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Datadog vs Zabbix: What are the differences?
Introduction
In this article, we will compare Datadog and Zabbix, two popular monitoring and observability tools. Both tools offer different features and capabilities that cater to specific needs and requirements of organizations. Understanding the key differences between Datadog and Zabbix can help users make an informed decision regarding which tool may be the better fit for their monitoring and observability needs.
Cloud-native Monitoring: Datadog is a cloud-native monitoring platform that is specifically designed to monitor cloud-based environments, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). It offers comprehensive support for cloud services, making it easier to monitor cloud-based workloads, services, and infrastructure. On the other hand, Zabbix is more focused on on-premises infrastructure monitoring and may require additional configuration or customization to monitor cloud environments.
Ease of Use and Scalability: Datadog provides a highly intuitive and user-friendly interface, making it easier for users to navigate and configure the tool. It offers out-of-the-box integrations with a wide range of technologies, simplifying the monitoring setup process. Additionally, Datadog's scalable architecture allows users to easily scale their monitoring capabilities as their infrastructure grows. Zabbix, on the other hand, may have a steeper learning curve and requires more manual configuration and setup, making it suitable for more technical users or those with specific customization needs.
Monitoring Capabilities: Datadog offers a comprehensive set of monitoring capabilities, including infrastructure monitoring, application performance monitoring (APM), log management, and real-time analytics. It provides a wide range of integrations and supports monitoring across various technology stacks, making it suitable for monitoring complex, distributed systems. Zabbix focuses more on infrastructure monitoring and provides basic application monitoring capabilities. While it can be customized to monitor different technologies, it may require more effort and expertise compared to Datadog.
Alerting and Notification: Datadog offers robust alerting and notification features, allowing users to create and configure alerts based on various metrics and thresholds. It supports multiple notification channels, including email, SMS, and integrations with collaboration tools like Slack, PagerDuty, and Jira. Zabbix also offers alerting and notification capabilities but may require more manual configuration and setup compared to Datadog.
Community and Ecosystem: Datadog has a large and active community of users and developers, providing a wealth of resources, tutorials, and support for users. It also has a wide ecosystem of integrations and plugins developed by both Datadog and the community, allowing users to extend the tool's capabilities. Zabbix also has a community and ecosystem of users and developers but may have a smaller community compared to Datadog.
Pricing and Licensing: Datadog offers a flexible pricing model based on the number of hosts or infrastructure components monitored, allowing users to pay for the exact resources they need. It also offers a free tier with limited features for small-scale monitoring. Zabbix, on the other hand, is an open-source tool available under the GNU General Public License (GPL), making it free to use and modify. However, users may need to invest more in hardware resources and maintenance for larger-scale deployments.
In summary, Datadog is a cloud-native monitoring platform specifically designed for monitoring cloud-based environments, offering ease of use, scalability, a comprehensive set of monitoring capabilities, robust alerting, and a large community and ecosystem. On the other hand, Zabbix is more focused on on-premises infrastructure monitoring, requires more manual configuration, and provides basic application monitoring capabilities. It is available as an open-source tool with no licensing costs but may require more investment in hardware resources and maintenance.
Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.
Current Environment: .NET Core Web app hosted on Microsoft IIS
Future Environment: Web app will be hosted on Microsoft Azure
Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server
Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.
Please advise on the above. Thanks!
We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.
We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.
We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.
You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?
Can't say anything to Sysdig. I clearly prefer Datadog as
- they provide plenty of easy to "switch-on" plugins for various technologies (incl. most of AWS)
- easy to code (python) agent plugins / api for own metrics
- brillant dashboarding / alarms with many customization options
- pricing is OK, there are cheaper options for specific use cases but if you want superior dashboarding / alarms I haven't seen a good competitor (despite your own Prometheus / Grafana / Kibana dog food)
IMHO NewRelic is "promising since years" ;) good ideas but bad integration between their products. Their Dashboard query language is really nice but lacks critical functions like multiple data sets or advanced calculations. Needless to say you get all of that with Datadog.
