Prometheus vs Datadog

by Gralio Feb 27, 2025

Prometheus and Datadog both offer robust monitoring solutions but cater to different needs. Prometheus excels in infrastructure and Kubernetes monitoring with its open-source flexibility, while Datadog provides a broader, user-friendly platform for comprehensive observability across applications, logs, and user experience.

At Gralio.ai we help to simplify your decision-making process by offering detailed, side-by-side software comparisons like this one, to help you confidently choose the tool that aligns with your business goals.

This comparison was created by analysing 838 reviews and 60 websites, saving 5 hours, 9 minutes of reading.

About

Prometheus provides a suite of tools to manage assets like equipment and infrastructure. Its focus is on large, asset-heavy industries. The platform aims to improve efficiency and safety in areas like maintenance, compliance, and operations. Prometheus integrates with existing enterprise software for a unified approach.
Datadog is a cloud-based software platform that gives you a complete view of your company's technology systems, from websites and apps to servers and databases. It helps you monitor performance, analyze data, and improve security, all in one place. Datadog is designed for companies of all sizes and is used by various teams, including IT, development, and security. It helps businesses ensure their technology runs smoothly, efficiently, and securely.

Summary

Main difference
Prometheus is a powerful open-source monitoring and alerting toolkit ideal for containerized environments and deep infrastructure monitoring, especially Kubernetes. Datadog is a comprehensive, cloud-based observability platform offering broader application performance monitoring (APM), log management, and user experience insights, suitable for diverse tech stacks and business needs.

Relative strengths of Prometheus (compared to Datadog)

  • Cost-effective open-source solution with no licensing fees.

  • Highly customizable and flexible for complex monitoring needs.

  • Excellent Kubernetes integration and container monitoring capabilities.

Relative weaknesses of Prometheus (compared to Datadog)

  • Steeper learning curve and requires more technical expertise.

  • Limited out-of-the-box integrations compared to Datadog.

  • Simpler user interface and visualization options compared to Datadog’s polished dashboards.

Who should use Prometheus VS. Datadog

Prometheus helps large asset-intensive organizations manage equipment and infrastructure. Users praise its wide range of charts and visualization tools, as well as its easy implementation, particularly for Kubernetes. However, some find its high memory consumption difficult to debug and PromQL queries complex. It's ideal for streamlining maintenance, compliance, and operations.

Datadog offers real-time insights into application and infrastructure performance, enhancing observability for cloud-focused businesses. Users praise its intuitive dashboards and seamless cloud integrations but note concerns about unpredictable costs and customer support. It's a valuable tool for teams seeking comprehensive system monitoring and performance analysis.

  • Ideal for medium to large enterprises (101+ employees), especially those with extensive physical assets.

  • Best suited for asset-heavy sectors like energy, manufacturing, and resources.

  • Ideal for technology-driven companies of all sizes, especially those with cloud infrastructure.

  • Strong fit for Software, IT & Telecommunications; suitable for various other industries.

Prometheus and Datadog features

Supported
Partially supported
Not supported
Type in the name of the feature or in your own words tell us what you need
  • Observability
    Supported

    Prometheus excels at monitoring infrastructure health and performance, offering extensive visibility.

    Supported

    Datadog monitors infrastructure health and performance providing end-to-end visibility.

  • Digital Experience Monitoring
    Not supported

    Prometheus does not directly support digital experience monitoring.

    Supported

    Datadog supports digital experience monitoring with features like RUM and synthetic monitoring.

  • Software Delivery
    Not supported

    Prometheus is primarily known for monitoring, not software delivery.

    Supported

    Datadog streamlines software development and deployment with CI/CD pipeline visibility, DORA metrics, and test optimization.

  • Real-time monitoring
    Supported

    Prometheus excels at real-time application and server monitoring.

    Supported

    Datadog supports real-time server and application performance monitoring with features like custom dashboards and alerts.

  • Customizable dashboards
    Partially supported

    Prometheus Dashboard allows customization but log data visualization is not confirmed.

    Supported

    Datadog allows creation of custom dashboards to visualize log data.

  • Cloud environment support
    Supported

    Prometheus supports monitoring cloud environments, especially Kubernetes.

    Supported

    Datadog supports monitoring applications in cloud environments, including multi-cloud setups.

Qualities

  • Value and Pricing Transparency
    No data
    No data
  • Customer Service
    No data
    No data
  • Ease of Use
    No data
    No data
  • Reliability and Performance
    No data
    No data
  • Ease of Implementation
    No data
    No data
  • Scalability
    No data
    No data
Prometheus and Datadog Pricing
No data

See full Pricing page

Datadog offers various pricing plans based on the specific product and features needed. Contact sales for custom quotes on LLM Observability and App Builder.
Plans

See full Pricing page

Prometheus and Datadog review insights

Users love

  • Wide range of charts and visualization tools.
  • Easy to expose metrics on any web app.
  • Supports webhooks and third-party software.
  • Easy to implement, especially for Kubernetes.
  • Helpful for collecting metrics and creating alerts.
  • Datadog’s intuitive dashboards make it easy to monitor systems.
  • Seamless integration with AWS and other cloud providers.
  • The vast number of integrations allows for extensive customization.
  • Real-time alerts help quickly identify and resolve issues.

