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Grafana Labs Logo
12,845 views|8,858 comparisons
86% willing to recommend
Monte Carlo Logo
78 views|67 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Grafana and Monte Carlo based on real PeerSpot user reviews.

Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability.
To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: April 2024).
769,479 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It integrates well with other solutions.""The most valuable thing was that it had a good visualization tool.""Grafana is able to connect with multiple data sources, unlike Elasticsearch.""It gives us the visibility we need. I like that when we add deployment markers or release markers, we know exactly when an issue arises. For instance, if there is an increased usage of CPU, we can link it directly to the deployment that might have caused the issue. It increases productivity and observability. We can now easily tell when a certain issue arises. It's way easier to debug because it can point you to certain things based on these markers, and we can debug easier.""Grafana is a very scalable product. It's a really good product.""The most valuable feature of the solution is the UI dashboard because we need to create a dashboard on Grafana to monitor our data.""The comparison feature is very good.""Provides good dashboard visualization."

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"It makes organizing work easier based on its relevance to specific projects and teams."

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Cons
"There are some areas of network drives that are not showing as expected based on server usage.""There is room for improvement when using multiple dashboards because they can become complicated to keep track of and use.""Setting up alerts via Grafana is a bit complicated, and alerting needs to improve.""The documentation or training provided by Grafana is limited compared to its competitors, like Splunk.""It would be helpful if they simplified the data source.""Lacks event management which affects our DevOps people.""I had issues with the solution's configuration part.""We need different kinds of applications in our infrastructure to see information in Grafana."

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"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."

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Pricing and Cost Advice
  • "​Grafana is free and open source.​"
  • "I use the open source model so it is free."
  • "My company uses the open-source version of Grafana, so it's free."
  • "We use the open-source version of Grafana."
  • "We are using the open-source license."
  • "I give the price an eight out of ten."
  • "You need to purchase the solution's license for its commercial use."
  • "The solution is expensive."
  • More Grafana Pricing and Cost Advice →

  • "The product has moderate pricing."
  • More Monte Carlo Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The product's initial setup phase was very easy.
    Top Answer:For me, Grafana is a cheap tool because I don't have to spend much time learning the product since it is a simple solution. I don't know if there are different paid versions of the product.
    Top Answer:I have a problem with Grafana in the area of documentation. There is a problem in the area of some graphs where you connect elements. With Grafana, there is only one name that can be included for ten… more »
    Top Answer:It makes organizing work easier based on its relevance to specific projects and teams.
    Top Answer:For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history. This feature needs improvement. Its price could be a bit… more »
    Ranking
    Views
    12,845
    Comparisons
    8,858
    Reviews
    36
    Average Words per Review
    387
    Rating
    7.9
    1st
    out of 11 in Data Observability
    Views
    78
    Comparisons
    67
    Reviews
    1
    Average Words per Review
    342
    Rating
    9.0
    Comparisons
    New Relic logo
    Compared 15% of the time.
    Azure Monitor logo
    Compared 13% of the time.
    Sentry logo
    Compared 12% of the time.
    Dynatrace logo
    Compared 10% of the time.
    Elastic Observability logo
    Compared 8% of the time.
    Datadog logo
    Compared 44% of the time.
    Splunk APM logo
    Compared 14% of the time.
    Dynatrace logo
    Compared 10% of the time.
    Acceldata logo
    Compared 10% of the time.
    Unravel Data logo
    Compared 6% of the time.
    Learn More
    Grafana Labs
    Video Not Available
    Overview

    Grafana is an open-source visualization and analytics platform that stands out in the field of monitoring solutions. Grafana is widely recognized for its powerful, easy-to-set-up dashboards and visualizations. Grafana supports integration with a wide array of data sources and tools, including Prometheus, InfluxDB, MySQL, Splunk, and Elasticsearch, enhancing its versatility. Grafana has open-source and cloud options; the open-source version is a good choice for organizations with the resources to manage their infrastructure and want more control over their deployment. The cloud service is a good choice if you want a fully managed solution that is easy to start with and scale.

    A key strength of Grafana lies in its ability to explore, visualize, query, and alert on the collected data through operational dashboards. These dashboards are highly customizable and visually appealing, making them a valuable asset for data analysis, performance tracking, trend spotting, and detecting irregularities.

    Grafana provides both an open-source solution with an active community and Grafana Cloud, a fully managed and composable observability offering that packages together metrics, logs, and traces with Grafana. The open-source version is licensed under the Affero General Public License version 3.0 (AGPLv3), being free and unlimited. Grafana Cloud and Grafana Enterprise are available for more advanced needs, catering to a wider range of organizational requirements. Grafana offers options for self-managed backend systems or fully managed services via Grafana Cloud. Grafana Cloud extends observability with a wide range of solutions for infrastructure monitoring, IRM, load testing, Kubernetes monitoring, continuous profiling, frontend observability, and more.

    The Grafana users we interviewed generally appreciate Grafana's ability to connect with various data sources, its straightforward usability, and its integration capabilities, especially in developer-oriented environments. The platform is noted for its practical alert configurations, ticketing backend integration, and as a powerful tool for developing dashboards. However, some users find a learning curve in the initial setup and mention the need for time investment to customize and leverage Grafana effectively. There are also calls for clearer documentation and simplification of notification alert templates.

    In summary, Grafana is a comprehensive solution for data visualization and monitoring, widely used across industries for its versatility, ease of use, and extensive integration options. It suits organizations seeking a customizable and scalable platform for visualizing time-series data from diverse sources. However, users should be prepared for some complexity in setup and customization and may need to invest time in learning and tailoring the system to their specific needs.

    Stop wasting time on data fire-drills. Stop trying to hack band-aid solutions. Stop paying for outdated data governance software. With Monte Carlo, data teams are the first to know about and resolve data problems, leading to stronger data teams and insights that deliver true business value.
    You invest so much in your data infrastructure – you simply can’t afford to settle for unreliable data. At Monte Carlo, we believe in the power of data, and in a world where you sleep soundly at night knowing you have full trust in your data.

    Sample Customers
    Microsoft, Adobe, Optum, Sky, Nvidia, Roblox, Wells Fargo, BlackRock, Informatica, Maersk, Daimler Truck, SNCF, Atlassian, DHL, SAP, JPMorgan Chase, Cisco, Citi and many others.
    Information Not Available
    Top Industries
    REVIEWERS
    Retailer21%
    Computer Software Company21%
    Comms Service Provider14%
    Financial Services Firm14%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company14%
    Manufacturing Company10%
    Retailer6%
    VISITORS READING REVIEWS
    Computer Software Company25%
    Manufacturing Company12%
    University8%
    Real Estate/Law Firm8%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise19%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business29%
    Midsize Enterprise7%
    Large Enterprise64%
    Buyer's Guide
    Application Performance Monitoring (APM) and Observability
    April 2024
    Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability. Updated: April 2024.
    769,479 professionals have used our research since 2012.

    Grafana is ranked 6th in Application Performance Monitoring (APM) and Observability with 38 reviews while Monte Carlo is ranked 1st in Data Observability with 1 review. Grafana is rated 8.0, while Monte Carlo is rated 9.0. The top reviewer of Grafana writes "Agent-free with great dashboards and an active community". On the other hand, the top reviewer of Monte Carlo writes "Provides centralized data observability features and has an easy-to-use user interface. ". Grafana is most compared with New Relic, Azure Monitor, Sentry, Dynatrace and Elastic Observability, whereas Monte Carlo is most compared with Datadog, Splunk APM, Dynatrace, Acceldata and Unravel Data.

    We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.