We performed a comparison between Datadog and Sentry based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Features: Datadog offers useful features like dashboards, reporting, error reporting, log centralization, ease of use and setup, logs, and analysis, while Sentry excels in accuracy, integration with tools, error management, user-friendliness, and providing a rich context for error logs. Datadog requires improvements in usability, integration, SSL security, customization flexibility, documentation, and local support. Sentry could enhance issue automation, tracking capabilities, integration, pricing, and visual UX for administrators.
Service and Support: Datadog's customer service is highly praised for its availability and promptness, earning positive reviews. Sentry's customer service has limited feedback, but customers appreciate the helpfulness of the community support and documentation.
Ease of Deployment: Users generally find the initial setup for Datadog to be simple and uncomplicated, with some receiving help from service providers or technical support. However, a few users did find it complicated and needed to make further adjustments. Setting up Sentry initially is also easy and straightforward, offering various options. However, smaller companies may take up to three months for onboarding, and configuring a self-hosted server can be more difficult.
Pricing: The cost of setting up Datadog is subjective, with differing opinions among users. Some find it costly, while others find it reasonable. Users recommend trying the free plan before opting for a paid subscription. The pricing structure, particularly for log analytics and traffic-based expenses, can be perplexing. Sentry provides a free plan for initial projects and has affordable pricing for the paid version. Although some users find the license expensive, they believe it is worthwhile.
ROI: Users have reported different levels of ROI when using Datadog, with some highlighting the time saved and improved visibility into potential issues. Sentry has demonstrated favorable financial outcomes and advantages.
Comparison Results: Datadog is the preferred choice in comparison to Sentry. Users find Datadog easy to use and set up, appreciating its dashboards, reporting capabilities, error reporting, and log centralization. It is also praised for its user-friendliness for development teams and wide range of integrations. Datadog offers flexibility, observability, and additional features like AI and ML capabilities.
"Datadog is easy to use and easy to deploy. It's a better solution compared to others on the market in terms of being budget friendly for our customers."
"It is easy to implement and scale applications with standardized visibility, monitoring and alerting"
"The most valuable aspects of the product include the APM and profiler."
"The initial setup is very straightforward."
"Datadog has flexibility."
"The solution has improved the organization by providing good insights into app performance and offering good dashboards."
"Most of the features in the way Datadog does monitoring are commendable and that is the reason we choose it. We did some comparisons before picking Datadog. Datadog was recommended based on the features provided."
"Datadog has clear dashboards and good documentation."
"Great for capturing application performance metrics and error logs."
"It's a great visibility tool for the developer team."
"The most valuable feature is the ability to create and assign rules and give access to particular users."
"Sentry is a pretty stable product... Sentry's documentation is pretty straightforward and neat."
"Its initial setup process is relatively straightforward."
"The stability is very good for Sentry and in general works well."
"The most valuable feature we have found with Sentry is the security that it provides."
"Sentry breaks everything down in real time."
"I would love to see more metrics or analytics in IoT devices."
"It is very difficult to make the solutions fit perfectly for large organizations, especially in terms of high cardinality objects and multi-tenancy, where the data needs to be rolled up to a summarized level while maintaining its individual data granularity and identifiers."
"Billing should be more transparent."
"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."
"We would like to see smaller or shorter tutorials and video sessions."
"Sometimes, it takes a long time to load the dashboard if we have many charts."
"Auto instrumentation on tracing has not been very easy to find in the documentation."
"We primarily use the log management functionality, and the only feedback I have there is better fuzzy text searching in logs (the kind that Kibana has)."
"We cannot restrict particular columns on particular data. It would be helpful if that feature was improved."
"To deal with its shortcomings, Sentry needs to continuously improve in areas like the user interface and documentation, apart from its other features."
"It should be easier to integrate Sentry with other tools, and the end-to-end tracing capabilities could be improved."
"The settings for an administrator are complex."
"The price could be lowered."
"I would like to have alert policies and alert conditions enhanced in the next release."
"Lacks user metric tracking and the ability to create more dashboards."
"I would like to see a role registration feature added."
Datadog is a cloud monitoring solution that is designed to assist administrators, IT teams, and other members of an organization who are charged with keeping a close eye on their networks. Administrators can use Datadog to set real-time alerts and schedule automated report generation. They can deal with issues as they arise and keep up to date with the overall health of their network while still being able to focus on other tasks. Users can also track the historical performance of their networks and ensure that they operate at the highest possible level.
Some of the ways that organizations can benefit by deploying Datadog include:
Reviews from Real Users
Datadog is a solution that stands out when compared to many of its competitors. It can offer organizations many advantages. Two major advantages are the dashboards that users can create and the monitoring capability that it gives system administrators.
A senior manager in charge of site reliability engineering at Extra Space Storage writes, “The dashboards we created are core indicators of the health of our system, and it is one of the most reliable sources we have turned to, especially as we have seen APM metrics impacted several times lately. We can usually rely on logs to tell us what the apps are doing.”
Housecall Pro’s senior director of DevOps writes, “We value the monitoring capability since it allows us to be pushed alerts, rather than having to observe graphs continually.”
Sentry’s real-time error tracking gives you insight into production deployments and information to reproduce and fix crashes.
Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 101 reviews while Sentry is ranked 13th in Application Performance Monitoring (APM) and Observability with 9 reviews. Datadog is rated 8.6, while Sentry is rated 8.4. The top reviewer of Datadog writes "Easy to set up and good UI but needs better customization capabilities". On the other hand, the top reviewer of Sentry writes "A stable alert management application with straightforward and neat documentation". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, Splunk Enterprise Security and AppDynamics, whereas Sentry is most compared with New Relic, Azure Monitor, Elastic Observability, Grafana and Prometheus. See our Datadog vs. Sentry report.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
We monitor all Application Performance Monitoring (APM) and Observability 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.