Need help setting up a monitoring / logging / alarm infrastructure? Send me a message!
Hi Medeti,
you are right. Building based on your stack something with open source is heavy lifting. A lot of people I know start with such a set-up, but quickly run into frustration as they need to dedicated their best people to build a monitoring which is doing the job in a professional way.
As you are microservice focussed and are looking for 'low implementation and maintenance effort', you might want to have a look at INSTANA, which was built with modern tool stacks in mind. https://www.instana.com/apm-for-microservices/
We have a public sand-box available if you just want to have a look at the product once and of course also a free-trial: https://www.instana.com/getting-started-with-apm/
Let me know if you need anything on top.
I have hands on production experience both with New Relic and Datadog. I personally prefer Datadog over NewRelic because of the UI, the Documentation and the overall user/developer experience.
NewRelic however, can do basically the same things as Datadog can, and some of the features like alerting have been present in NewRelic for longer than in Datadog. The cool thing about NewRelic is their last-summer-updated pricing: you no longer pay per host but after data you send towards New Relic. This can be a huge cost saver depending on your particular setup
I'd go for Datadog, but given you have lots of containers I would also make a cost calculation. If the price difference is significant and there's a budget constraint NewRelic might be the better choice.
My team is divided on using Centreon or Zabbix for enterprise monitoring and alert automation. Can someone let us know which one is better? There is one more tool called Datadog that we are using for cloud assets. Of course, Datadog presents us with huge bills. So we want to have a comparative study. Suggestions and advice are welcome. Thanks!
I work at Volvo Car Corporation as a consultant Project Manager. We have deployed Zabbix in all of our factories for factory monitoring because after thorough investigation we saw that Zabbix supports the wide variety of Operating Systems, hardware peripherals and devices a Car Manufacturer has.
No other tool had the same amount of support onboard for our production environment and we didn't want to end up using a different tool again for several areas. That is the major strong point about Zabbix and it's free of course. Another strong point is the documentation which is widely available; Zabbix Youtube channel with tutorial video's, Zabbix share which holds free templates, the Zabbix online documentation and the Zabbix forum also helped us out quite a bit. Deployment is quite easy since it uses templates, so almost all configuration can be done on server side.
To conclude, we are really pleased with the tool so far, it helped us detect several causes of issues that were a pain to solve in the past.
Centreon is part of the Nagios ecosystem, meaning there is a huge number of resources you may find around in the community (plugins, skills, addons). Zabbix monitoring paradigms are totally different from Centreon. Centreon plugins have some kind of intelligence when they are launched, where Zabbix monitoring rules are configured centrally with the raw data collected. Testing both will help you understand :) Users used to say Centreon may be faster for setup and deployment. And in the end, both are full of monitoring features. Centreon has out of the box a full catalog of probes from cloud to the edge https://www.centreon.com/en/plugins-pack-list/ As soon as you have defined your monitoring policies and template, you can deploy it fast through command line API or REST API. Centreon plays well in the ITSM, Automation, AIOps spaces with many connectors for Prometheus, ServiceNow, GLPI, Ansible, Chef, Splunk, ... The polling server mode is one of the differentiators with Centreon. You set up remote server(s) and chose btw multiple information-exchange mechanisms. Powerful and resilient for remote, VPN, DMZ, satellite networks. Centreon is a good value for price to do a data collection (availability, performance, fault) on a wide range of technologies (physical, legacy, cloud). There are pro support and enterprise version with dashboards and reporting. IT Central Station gathers many user feedback you can rely on both Centreon & Zabbix https://www.itcentralstation.com/products/centreon-reviews
We highly recommend Zabbix. We have used it to build our own monitoring product (available on cloud -like datadog- or on premise with support) because of its flexibility and extendability. It can be easily integrated with the powerful dashboarding and data aggregation of Grafana, so it is perfect. All configuration is done via web and templates, so it scales well and can be distributed via proxies. I think there also more companies providing consultancy in Zabbix (like ours) than Centreon and community is much wider. Also Zabbix roadmap and focus (compatibility with Elasticsearch, Prometheus, TimescaleDB) is really really good.
