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.
"The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."
"The full stack of integrations made it easier to monitor the different technologies and platform providers, including Software as a Service providers, that otherwise would need a lot of work and customization to be able to see what is happening."
"The platform appeals to companies spanning many industries on a global scale."
"The most valuable aspect is for us to have everything in one place."
"The management of SLOs and their related burn-rate monitors have allowed us to onboard teams to on-call fast."
"The solution has improved the organization by providing good insights into app performance and offering good dashboards."
"The initial setup is very straightforward."
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"Sentry is a pretty stable product... Sentry's documentation is pretty straightforward and neat."
"Sentry breaks everything down in real time."
"The most valuable feature is the ability to create and assign rules and give access to particular users."
"The solution is user-friendly."
"The product performs well."
"Sentry is more accurate than some other tools such as Datadog because it has more integration with Slack, GitLab, Jira, or other ticketing tools."
"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."
"I found the documentation can sometimes be confusing."
"Geo-data is also something very critical that we hope to see in the future."
"The product could be improved by providing remote control to agents, enabling them to execute automation and collections without requiring another automation tool or integration."
"The pricing is a bit confusing."
"We need more integration with security tools like Drata."
"It seems that admin cost control granularity is an afterthought."
"It does not have the best interface."
"They could have better log reporting."
"The settings for an administrator are complex."
"It should be easier to integrate Sentry with other tools, and the end-to-end tracing capabilities could be 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 would be nice if the product provided a map showing the users’ geographic location."
"We cannot restrict particular columns on particular data. It would be helpful if that feature was improved."
"The log centralization and analysis could be improved in Sentry."
"Its debugging feature needs to be faster."
"I would like to see a role registration feature added."
Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews while Sentry is ranked 8th in Application Performance Monitoring (APM) and Observability with 11 reviews. Datadog is rated 8.6, while Sentry is rated 8.6. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Sentry writes "An easy-to-use solution that has a good dashboard, performs well, and provides flexible pricing". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Wazuh, whereas Sentry is most compared with Azure Monitor, Grafana, Elastic Observability, New Relic 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.