We performed a comparison between Amazon CloudWatch and Datadog based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Datadog ultimately won out in this comparison. According to reviews, Datadog appears to be a more comprehensive and high performing solution. Amazon CloudWatch does come out on top in the setup and pricing categories, however.
"Amazon CloudWatch is a cheap and easy-to-use solution."
"The solution is easy to use."
"The monitoring feature is valuable."
"The solution gives us very good real-time data."
"Amazon CloudWatch's best feature stems from its ability to monitor app performance."
"We use Amazon CloudWatch for logging."
"The most valuable feature of Amazon CloudWatch is collecting the logs from Lambda."
"CloudWatch immediately hooks up and connects to the KPIs and all the metrics."
"The solution has helped out organization gain improved visibility."
"It has enhanced the performance of my team."
"If we have a large load for users using our basic Datadog, it will immediately fire off an alert notifying us either something's wrong or not."
"The most valuable feature of Datadog is its logs."
"The initial setup is very straightforward."
"We've found it most useful for managing Rstudio Workbench, which has its own logs that would not be picked up via Cloudwatch."
"The most valuable aspect is the APM which can monitor the metrics and latencies."
"Datadog has made it much easier to have a central place for people to look for logs and made it much easier to notify them of any elevated error rates or failures."
"I would like to monitor inbound and outbound transfer. I would also like to control the traffic for load balancing."
"There is room for improvement in the pricing, because they have a premium version, but it's not really a premium version. It's just an enhanced monitoring version, and it can be a bit expensive depending on your usage."
"The dashboard and the UI could improve in Amazon CloudWatch. Additionally, they should focus on visibility inside the servers with AI and machine learning integrations. This would allow users who are using the solution to see what is happening within the system better."
"Improvement of SSSD logs would be beneficial."
"CloudWatch doesn’t monitor disk throughput by default."
"The solution could benefit from a price decrease."
"The solution's auto-scaling could be improved."
"The product's configuration has some challenges. The solution needs to be more user-friendly."
"The real issue with this product is cost control."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"Datadog is expensive."
"It would be nice to be able to graph metrics by excluding certain tags (like you can do in monitors)."
"I've found that the documentation is lacking in certain regards."
"When the logs are too big, and Datadog splits them, the JSON format breaks and it is not so useful for us."
"Datadog could improve the flexibility with AI and ML concepts. This will allow customers to be more leveraged towards publishing."
"In the past two years, there have been a couple of outages."
Amazon CloudWatch is ranked 9th in Cloud Monitoring Software with 40 reviews while Datadog is ranked 1st in Cloud Monitoring Software with 137 reviews. Amazon CloudWatch is rated 8.0, while Datadog is rated 8.6. The top reviewer of Amazon CloudWatch writes "Instantaneous response when monitoring logs and KPIs". On the other hand, the top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". Amazon CloudWatch is most compared with Zabbix, Google Cloud's operations suite (formerly Stackdriver), Dynatrace, SolarWinds NPM and Nagios XI, whereas Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Coralogix. See our Amazon CloudWatch vs. Datadog report.
See our list of best Cloud Monitoring Software vendors and best Log Management vendors.
We monitor all Cloud Monitoring Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.