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Datadog VS collectd

Compare Datadog VS collectd and see what are their differences

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.

collectd logo collectd

System and applications metrics collector
  • 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.

  • collectd Landing page
    Landing page //
    2018-12-17

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.

collectd features and specs

  • Lightweight
    collectd is designed to be a lightweight system statistics collection service, consuming minimal system resources while providing detailed metrics data.
  • Extensibility
    collectd supports a wide range of plugins that allow for extensive customization and the ability to gather metrics from various sources, such as network interfaces, CPU usage, and disk performance.
  • High Performance
    collectd is capable of collecting and transferring a large number of metrics with very low overhead, making it suitable for performance-critical environments.
  • Open Source
    As an open-source project, collectd benefits from continuous contributions from the community, ensuring it remains up-to-date with the latest technology and requirements.
  • Wide Ecosystem
    collectd integrates well with various data visualization and storage systems such as InfluxDB, Grafana, and Prometheus, allowing for seamless data analysis and visualization.

Possible disadvantages of collectd

  • Complex Configuration
    Setting up and configuring collectd can be complex, especially for new users, due to the extensive configuration options and the need for understanding its plugin architecture.
  • Limited Documentation
    While collectd has some documentation available, it can sometimes be insufficient or challenging to navigate, which might hinder effective troubleshooting or advanced usage.
  • Plugin Stability
    Not all collectd plugins are equally maintained, leading to potential stability issues, particularly if using less popular or outdated plugins.
  • Lack of Built-in Alerting
    collectd focuses on data collection and does not include built-in alerting capabilities, requiring additional tools and integration to set up a comprehensive monitoring solution.
  • Steep Learning Curve
    Due to its broad capabilities and the need for custom configuration, new users may experience a steep learning curve when first adopting collectd.

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.

Datadog videos

Datadog Review & Walkthrough

More videos:

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

collectd videos

How To Install and Configure ‘Collectd’ and ‘Collectd Web’ To Monitor Server Resources on ubuntu 16

Category Popularity

0-100% (relative to Datadog and collectd)
Monitoring Tools
98 98%
2% 2
Log Management
97 97%
3% 3
Performance Monitoring
Website Monitoring
100 100%
0% 0

User comments

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Reviews

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

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.

collectd Reviews

We have no reviews of collectd yet.
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Social recommendations and mentions

collectd might be a bit more popular than Datadog. We know about 6 links to it since March 2021 and only 5 links to Datadog. 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.

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: almost 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

collectd mentions (6)

  • μMon: Stupid simple monitoring
    Https://collectd.org/ does the gathering (and writing to RRDTool database, if you so desire) part very well. Many plugins, easy to add more (just return one line of text) Still need RRD viewere but that's not a huge stack And it scales all the way to hundreds of hosts, as on top of network send/receive of stats it supports few other write formats aside from just RRD files. - Source: Hacker News / over 1 year ago
  • μMon: Stupid simple monitoring
    Why not use https://collectd.org/ which is in C and used by openwrt's luci already along with rrdtool, small in size, low on resource, and has so many plugins already? - Source: Hacker News / over 1 year ago
  • Post Mortem on Mastodon Outage with 30k users
    Then you will have same problems but now you can bother manufacturer about it! Also unless there is something horribly wrong about how often data is written, that SSD should run for ages. We ran (for a test) consumer SSDs in busy ES cluster and they still lasted like 2 years just fine The whole setup was a bit of overcomplicated too. RAID10 with 5+1 or 7+1 (yes Linux can do 7 drive RAID10) with hotspare woud've... - Source: Hacker News / over 2 years ago
  • IT Pro Tuesday #217 - Python Frameworks, Logging Tutorial, Android Terminal & More
    Collectd pulls metrics from the OS, applications, logfiles and external devices for use in monitoring systems, finding performance bottlenecks and capacity planning. Hombre_sabio explains, "Collectd is a tiny daemon that gathers information from a system. It enables mechanisms to collect and observe the values in different techniques. It is an open-source monitoring tool to retrieve and manage SNMP master agents.". Source: over 2 years ago
  • CPU Performance of a docker minecraft java server on Raspberry Pi 4
    For metrics storage I'm using a Graphite database and the graph UI itself is Grafana. To get these I'm using the Debian repos they supply with mostly off-the-shelf configs. For collecting metrics from the Pi to send to Graphite I use collectd. It has a lot of off-the-shelf plugins you can use to grab metrics like CPU usage & load average, network in/out, memory stats etc. The Minecraft-specific stuff you can get... Source: over 3 years ago
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What are some alternatives?

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

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

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

Telegraf - Telegraf is the Agent for Collecting & Reporting Metrics & Data.

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.

Fluent Bit - Data collector and log forwarder

AppDynamics - Get real-time insight from your apps using Application Performance Management—how they’re being used, how they’re performing, where they need help.