Datadog

What differentiates Datadog from other similar products?

Data dog delivers a great platform for data visualization and AI driven incident management for better productivity and effectiveness. It track and monitors the systems and applications performance and identifies issues and errors to ensure consistent service reliability. Cloud based platform for easy onboarding of applications across the Datadog. Easy integrations with other infrastructure support tools such as Docker, Jenkins, etc.

What is your favorite aspect of this product?

My favorite aspect is ease of integrations and seamless connection with other various applications which ensures high productivity for resolution of issues. An easy and interactive incident management tool powered with Ai features for optimal system tracking and monitoring the systems effectively.

What do you dislike most about this product?

Datadog has several advantages but it can be expensive for the larger environments. Continuous learning for new features and enhancements based on documentations and demonstrations.

What recommendations would you give to someone considering this product?

Datadog is a great tool with several functionalities which will assist the users to perform various tasks like monitoring, incident management, alert management, etc using the same platform. I will recommend this product because of its promising potential.

What differentiates Datadog from other similar products?

As far as I know Datadog has the largest number of integrations with other commonly used cloud providers, databases, languages and its also has the highest number of meaningful features, hence making it one of the biggest o11y software. I also love its intuitiveness and was able to use it comfortably within few hours which includes setting up metrics for my application, creating the dashboard and notifications on slack and alerts on pager-duty based on various thresholds, while it was not that fast in other software I used earlier.

What is your favorite aspect of this product?

with its APM and metrics dashboards together, its less context switches while debugging the production incident, hence saves huge amount of time, also zero overhead of maintaining it.

What do you dislike most about this product?

it doesn't have the great logging support, which makes it difficult to deep dive in few issues where we really needs to dig into the logs, also its cost is on higher side

What recommendations would you give to someone considering this product?

list down what are your real needs and budget and based on make final decision

What differentiates Datadog from other similar products?

its very easy to setup and extensive guides on its various capabilities its also super important for observability software to be very reliable other wise you can't find the critical issues in your system real-time, and in my experience i never saw the disruption to the DataDog(DD) service which enabled me to do many production RCAs effectively, while I faced few issues with other open-source and proprietary softwares. Also DD has very intuitive UI/UX which makes it very user friendly

What is your favorite aspect of this product?

its Out of the box integration with many softwares and cloud providers to see all the infra and application metrics and highly customisable dashboards and integration with many alerting systems. and very good explanation about the metrics provides for Out of the box integration with other softwares like kafka, Elasticsearch etc

What do you dislike most about this product?

its cost and when you want to customize or add new metrics for your application its not very straightforward like its in prometheus and documentation and guides needs more better examples for adding the custom metrics.

What recommendations would you give to someone considering this product?

have trial accounts with DD and other observability softwares and evaluate their features based on your needs and budget before making the final decision