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 an open-source monitoring and alerting toolkit designed for reliability and scalability of systems. It enables users to collect metrics from diverse sources, store them efficiently, and allow for querying and creating alerts based on those metrics. However, one limitation of Prometheus is its lack of long-term storage capabilities, which can be challenging for historical data analysis.

  1. Grafana: Grafana is a leading open-source visualization tool that can be integrated with various data sources including Prometheus. Key features include customizable dashboards, alerting, and extensive plugin support. Pros include a user-friendly interface and a wide community support, while cons involve a steeper learning curve compared to other tools.
  2. InfluxDB: InfluxDB is a time-series database that can be used as a data source for monitoring systems. It offers efficient data ingestion, query language, and horizontal scalability. Pros include easy integration with Grafana and Telegraf, while cons involve limitations in clustering capabilities.
  3. Prometheus Operator: Prometheus Operator is a Kubernetes native tool that simplifies the deployment and management of Prometheus instances on Kubernetes clusters. Key features include automatic configuration and scaling, but it may require expertise in Kubernetes for setup and maintenance.
  4. Zabbix: Zabbix is a mature monitoring solution that offers features such as auto-discovery, real-time monitoring, and rich visualization options. Pros include high scalability and a wide range of out-of-the-box monitoring capabilities, while cons involve a complex setup process.
  5. Thanos: Thanos is a platform designed to expand Prometheus capabilities for long-term storage and high availability. It offers features like global querying, compaction, and data deduplication. Pros include seamless integration with existing Prometheus setups, but cons involve potential complexity in configuring the setup.
  6. Netdata: Netdata is a real-time monitoring, troubleshooting, and alerting tool that provides insights into system performance. Key features include a user-friendly interface, extensive metrics collection, and easy installation. Pros include a vast array of integrations and an active community, while cons involve potential resource usage on monitored systems.
  7. Elasticsearch with Beats: Elasticsearch, combined with Beats for data shipping, can be used for log monitoring and analysis similar to Prometheus for metrics. It offers scalability, advanced search capabilities, and a wide range of integrations. Pros include rich data visualization options with Kibana, while cons involve potential complexity in configuration.
  8. Sysdig: Sysdig offers a monitoring and security platform for containers and cloud-native applications. It features real-time visibility, troubleshooting capabilities, and security monitoring. Pros include comprehensive container monitoring features, while cons involve a higher cost compared to other tools.
  9. New Relic: New Relic is a cloud-based observability platform that provides end-to-end visibility into application performance and infrastructure. Key features include application monitoring, infrastructure monitoring, and real-user monitoring. Pros include easy setup and a wide array of integrations, while cons involve potential cost implications for larger setups.
  10. OpenTelemetry: OpenTelemetry is an open-source observability framework that allows for collecting telemetry data from applications, microservices, and infrastructure. It offers flexibility in integrations, support for various languages, and community-driven development. Pros include vendor-neutral standards and easy instrumentation, while cons involve potential complexity in setting up the entire stack.

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

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Unify logs, metrics, and traces from across your distributed infrastructure.
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PROS OF DATADOG
  • 137
    Monitoring for many apps (databases, web servers, etc)
  • 107
    Easy setup
  • 87
    Powerful ui
  • 83
    Powerful integrations
  • 70
    Great value
  • 54
    Great visualization
  • 46
    Events + metrics = clarity
  • 41
    Custom metrics
  • 41
    Notifications
  • 39
    Flexibility
  • 19
    Free & paid plans
  • 16
    Great customer support
  • 15
    Makes my life easier
  • 10
    Adapts automatically as i scale up
  • 9
    Easy setup and plugins
  • 8
    Super easy and powerful
  • 7
    AWS support
  • 7
    In-context collaboration
  • 6
    Rich in features
  • 5
    Docker support
  • 4
    Cost
  • 4
    Source control and bug tracking
  • 4
    Automation tools
  • 4
    Cute logo
  • 4
    Monitor almost everything
  • 4
    Full visibility of applications
  • 4
    Simple, powerful, great for infra
  • 4
    Easy to Analyze
  • 4
    Best than others
  • 3
    Expensive
  • 3
    Best in the field
  • 3
    Free setup
  • 3
    Good for Startups
  • 2
    APM
CONS OF DATADOG
  • 19
    Expensive
  • 4
    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
Farzeem Diamond Jiwani
Software Engineer at IVP · | 8 upvotes · 1.4M 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
Grafana logo

