Software Alternatives, Accelerators & Startups

Datadog VS Thonny

Compare Datadog VS Thonny 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.

Thonny logo Thonny

Python IDE for beginners
  • 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.

  • Thonny Landing page
    Landing page //
    2023-07-15

Datadog

$ Details
freemium $15.0 / Monthly (per host)
Platforms
Browser REST API

Thonny

Website
thonny.org
Pricing URL
-
$ Details
Platforms
-

Datadog videos

Datadog Review & Walkthrough

More videos:

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

Thonny videos

Thonny - a Python IDE for beginners

More videos:

  • Review - Step Through Python Scripts With Thonny
  • Review - Introducing Thonny

Category Popularity

0-100% (relative to Datadog and Thonny)
Monitoring Tools
100 100%
0% 0
Text Editors
0 0%
100% 100
Log Management
100 100%
0% 0
IDE
0 0%
100% 100

User comments

Share your experience with using Datadog and Thonny. For example, how are they different and which one is better?
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Reviews

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

Datadog Reviews

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.
Best API Monitoring and Observability Tools in 2023
Datadog’s API monitoring lets you automate site availability monitoring and reduce average time it takes to get to the cause. It also allows you to validate all the layers of your systems (from HTTP to DNS) from multiple geolocations, letting you focus on areas that are vital to your business by creating custom locations.
Source: apitoolkit.io

Thonny Reviews

  1. I like Thonny

    I started an on-line python course that used Pycharm as its basis. I had previously used Thonny to look at code for various programs. I found Pycharm to be over-featured for a beginner like me. Thonny seems much more on my level so I am continuing the course using it instead. And successfully I might add.

Social recommendations and mentions

Based on our record, Thonny seems to be a lot more popular than Datadog. While we know about 108 links to Thonny, we've tracked only 5 mentions of 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 / 9 months 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 1 year 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 3 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 3 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 / over 3 years ago

Thonny mentions (108)

  • FeedMyFurBabies – Send and Receive MQTT messages between AWS IoT Core and your micro-controller
    Install Thonny and run it. Then go to Tools -> Options, to configure the ESP32C3 device in Thonny to match the settings shown in the screenshot below. - Source: dev.to / 5 months ago
  • Raspberry Pico Badger: Hardware Features and OS
    The recommended way to programm MicroPython on the Raspberry Pico is to use the Thonny IDE. Accessing the Badger with reveals the following file structure:. - Source: dev.to / 6 months ago
  • Abstract Classes in Python
    Personally, I like to debug and step through code to see where I went wrong so I'm going to paste the code into my Thonny IDE. I like Thonny for small code challenges like this because it doesn't require setting up a whole project just to run and step through code. - Source: dev.to / 7 months ago
  • Ask HN: Do you know any good coding platform for education?
    Thonny is designed speciffically for that purpose https://thonny.org . For beginners the main advantage is the easier install and maintainance, and the less intimidating/cluttered environment. IMHO it makes some decent tradeoffs, and it is an onramp for students evolving to VSCode or PyCharm when they feel ready. - Source: Hacker News / 8 months ago
  • Macropad with KMK
    I use the serial console with a tool like Thonny to debug KMK/CircuitPython code on my device. Running something like import main; main.keyboard.go() usually prints a useful error message. Source: about 1 year ago
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What are some alternatives?

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

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

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

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

IDLE - Default IDE which come installed with the Python programming language.

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.

Spyder - The Scientific Python Development Environment