Datadog Reviews: 4.3/5 — Solid Choice

What we like best about Datadog is its ability to provide real-time visibility into application performance, infrastructure, and logs, all in one place.

The platform is pretty complex; it can take some time to learn how to use all of its features and may not be suitable for smaller applications.

Datadog is solving the problem of monitoring and analyzing large-scale applications, which can be a challenging and time-consuming task.

The tool is easy to use, great monitoring feature with customizable dashboard.

Proper support is not there, training materials / documentation needs to be more clear.

helps etect errors quickly by having a look at the logs and keep track of the application on real time basis.

Using Datadog to investigate network and service issues on your environments where you are struggling to locate issues. It is great to identify a bottleneck in your system. It is simple and user friendly.

Datadogs full package is rather costly and may not necessarily be affordable when it comes to small companies that are looking to diagnose a minor issue on the system

During my time of using datadog I was using it to identify network and service issues within various environments where we were trying to bed down an issue regarding data and they synchronization of such. It's pretty simple to set up yet basic in identifying issues and may require the full package.

with the help of data dog, I am able to monitor large-scale applications and it can be used to determine performance metrics. The data dog is available as SaaS and it also provides a customized dashboard

It is not easy to understand how to use it at total capacity. Initially, it is hard to track the data logs and Its integration with the spring boot project is also tricky. The Custom Dashboard is hard to manage.

It is used to generate performance metrics and enable me to create alerts. It also generates performance reports for the application, Data collection becomes so easy.

Have extensive webhooks microservice management features with support more for applications as well as infrastructure level.

Datadog configurations screen are more suited for trained or product-savvy professionals rather than tech beginners

Alerts needs to be moved into Microsoft Teams and infrastructure monitoring, including vpn tunnel monitoring

Datadog is a perfect APM solution that is probably the best for serverless environments such AWS Lambda or Fargate monitoring. They are also able to monitor standard infrastructure, but where I think they differentiate themselves is with serverless compute.

It can become quite expensive. This cost adds on top of an already expensive AWS infrastructure monthly bill which can make this cost prohibitive for some, but overall it's well worth the price if you can afford it.

There aren't many options to monitor application performance (APM) for serverless environments, but Datadog is one of them, and it does a great job. We looked at other vendors, but none of them would provide the same level of monitoring that DataDog did.

Creative user interface and easy navigation

A little complicated for a common person to work on if you do not the technology

It's helpful in solving the data problem and with the help of Datadog all the data can be stored at one place and is easy to manage and the team members can utilise it as and when needed.

- Visualizations and Dashboards can be easily derived - Customer Success Managers are highly-engaged

-The price can sometimes be hard to justify to the rest of the company

DataDog is providing observability to all of our enterprise workloads

monitoring is very easy, can see live log.

nothing as of now, i like everything in datadog

loging,monitoring,tracking issues in different environment

We are just beginning to explore all the functionality that Datadog offers, and it's so good it's almost overwhelming for a small team. Really appreciate how they onboard new clients and put together customized resources!

As mentioned in the like response, it's almost a dislike that they have so many tools because it can be overwhelming. We wanted to prioritize security and posturing, which they are just starting to invest in. They're very responsive to user feedback, so I have no doubt they'll only continue to grow and improve their assortment and ease of use.

Datadog is helping us with User Monitoring and gathering some alerting for errors, outages, and uptime. We're likely going to scale with them over time, but I imagine they can do quite a bit with their larger enterprise clients.

Workshops provided good insights and the keynotes showcased what the company is focused on and where they plan to be in future

Workshops could have been trimmed into smaller sections

Datadog seems to solve some scalibility issue which might be leverage in our environment

Overview of the full infrastructure, and integration between all layers, (Infra, Databases, Traces,). Every time we see a "New" badge we have to try it because it "must be good". So thank you for your effort on building those features, and thank you for releasing only "high quality" and complete features that provide ACTUAL value (vs competitors, that don't really do much and lag behind features) Also big thank you for full OpenTelemetry integration/support. and the Datadog OTLP agent integration. Keep up the amazing work

A bit of heavier lock-in lately, dd-trace is getting a big monopoly to collect reliably all things (traces, profiles, and now, Security (ASM)). I wish there was an open standard for that, or you guys would release an open standard.

It all started with one central place for logs, monitors, alerts, traces. It then evolved into a central place for service catalog overview, network map/dependencies calculator view. I hope it will evolve further into one tool to rule them all (More verticals, PagerDuty full replacement, Zoom full replacement, JIRA full replacement) I'm sure you can kick their butt with your high quality and capacity to execute.