Grafana

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Open source Graphite & InfluxDB Dashboard and Graph Editor
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PROS OF GRAFANA
  • 89
    Beautiful
  • 68
    Graphs are interactive
  • 57
    Free
  • 56
    Easy
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    Nicer than the Graphite web interface
  • 26
    Many integrations
  • 18
    Can build dashboards
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    Easy to specify time window
  • 10
    Can collaborate on dashboards
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    Dashboards contain number tiles
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    Open Source
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    Integration with InfluxDB
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    Click and drag to zoom in
  • 4
    Authentification and users management
  • 4
    Threshold limits in graphs
  • 3
    Alerts
  • 3
    It is open to cloud watch and many database
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    Simple and native support to Prometheus
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    Great community support
  • 2
    You can use this for development to check memcache
  • 2
    You can visualize real time data to put alerts
  • 0
    Grapsh as code
  • 0
    Plugin visualizationa
CONS OF GRAFANA
  • 1
    No interactive query builder

related Grafana posts

Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 15 upvotes · 4.5M 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 · | 15 upvotes · 991.6K 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

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New Relic is the industry’s largest and most comprehensive cloud-based observability platform.
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PROS OF NEW RELIC
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    Easy setup
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    Really powerful
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    Awesome visualization
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    Ease of use
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    Great ui
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    Free tier
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    Great tool for insights
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    Heroku Integration
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    Market leader
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    Peace of mind
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    Push notifications
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    Email notifications
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    Heroku Add-on
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    Error Detection and Alerting
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    Multiple language support
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    Server Resources Monitoring
  • 11
    SQL Analysis
  • 9
    Transaction Tracing
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    Azure Add-on
  • 8
    Apdex Scores
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    Detailed reports
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    Analysis of CPU, Disk, Memory, and Network
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    Application Response Times
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    Performance of External Services
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    Application Availability Monitoring and Alerting
  • 6
    Error Analysis
  • 5
    JVM Performance Analyzer (Java)
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    Most Time Consuming Transactions
  • 4
    Top Database Operations
  • 4
    Easy to use
  • 4
    Browser Transaction Tracing
  • 3
    Application Map
  • 3
    Weekly Performance Email
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    Custom Dashboards
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    Pagoda Box integration
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    App Speed Index
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    Easy to setup
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    Background Jobs Transaction Analysis
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    Time Comparisons
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    Access to Performance Data API
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    Super Expensive
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    Team Collaboration Tools
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    Metric Data Retention
  • 1
    Metric Data Resolution
  • 1
    Worst Transactions by User Dissatisfaction
  • 1
    Real User Monitoring Overview
  • 1
    Real User Monitoring Analysis and Breakdown
  • 1
    Free
  • 1
    Best of the best, what more can you ask for
  • 1
    Best monitoring on the market
  • 1
    Rails integration
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    Incident Detection and Alerting
  • 0
    Cost
  • 0
    Exceptions
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    Price
  • 0
    Proce
CONS OF NEW RELIC
  • 20
    Pricing model doesn't suit microservices
  • 10
    UI isn't great
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    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 · | 8 upvotes · 1.4M 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
Jerome Dalbert
Principal Backend Software Engineer at StackShare · | 5 upvotes · 289.6K views

We currently monitor performance with the following tools:

  1. Heroku Metrics: our main app is Hosted on Heroku, so it is the best place to get quick server metrics like memory usage, load averages, or response times.
  2. Good old New Relic for detailed general metrics, including transaction times.
  3. Skylight for more specific Rails Controller#action transaction times. Navigating those timings is much better than with New Relic, as you get a clear full breakdown of everything that happens for a given request.

Skylight offers better Rails performance insights, so why use New Relic? Because it does frontend monitoring, while Skylight doesn't. Now that we have a separate frontend app though, our frontend engineers are looking into more specialized frontend monitoring solutions.