Hi Vivek, what's your stack? If huge monitoring bills are your concern and if you’re using a number of JVM languages, or mostly Scala / Akka, and would like “one tool to monitor them all”, Kamon might be the friendliest choice to go for.
Kamon APM’s major benefit is it comes with a built-in dashboard for the most important metrics to monitor, taking the pain of figuring out what to monitor and building your own dashboards for weeks out of the monitoring.
I haven't heard much about Datadog until about a year ago. Ironically, the NewRelic sales person who I had a series of trainings with was trash talking about Datadog a lot. That drew my attention to Datadog and I gave it a try at another client project where we needed log handling, dashboards and alerting.
In 2019, Datadog was already offering log management and from that perspective, it was ahead of NewRelic. Other than that, from my perspective, the two tools are offering a very-very similar set of tools. Therefore I wouldn't say there's a significant difference between the two, the decision is likely a matter of taste. The pricing is also very similar.
The reasons why we chose Datadog over NewRelic were:
- The presence of log handling feature (since then, logging is GA at NewRelic as well since falls 2019).
- The setup was easier even though I already had experience with NewRelic, including participation in NewRelic trainings.
- The UI of Datadog is more compact and my experience is smoother.
- The NewRelic UI is very fragmented and New Relic One is just increasing this experience for me.
- The log feature of Datadog is very well designed, I find very useful the tagging logs with services. The log filtering is also very awesome.
Bottom line is that both tools are great and it makes sense to discover both and making the decision based on your use case. In our case, Datadog was the clear winner due to its UI, ease of setup and the awesome logging and alerting features.
I chose Datadog APM because the much better APM insights it provides (flamegraph, percentiles by default).
The drawbacks of this decision are we had to move our production monitoring to TimescaleDB + Telegraf instead of NR Insight
NewRelic is definitely easier when starting out. Agent is only a lib and doesn't require a daemon
Pros of Datadog
- Monitoring for many apps (databases, web servers, etc)139
- Easy setup107
- Powerful ui87
- Powerful integrations84
- Great value70
- Great visualization54
- Events + metrics = clarity46
- Notifications41
- Custom metrics41
- Flexibility39
- Free & paid plans19
- Great customer support16
- Makes my life easier15
- Adapts automatically as i scale up10
- Easy setup and plugins9
- Super easy and powerful8
- AWS support7
- In-context collaboration7
- Rich in features6
- Docker support5
- Cost4
- Full visibility of applications4
- Monitor almost everything4
- Cute logo4
- Automation tools4
- Source control and bug tracking4
- Simple, powerful, great for infra4
- Easy to Analyze4
- Best than others4
- Best in the field3
- Expensive3
- Good for Startups3
- Free setup3
- APM2
Pros of Zabbix
- Free21
- Alerts9
- Service/node/network discovery5
- Templates5
- Base metrics from the box4
- Multi-dashboards3
- SMS/Email/Messenger alerts3
- Grafana plugin available2
- Supports Graphs ans screens2
- Support proxies (for monitoring remote branches)2
- Perform website checking (response time, loading, ...)1
- API available for creating own apps1
- Templates free available (Zabbix Share)1
- Works with multiple databases1
- Advanced integrations1
- Supports multiple protocols/agents1
- Complete Logs Report1
- Open source1
- Supports large variety of Operating Systems1
- Supports JMX (Java, Tomcat, Jboss, ...)1
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Cons of Datadog
- Expensive20
- No errors exception tracking4
- External Network Goes Down You Wont Be Logging2
- Complicated1
Cons of Zabbix
- The UI is in PHP5
- Puppet module is sluggish2