Software Alternatives, Accelerators & Startups

VisualVM VS Datadog

Compare VisualVM VS Datadog and see what are their differences

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VisualVM logo VisualVM

VisualVM is a visual tool integrating several commandline JDK tools and lightweight profiling...

Datadog logo Datadog

See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
  • VisualVM Landing page
    Landing page //
    2021-10-18
  • Datadog Landing page
    Landing page //
    2023-10-05

Datadog is a monitoring and analytics platform for cloud-scale application infrastructure. Combining metrics from servers, databases, and applications, Datadog delivers sophisticated, actionable alerts, and provides real-time visibility of your entire infrastructure. Datadog includes 100+ vendor-supported, prebuilt integrations and monitors hundreds of thousands of hosts.

VisualVM features and specs

  • Comprehensive Monitoring
    VisualVM allows developers to monitor and troubleshoot Java applications through various data points like JVM-level statistics, thread monitoring, and memory inspection.
  • Integration with JDK
    As a part of the JDK, VisualVM is easy to access and use without the need for additional installations or configurations.
  • Lightweight
    Being lightweight, VisualVM does not add significant overhead to the system and can be used effectively in development without impacting performance.
  • User-friendly Interface
    VisualVM provides an intuitive and graphical interface that makes it easier for users to analyze the performance metrics and diagnose issues.
  • Plugin Support
    VisualVM supports plugins, allowing users to extend its functionalities according to specific requirements and use cases.
  • Cross-platform
    As a Java-based tool, VisualVM can be run on any platform that supports Java, making it highly versatile.

Possible disadvantages of VisualVM

  • Limited to Java Applications
    VisualVM can only be used with Java applications, which can be a limitation for mixed-environment monitoring needs.
  • Limited Features for Enterprise
    While excellent for basic monitoring, VisualVM might lack some features and scalability needed for large enterprise-grade monitoring and performance analysis.
  • Steep Learning Curve for Advanced Features
    Despite its user-friendly interface, some advanced features and customizations can be complex and may require a steep learning curve.
  • Infrequent Updates
    The update cycle for VisualVM can be slower compared to commercial alternatives, leading to potential lag in addressing bugs or adding new features.
  • Resource Usage
    Running VisualVM for in-depth analysis on the same machine as the application it monitors could potentially affect the application’s performance due to resource consumption.

Datadog features and specs

  • Comprehensive Monitoring
    Datadog offers a wide range of monitoring capabilities including infrastructure, application performance, log management, and user experience monitoring. This provides a unified view across the entire tech stack.
  • Integration Ecosystem
    With over 400 integrations available, Datadog can easily connect with virtually any service, application, and technology stack, making it highly versatile.
  • Scalability
    Datadog is designed to scale from small startups to large enterprises, providing functionalities that cater to varied sizes and complexities of operations.
  • Real-Time Data
    The platform provides real-time data and analytics, which is crucial for diagnosing and troubleshooting issues as they arise.
  • Alerting and Notifications
    Advanced alerting and notification features allow users to set up custom alerts based on metrics, enabling proactive problem resolution.
  • User-Friendly Interface
    The user interface is intuitive and easy to navigate, even for those who are not particularly technical, making it accessible to a broader range of users.
  • Security Features
    Datadog includes various security features such as compliance tracking, threat detection, and anomaly detection, enhancing overall security posture.

Possible disadvantages of Datadog

  • Cost
    Datadog can become quite expensive, especially as the volume of monitored data and the number of integrations increases. This can be a limiting factor for smaller businesses.
  • Complexity
    With its extensive feature set, Datadog can be overwhelming for new users, requiring a steep learning curve to master all functionalities.
  • Data Retention
    The default data retention period is often shorter than what some organizations require, leading to additional costs for longer retention.
  • Performance Overhead
    The extensive data collection and monitoring capabilities can add performance overhead to the monitored systems, potentially impacting their performance.
  • Customization Limitations
    While Datadog provides extensive dashboards and visualizations, some users find the customization options to be limited compared to other monitoring solutions.
  • Support
    Some users have reported that the customer support can be slow or insufficient at times, which could be a downside when facing critical issues.

Analysis of Datadog

Overall verdict

  • Datadog is generally considered a good choice for organizations needing a comprehensive monitoring solution that provides deep insights across various aspects of their technology stack. Its scalability and integration capabilities make it appealing for businesses of all sizes, especially those leveraging cloud services.

Why this product is good

  • Datadog is a powerful monitoring and analytics platform that provides comprehensive visibility into cloud-scale applications. It's known for its robust set of features, including infrastructure monitoring, application performance management, log management, and security monitoring. Datadog's ability to integrate with a vast array of services and technologies makes it a versatile tool for organizations looking to monitor complex systems. Furthermore, its real-time dashboards and alerting capabilities help teams quickly identify and address performance issues, improving reliability and efficiency.

Recommended for

  • Organizations using multiple cloud services and wanting unified monitoring.
  • IT teams looking for a detailed application performance management solution.
  • Businesses that require scalable monitoring for dynamic environments.
  • Companies seeking robust alerting and automation capabilities for infrastructure and application management.

