
    • 6
      Detailed reports
    • 6
      Performance of External Services
    • 6
      Error Analysis
    • 6
      Application Availability Monitoring and Alerting
    • 6
      Application Response Times
    • 5
      JVM Performance Analyzer (Java)
    • 5
      Most Time Consuming Transactions
    • 4
      Top Database Operations
    • 4
      Easy to use
    • 4
      Browser Transaction Tracing
    • 3
      Application Map
    • 3
      Pagoda Box integration
    • 3
      Custom Dashboards
    • 3
      Weekly Performance Email
    • 2
      Easy visibility
    • 2
      App Speed Index
    • 2
      Easy to setup
    • 1
      Real User Monitoring Analysis and Breakdown
    • 1
      Incident Detection and Alerting
    • 1
      Real User Monitoring Overview
    • 1
      Worst Transactions by User Dissatisfaction
    • 1
      Metric Data Resolution
    • 1
      Metric Data Retention
    • 1
      Team Collaboration Tools
    • 1
      Super Expensive
    • 1
      Time Comparisons
    • 1
      Access to Performance Data API
    • 1
      Background Jobs Transaction Analysis
    • 1
      Free
    • 1
      Best of the best, what more can you ask for
    • 1
      Best monitoring on the market
    • 1
      Rails integration
    • 0
      Exceptions
    • 0
      Ddd
    CONS OF NEW RELIC
    • 19
      Pricing model doesn't suit microservices
    • 10
      UI isn't great
    • 7
      Visualizations aren't very helpful
    • 7
      Expensive
    • 5
      Hard to understand why things in your app are breaking

    related New Relic posts

    Farzeem Diamond Jiwani
    Software Engineer at IVP · | 5 upvotes · 661.8K 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 Gębski

    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

    880
    904
    163
    An open-source distributed time series database with no external dependencies
    880
    904
    + 1
    163
    PROS OF INFLUXDB
    • 51
      Time-series data analysis
    • 28
      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
      HTTP API
    • 4
      Out-of-the-box, automatic Retention Policy
    • 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

    Hi everyone. I'm trying to create my personal syslog monitoring.

    1. To get the logs, I have uncertainty to choose the way: 1.1 Use Logstash like a TCP server. 1.2 Implement a Go TCP server.

    2. To store and plot data. 2.1 Use Elasticsearch tools. 2.2 Use InfluxDB and Grafana.

    I would like to know... Which is a cheaper and scalable solution?

    Or even if there is a better way to do it.

    See more
    Splunk logo

    Splunk

    460
    730
    11
    Search, monitor, analyze and visualize machine data
    460
    730
    + 1
    11
    PROS OF SPLUNK
    • 2
      API for searching logs, running reports
    • 1
      Query engine supports joining, aggregation, stats, etc
    • 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
      Custom log parsing as well as automatic parsing
    • 1
      Dashboarding on any log contents
    • 1
      Ability to style search results into reports
    • 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

    365
    369
    39
    A highly scalable real-time graphing system
    365
    369
    + 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 · | 14 upvotes · 2.9M 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’s 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’s 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’re looking to migrate all of these to our internal monitoring system soon).

      See more
      Zabbix logo

      Zabbix

      536
      751
      58
      Track, record, alert and visualize performance and availability of IT resources
      536
      751
      + 1
      58
      PROS OF ZABBIX
      • 16
        Free
      • 7
        Alerts
      • 5
        Service/node/network discovery
      • 4
        Base metrics from the box
      • 4
        Templates
      • 3
        Multi-dashboards
      • 3
        SMS/Email/Messenger alerts
      • 2
        Support proxies (for monitoring remote branches)
      • 2
        Supports Graphs ans screens
      • 2
        Grafana plugin available
      • 1
        Perform website checking (response time, loading, ...)
      • 1
        Supports large variety of Operating Systems
      • 1
        Supports JMX (Java, Tomcat, Jboss, ...)
      • 1
        Open source
      • 1
        API available for creating own apps
      • 1
        Templates free available (Zabbix Share)
      • 1
        Works with multiple databases
      • 1
        Advanced integrations
      • 1
        Supports multiple protocols/agents
      • 1
        Complete Logs Report
      CONS OF ZABBIX
      • 5
        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

      253
      494
      59
      Application management for the cloud generation
      253
      494
      + 1
      59
      PROS OF APPDYNAMICS
      • 18
        Deep code visibility
      • 11
        Powerful
      • 7
        Great visualization
      • 7
        Real-Time Visibility
      • 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 · 661.8K 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