We compared Amazon CloudWatch and Graylog based on our users' reviews in five categories. We reviewed all of the data and you can find the conclusion below.
Features: Amazon CloudWatch users liked the solution’s simplicity, intuitive interface, and ability to handle large workloads. Users also praised CloudWatch’s comprehensive monitoring and alerts. Graylog stands out with its exceptional search functions, seamless integration with Elasticsearch, and real-time data access. Some reviews mentioned that Amazon CloudWatch could improve performance and dashboard visualization. Others noted that the solution lacked compatibility with some databases. Graylog could benefit from additional customization options and an improved rule-creation process.
Service and Support: Customers generally have positive opinions about Amazon's customer service. They commended the support team for its availability and timely issue resolution. Graylog's customer service is generally well-regarded, with reviewers noting effective solutions and satisfactory experiences. While response times may differ, Graylog's support is considered superior compared to that of other products.
Ease of Deployment: Amazon CloudWatch is generally described as easy to set up. Some Graylog users said the setup was easy. Other reviewers faced challenges, but these were easily resolved with help from the vendor’s support staff. Graylog is easier to set up in smaller environments, but it could get complicated in large clusters.
Pricing: Amazon CloudWatch offers a flexible pricing structure based on usage and processing, without any separate licensing cost. Some users said that scaling up can be costly due to the need for additional storage space. Graylog offers an enterprise edition and an open-source option with a daily capacity restriction. Some users said that data costs can be expensive.
ROI: Amazon CloudWatch offers a return on investment by minimizing the need for manual monitoring. Graylog can offer some cost savings. The precise ROI may vary depending on the organization’s size and use case.
"I can put it in a simple term, its simplicity is always there."
"The most valuable feature of Amazon CloudWatch is the monitoring and UI."
"The most valuable feature of Amazon CloudWatch is reliability."
"The monitoring features are valuable."
"The tool's UI is good. One can scroll through the logs very easily."
"The solution is easy to use."
"It offers direct integrations with various storage providers, making it convenient to push logs from CloudWatch to these external platforms."
"What I found most valuable in Amazon CloudWatch is that it gives you detailed information, which I found helpful because it can even provide you with data for the past one minute, which is quite granular. That was what helped me most in terms of finding the root causes. Task automation is another valuable feature of Amazon CloudWatch."
"It is used as a log manager/SIEM. It provides visibility into the infrastructure and security related events."
"Message forwarding through the in-built module."
"The best feature of Graylog is the Elasticsearch integration. We can integrate and we can run filters, such as an event of interest, and those logs we can send to any SIEM tool or as an analytic. Additionally, there are clear and well-documented implementation instructions on their website to follow if needed."
"Allowing us to set up alerts and integrate with platforms we already use, such as Slack and OpsGenie to alert users of these errors proactively, is also a very useful feature."
"This had increased productivity for the dev and support teams, because we are directly notifying them."
"Open source and user friendly."
"Everything stands out as valuable, including the fact that I can quantify and qualify the logs, create pipelines and process the logs in any way I like, and create charts or data maps."
"UDP is a fast and lightweight protocol, perfect for sending large volumes of logs with minimal overhead."
"Some of our customers want to use Kubernetes to monitor their CICD flow but Amazon CloudWatch does not support it. We need to use another solution, such as Datadog or Dynatrace has the needed capability."
"For monitoring applications or for APM, CloudWatch has some limitations. You cannot monitor application performance from CloudWatch, and you have to go for a third-party tool."
"The solution's integration could be easier for laypersons."
"The graphical interface has room for improvement. CloudWatch only gives you a breakdown of what's wrong. However, it would be nice if it could automatically remedy the problems it identifies. You should be able to configure it so that when a specific condition arises, it will take a predefined action."
"There's a learning curve with Amazon CloudWatch since we have to learn to write the queries to extract the keys and logs."
"It is hard to configure; it is not a straightforward tool."
"I think something that can be improved are the alerts and alerting mechanism based on no rejects. We want to have it more flexible and that is one of the key things that is required."
"Amazon CloudWatch's pricing needs improvement."
"I would like to see a date and time in the Graylog Grok patterns so that I can save time when searching for a log. I like how the streams and the search query work, but adding a date and time will allow me to pull out a log in a milli-second."
"The biggest problem is the collector application, as we wanted to avoid using Graylog Collector Sidecar due to its architecture."
"Since container orchestration systems are popular and Graylog fits the niche well, perhaps they could officially support running in docker containers on Kubernetes as a StatefulSet as a use case. That way, the declarative nature of Kubernetes config files would document their best case deployment scenario-"
"Graylog needs to improve their authentication. Also, the fact that Graylog displays logs from the top down is just ridiculous."
"The infrastructure cost is the main issue. I like the rest. If the infrastructure costs could be lower, it would be fantastic."
"We ran into problems with Elasticsearch throwing a circuit-breaking exception due to field data size being too large. It turned out that the heap size directly impacted this size in a high-throughput environment, causing unexplained instability in Graylog. We were able to troubleshoot on the Elasticsearch size, but we should have been able to reference some minimum requirements for Graylog to know that our settings weren't sufficient."
"Over six months, I had two similar issues where searches were performed on field "messages". It exhausted all the memory of the ES node causing an ES crash and a Graylog halt."
"Elasticsearch recommendations for tuning could be better. Graylog doesn't have direct support for running the system inside of Kubernetes, so it can be challenging to fill in the gaps and set up containers in a way that is both performant and stable."
Amazon CloudWatch is ranked 12th in Log Management with 40 reviews while Graylog is ranked 11th in Log Management with 18 reviews. Amazon CloudWatch is rated 8.0, while Graylog is rated 8.0. The top reviewer of Amazon CloudWatch writes "Instantaneous response when monitoring logs and KPIs". On the other hand, the top reviewer of Graylog writes "Great detailed search features and easy Java integration, but needs improvement in integration with Python". Amazon CloudWatch is most compared with Zabbix, Datadog, Google Cloud's operations suite (formerly Stackdriver), Dynatrace and Splunk Infrastructure Monitoring, whereas Graylog is most compared with Grafana Loki, Wazuh, syslog-ng, Fortinet FortiAnalyzer and Splunk Enterprise Security. See our Amazon CloudWatch vs. Graylog report.
See our list of best Log Management vendors.
We monitor all Log Management 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.