Our team uses a number of DD features. We are heavily invested in the dashboards and monitors. We have DD integrated with Slack and Pager Duty and it a primary source of notifications that drives actions w/in our Operations team.

There is nothing I outwardly dislike. I consider myself an intermediate user, so gaining training and experience using the DD tools is interesting to me. I am especially interested in some of the newer features described at the Keynote today. Service Catalog, Security analysis, Workflows are all features that will integrate nicely w/ our current process suite.

Our current implementation of DD is mostly driven around monitoring and alerting of production software and critical systems in our infra.

ease of integration to software systems and infra

features can sometimes be random (code security), and log interface isnt as usable as kibana

grouping logs and metrics and tracing and allowing easy integration

I like the interface and the fact that datadog continues to add new integrations. They support all the major platforms. It is a great tool for DevOps/SRE as well as product engineering teams

I would like to have datadog hand kubernetes metrics better. The alerting tools do not handle pod terminations or scaling events effectively. I would also like more advance kubernetes metrics. Improved iac options for configuring datadog

Full visibility into the service running as well as the infrastructure. We use the logs / tracing for historical tracking to identify new issues and over all health

data dog is greata nd help with all my data needs. thewir able to connect me qwith all the vendors i recive. also they just gavew me a free mug!l

that i have to log in to gewt my freemug. i would rather have just written a anaoymous review and then i would have been more hionest

heloign with looker, sql and dbt. we paritally use it. honeslty i am only doing this for the mug

Easy usability, seamless log management and filtering. We're able to quickly build dashboards, share them with the team, and build alerts from them. Avi Verma helped us with our log pipeline/status remapper.

Would love to have certain features added, but there are open source products that may help us

Proactive alerting and log management. We need to know when logs fail to come in and act accordingly to solve these issues.

Data Integration Quality is perfect in the place

Little bit expensive but most of the customers like the quality

Data Integration Quality

Metric and performance for SLOs is great

UI is not the most user-friendly for the user to understand all the features

For us, its solving the performance metrics and it benefits me by helping me understand the use of my apis

possibility to aggregate views in a single dashboard

Navigating the platform is not very straightforward

Monitoring analytics in real time and identifying bottlenecks

They provide us with the application to integrate any data source. Also, many prebuilt dashboards and out-of-the-box use cases are given to use. Create custom use cases are so easy.

UI can be designed better for a better user experience.

Collect all logs at one place and give analsis.

Great instant visibility into KPIs and metrics, and flexibility of creating new reports/dashboards, once everything is set up

The learning curve can be a bit steep for someone who isn't on a db/bi/tech team, such as myself

Proactively identify data infrastructure problems with client projects has helped a lot

I love how even such a tool has api support and how i can just use those to pull and compline metrics from different clouds with a simple python script

I wish that DataDog was a bit more dynamic and also free

Its helping me monitor my aws cloud's traffic easily and since i have multiple clouds i cna easily use apis and python scripts to comple data and forcast my future traffic

Best to monitor microservices running on Kubernetes and easy to push custom metrics

There is nothing special that i didn't dislike about datalog

Logging, monitoring, and alerting

simple agent, no hassle, being cloud base it alerts you when your machine has something wrong or just simply is missing internet connection which can be meaning anything but at least you can debug it

the cloud interface is somwhow confusing, sometimes you do things and it's difficult to understand why you are not getting what you were thinking you were doing

statistics and alerts about particular devices which should maintaing in running and healthy conditions, also it alerts you that internet connection is missing for a given time

Datadog APM feature is most helpful for application observability.

No such feature i dislike in general as all the feature are the required one in day to day operations.

Centralized observability with simple and effective interfaces.

Ease of monitor creation and alert setup

There is no cc option in alerting , whatever alerts you setup will be directed to all the teams which might cause confusion as to who has the ownership of the problem

Monitoring for infrastructure and applications

Implementation and get to learn a lot. It's a very robust tool, and it supports more than 500 technology. Get to know a lot with this and even learning every day

They don't have to manage the environment.

all the apm issue

to implement datadog, people can learn the entire technology stack and it is good for mid level Engg

Configuration is manual and it is a bit time consuming

We are monitoring Infra and we can identify infra issues before it is becoming critical for business

+ Monitoring service level metrics + Dashboards + Infrastructure level monitoring

Nothing as such , datadog is best available tool

Service monitoring Backend monitoring Infrastructure monitoring