Users dislike

  • High memory consumption can be difficult to debug.
  • Sharded architecture is not true sharding.
  • UI could be improved with features like Grafana.
  • PromQL queries can be complex and hard to learn.
  • Alert management and integration with different channels can be challenging.
  • Unpredictable costs make it difficult to budget for.
  • Log ingestion is very expensive.
  • Customer support can be slow and unresponsive.
  • Documentation can be out of date or difficult to find.

Prometheus and Datadog Ratings

  • G2
    4.4/5
    (51)
  • Glassdoor
    2.9/5
    (424)
  • G2
    4.3/5
    (532)
  • Capterra
    4.6/5
    (242)
  • TrustPilot
    1.9/5
    (13)
  • Glassdoor
    3.9/5
    (1186)

Company health

Employee growth

6% increase in the last year
36% increase in the last year

Web traffic

36% decrease in the last quarter
10% decrease in the last quarter

Financing

No data
February 2020 - $148M

How do Prometheus and Datadog differ in their asset management capabilities?

Prometheus focuses on asset management for large, asset-heavy industries, aiming to improve efficiency and safety in areas like maintenance and operations through integrations with existing enterprise software. Datadog, while not specifically designed for asset management, provides broad observability across IT infrastructure, including servers, databases, and applications. It doesn't directly manage physical assets but monitors the performance and health of the systems that interact with them. Therefore, Prometheus offers dedicated asset management functionalities, whereas Datadog focuses on monitoring the technology stack supporting those assets.

Which product, Prometheus or Datadog, better integrates with my existing Kubernetes setup?

Datadog is the better choice for Kubernetes integration. While Prometheus excels in Kubernetes monitoring through its operator and service discovery, Datadog provides broader integrations beyond basic metrics. Datadog's agent automatically collects Kubernetes events, logs, and traces, providing a more comprehensive view of the cluster's health and performance. This deeper integration simplifies troubleshooting and observability within the Kubernetes environment.

What are the advantages of Prometheus?

Prometheus excels at real-time monitoring and is particularly well-suited for cloud-native environments, especially Kubernetes. It offers a wide range of visualization tools and easy metric exposure for web applications. While it has some complexities regarding memory consumption and query language, its ease of implementation and robust monitoring capabilities make it advantageous for organizations focused on infrastructure and application performance.

What are the disadvantages of Prometheus?

Prometheus's disadvantages include high memory consumption that can be difficult to debug, a sharded architecture that isn't true sharding, a UI that could be improved, complex and difficult PromQL queries, and challenging alert management and integration with various channels.

Alternatives to Prometheus and Datadog

Logo of Sumo Logic
Sumo Logic
Sumo Logic is a cloud-based software that helps you understand what's happening in your company's IT systems. It collects and analyzes data from your apps, servers, and security tools to give you a clear picture of performance and potential problems. This helps you find and fix IT issues faster, strengthen your security against cyber threats, and ensure your technology runs smoothly. Sumo Logic is designed for modern, cloud-focused companies who need a scalable solution to manage their growing IT complexity.
Read more
Logo of Zabbix
prometheus vs Zabbix
Zabbix is a software tool that helps you keep an eye on your company's computers, servers, and other IT equipment. It's like a central dashboard showing you if everything is working correctly. Zabbix can alert you if something goes wrong or if performance drops, helping prevent problems and downtime. It's used by companies of all sizes and is known for being scalable, meaning it can grow with your business. Zabbix offers both cloud-based and on-premise solutions, giving you flexibility in how you manage your IT infrastructure monitoring.
Read more
Logo of New Relic
New Relic
New Relic helps you understand how your software is performing. It collects data from your websites, apps, and infrastructure, showing you what's working well and what needs attention. This lets you troubleshoot issues faster, improve customer experience, and make better decisions about your technology investments. New Relic offers a single platform and a flexible, usage-based pricing model.
Read more
Logo of SAP EAM
SAP EAM
SAP EAM is a software designed to help you manage all your assets, from factories to equipment. It provides real-time insights into how your assets are performing and helps you make better decisions about their usage and maintenance. With SAP EAM, you can reduce costs, optimize asset lifespan, and improve your return on investment. It's a comprehensive solution for businesses that rely heavily on physical assets.
Read more
Logo of Dynatrace
Dynatrace
Dynatrace helps you understand how your software is running, like a health tracker for your apps and systems. It monitors everything - websites, networks, user experience - to pinpoint problems before they impact your business. With AI-powered analysis, Dynatrace simplifies complex data, giving you clear answers and helping you automate IT tasks.
Read more
Logo of Elastic Stack
Elastic Stack
Elastic Stack is a data analysis platform that helps you understand your data better. It lets you explore relationships within your data, like finding connections between customers, products, or events. Imagine visually mapping out your data to uncover hidden patterns. You can easily search, visualize, and understand complex relationships in real-time, using dashboards and intuitive tools. Elastic Stack is useful for various tasks like fraud detection, making recommendations, and improving security.
Read more
Page co-authored by
MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

How are we doing?

Is this information helpful to you? Is there anything we are missing?
Did this help you select your product?
Other issues? Vote & Let us know