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osquery VS Datadog

Compare osquery VS Datadog and see what are their differences

osquery logo osquery

Utilities, Application Utilities, and Desktop Querying Tools

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.
  • osquery Landing page
    Landing page //
    2021-08-21
  • 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.

osquery features and specs

  • Cross-Platform Support
    Osquery is designed to work on multiple operating systems, including Windows, macOS, and Linux, allowing consistent querying across different environments.
  • SQL-based Query Language
    Allows users to leverage SQL, a familiar and widely-used language, to query and analyze the state of the system like a database.
  • Open Source
    Being an open-source tool, osquery is freely available for modification and distribution, encouraging community collaboration and contributions.
  • Real-time Monitoring
    Supports event-based monitoring, providing the ability to track changes and detect unusual activities as they happen with the osqueryd daemon.
  • Extensibility
    Users can extend osquery with custom plugins and tables, allowing it to meet unique requirements and integrate with other tools.
  • Security Auditing
    Helps in performing security audits by providing insights into system-level activities and configurations, assisting in detecting potential vulnerabilities.

Possible disadvantages of osquery

  • Steep Learning Curve
    Users not familiar with SQL may find it challenging to write effective queries, requiring additional learning and training.
  • Resource Consumption
    Real-time monitoring and complex queries can lead to increased CPU and memory usage, affecting system performance.
  • Limited GUI/UX
    Osquery lacks a native graphical user interface, which may make management and visualization of data more cumbersome for some users.
  • Complex Configuration
    Setting up and configuring osquery, especially for larger environments, can be complex and time-consuming, often requiring manual intervention.
  • Potential Security Risks
    If not properly secured, osquery can be misused by adversaries to gather information about the system, making it crucial to implement proper access controls.

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.

osquery videos

Kolide & OSQuery: How to Build Solid Queries and Packs for Detection and Threat Hunting

More videos:

  • Review - Using osquery & MITRE ATT&CK to Provide Analytics for Incident Response and Threat Hunting
  • Review - How Stripe is actioning the osquery API at scale [osquery@scale]

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 osquery and Datadog)
Security & Privacy
100 100%
0% 0
Monitoring Tools
1 1%
99% 99
Log Management
0 0%
100% 100
Cyber Security
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 osquery and Datadog

osquery Reviews

We have no reviews of osquery yet.
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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, osquery should be more popular than Datadog. It has been mentiond 19 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.

osquery mentions (19)

  • Fastly and the Linux kernel
    The open source projects Fastly uses and the foundations we partner with are vital to Fastly’s mission and success. Here's an unscientific list of projects and organizations supported by the Linux Foundation that we use and love include: The Linux Kernel, Kubernetes, containerd, eBPF, Falco, OpenAPI Initiative, ESLint, Express, Fastify, Lodash, Mocha, Node.js, Prometheus, Jenkins, OpenTelemetry, Envoy, etcd, Helm,... - Source: dev.to / 11 months ago
  • Show HN: Natural Language to SQL "Text-to-SQL" API by Dataherald
    The largest we have successfully deployed is on the OSQuery schema https://osquery.io/ which is 277 tables and lots of business context (malwares, vulnerabilities, Windows registry keys, etc). - Source: Hacker News / about 1 year ago
  • Alternative to Endpoint Protector?
    From a self hosted standpoint OSQuery or Wazuh are your best bets for monitoring USB devices. Windows makes blocking really challenging and I’m not aware of any “free” solutions that attempt it. Source: almost 2 years ago
  • Firewall rules beyond "deny incoming, enable only the ports that you need"
    Configure auditd to monitor host activity: https://izyknows.medium.com/linux-auditd-for-threat-detection-d06c8b941505 or osquery: https://osquery.io/ (or similar software: filebeat for example). Source: about 2 years ago
  • Best Websites For Coders
    OS Query : Easily ask questions about your Linux, Windows, and macOS infrastructure. - Source: dev.to / over 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: 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

What are some alternatives?

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

Tripwire - Open Source Tripwire software is a security and data integrity tool useful for monitoring and...

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

Ossec - OSSEC is an Open Source Host-based Intrusion Detection System.

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

Samhain - The Samhain host-based intrusion detection system (HIDS) provides file integrity checking and log...

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.