Finally, if one of our apps go down, Pingdom alerts us on Slack and texts some of us.

See more
InfluxDB logo

InfluxDB

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An open-source distributed time series database with no external dependencies
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PROS OF INFLUXDB
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    Time-series data analysis
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    Easy setup, no dependencies
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    Fast, scalable & open source
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    Open source
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    Real-time analytics
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    Continuous Query support
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    Easy Query Language
  • 4
    HTTP API
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    Out-of-the-box, automatic Retention Policy
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    Offers Enterprise version
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    Free Open Source version
CONS OF INFLUXDB
  • 4
    Instability
  • 1
    Proprietary query language
  • 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.

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Splunk logo

Splunk

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Search, monitor, analyze and visualize machine data
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PROS OF SPLUNK
  • 3
    API for searching logs, running reports
  • 3
    Alert system based on custom query results
  • 2
    Dashboarding on any log contents
  • 2
    Custom log parsing as well as automatic parsing
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    Ability to style search results into reports
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    Query engine supports joining, aggregation, stats, etc
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    Splunk language supports string, date manip, math, etc
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    Rich GUI for searching live logs
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    Query any log as key-value pairs
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    Granular scheduling and time window support
CONS OF SPLUNK
  • 1
    Splunk query language rich so lots to learn

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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
Shared insights
on
SplunkSplunkElasticsearchElasticsearch

We are currently exploring Elasticsearch and Splunk for our centralized logging solution. I need some feedback about these two tools. We expect our logs in the range of upwards > of 10TB of logging data.

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Graphite logo

Graphite

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A highly scalable real-time graphing system
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PROS OF GRAPHITE
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    Render any graph
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    Great functions to apply on timeseries
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    Well supported integrations
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    Includes event tracking
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    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 · | 15 upvotes · 4.5M 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

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    Track, record, alert and visualize performance and availability of IT resources
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    PROS OF ZABBIX
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      Free
    • 9
      Alerts
    • 5
      Service/node/network discovery
    • 5
      Templates
    • 4
      Base metrics from the box
    • 3
      Multi-dashboards
    • 3
      SMS/Email/Messenger alerts
    • 2
      Grafana plugin available
    • 2
      Supports Graphs ans screens
    • 2
      Support proxies (for monitoring remote branches)
    • 1
      Perform website checking (response time, loading, ...)
    • 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
    • 1
      Open source
    • 1
      Supports large variety of Operating Systems
    • 1
      Supports JMX (Java, Tomcat, Jboss, ...)
    CONS OF ZABBIX
    • 5
      The UI is in PHP
    • 2
      Puppet module is sluggish

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    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!

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    Shared insights
    on
    ZabbixZabbixCheckmkCheckmk

    I am looking for an easy to set up and use monitoring solution for my servers and network infrastructure. What are the main differences between Checkmk and Zabbix? What would you recommend and why?

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    AppDynamics logo

    AppDynamics

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    Application management for the cloud generation
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    PROS OF APPDYNAMICS
    • 21
      Deep code visibility
    • 13
      Powerful
    • 8
      Real-Time Visibility
    • 7
      Great visualization
    • 6
      Easy Setup
    • 6
      Comprehensive Coverage of Programming Languages
    • 4
      Deep DB Troubleshooting
    • 3
      Excellent Customer Support
    CONS OF APPDYNAMICS
    • 5
      Expensive
    • 2
      Poor to non-existent integration with aws services

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    Farzeem Diamond Jiwani
    Software Engineer at IVP · | 8 upvotes · 1.4M 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

    We are evaluating an APM tool and would like to select between AppDynamics or Datadog. Our applications are largely hosted on Microsoft Azure but we would keep the option to move to AWS or Google Cloud Platform in the future.

    In addition to core Azure services, we will be hosting other components - including MongoDB, Keycloak, PagerDuty, etc. Our applications are largely C# and React-based using frontend for Backend patterns and Azure API gateway. In addition, there are close to 50+ external services integrated using both REST and SOAP.

    See more