VisualVM videos

Java Heap Dump Analysis - VisualVM Tutorial

More videos:

  • Tutorial - OutOfMemoryError Java Heap Space Fix - Heap Dump Analysis VisualVM Tutorial

Datadog videos

Datadog Review & Walkthrough

More videos:

  • Review - DataDog: What it is and where its going
  • Review - Datadog: 2-Minute Tour

Category Popularity

0-100% (relative to VisualVM and Datadog)
Software Development
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Resource Profiling And Monitoring
Log Management
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare VisualVM and Datadog

VisualVM Reviews

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Datadog Reviews

The 10 Best Nagios Alternatives in 2024 (Paid and Open-source)
10 Best Datadog Alternatives to Consider in 2023 Datadog is one of the most potent and versatile players on the market, but they have their fair share of downsides. The monitoring and observability space is quite competitive, so we will discuss 10 of the best Datadog alternatives and compare their pros and cons to determine which is better suited for your needs.
Source: betterstack.com
Top 10 Grafana Alternatives in 2024
While all Grafana alternatives do not offer pricing transparency, go for a flexible pricing structure that fits your budget. Tools like Datadog offer pricing based on data volume or monitoring scope, while Middleware offers a flexible pay-as-you-go pricing structure.
Source: middleware.io
Top 11 Grafana Alternatives & Competitors [2024]
Open Source vs. Proprietary: Determine whether an open-source solution like SigNoz or a proprietary one like Datadog better aligns with your requirements and budget. Open-source tools often offer more customization and community support, while proprietary tools may provide more comprehensive out-of-the-box features and dedicated customer service. At SigNoz, we offer both...
Source: signoz.io
10 Best Grafana Alternatives [2023 Comparison]
Datadog is a massive tool that offers a lot of features and solutions, including log management. But before we dive too deep, please note that Datadog is expensive. It absolutely is not for anyone other than large-budgeted corporations. Just take a look at what people are saying on X.
Source: sematext.com
5 Best DevSecOps Tools in 2023
There are many platforms that can be utilized for monitoring and alerting. Some examples are New Relic, Datadog, AWS CloudWatch, Sentry, Dynatrace, and others. Again, these providers each have pros and cons related to pricing, offering, ad vendor lock-in. So research the options to see what may possibly be best for a given situation.

Social recommendations and mentions

Based on our record, VisualVM should be more popular than Datadog. It has been mentiond 23 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

VisualVM mentions (23)

  • Streaming data from RDBMS with jooq
    For the purposes of this demo, let’s simply count the number of retrieved rows. The Thread.sleep() is included to give me time to open VisualVM and check the metrics:. - Source: dev.to / almost 4 years ago
  • How to Monitor SQL Performance in Spring Boot
    To track query-level metrics, check out the Hibernate Statistics section. Profiling tools like YourKit or VisualVM can help you analyze key metrics such as:. - Source: dev.to / 6 months ago
  • Can java collection be fixed?
    If you're curious, attach VisualVM and watch the RAM usage graph. You'll notice that Java performs garbage collections long before reaching allocating the maximum amount of RAM allocated, and you can't even feel any performance issue in-game. Source: about 2 years ago
  • Items won't drop when either mined or dropped from inventory and new chunks won't load.
    Hangs and deadlocks are significantly harder to debug. A first step is taking a thread dump so you can see what each thread in the JVM is currently trying to do. I like VisualVM for this, you can also use the command-line tools jps -l (to list all Java PIDs) and jstack for taking a thread dump. Source: about 2 years ago
  • Top metrics for Elasticsearch monitoring with Prometheus
    The Java VisualVM project is an advanced dashboard for Memory and CPU monitoring. It features advanced resource visualization, as well as process and thread utilization. - Source: dev.to / about 2 years ago
View more

Datadog mentions (5)

  • Send the logs of your Shuttle-powered backend to Datadog
    Ideally, if we had access to the underlying infrastructure, we could probably install the Datadog Agent and configure it to send our logs directly to Datadog, or even use AWS Lambda functions or Azure Event Hub + Azure Functions in case we were facing some specific cloud scenarios. - Source: dev.to / over 1 year ago
  • I wanted a self hosted alternative to Atlassian status page so I build my own application !
    Currently supported : Datadog, Jenkins, DNS, HTTP. Source: over 2 years ago
  • Datadog on Kubernetes: Avoiding Common Pitfalls
    Datadog is a powerful monitoring and security platform that gives you visibility into end-to-end traces, application metrics, logs, and infrastructure. While Datadog has great documentation on their Kubernetes integration, we've observed that there's some missed nuance that leads to common pitfalls. - Source: dev.to / almost 4 years ago
  • Post-DockerCon spam
    .. Is to see you email address being silently distributed to every single company that I've watched a talk from. And now suddenly get several promotional spam emails per day from some 4-5 different domains like instana.com, datadoghq.com, snyk.io, cockroachlabs.com (some of them send even multiple emails per day!). Source: about 4 years ago
  • Never write a UserService again
    We're commonly doing this with logging, using services such as Loggly or DataDog. We're using managed databases, be it on AWS, Heroku or database-vendor-specific solutions. We're storing binaries on S3. Externalising user authentication and authorization might be a good candidate as well. - Source: dev.to / about 4 years ago

What are some alternatives?

When comparing VisualVM and Datadog, you can also consider the following products

Eclipse Memory Analyzer - The Eclipse Foundation - home to a global community, the Eclipse IDE, Jakarta EE and over 350 open source projects, including runtimes, tools and frameworks.

Zabbix - Track, record, alert and visualize performance and availability of IT resources

Robot Console - Robot Console is a Message and Event Monitoring Software for IBM i thathas automatic message management, resource monitoring, and log monitoring.

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!

JConsole - Provides information about performance and resource consumption for Java applications.

NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.