--- title: Datadog Reviews meta_title: 'Datadog Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 724 reviews by the users' company size, role or industry to find out how Datadog works for a business like yours. aggregate_rating: rating_value: 4.4 review_count: 724 scale: '5' date_modified: '2026-07-07' parent_category: name: Monitoring url: https://www.g2.com/categories/monitoring --- # Datadog Reviews **Vendor:** Datadog **Category:** [Enterprise Monitoring Software](https://www.g2.com/categories/enterprise-monitoring) **Average Rating:** 4.4/5.0 **Total Reviews:** 724 ## About Datadog Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. The SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics. ## Datadog Pros & Cons **What users like:** - Users value the **intuitive monitoring tools** of Datadog, finding it easy to gain insights and support. (150 reviews) - Users appreciate the **ease of use** of Datadog, enjoying seamless integrations and intuitive dashboard creation. (145 reviews) - Users appreciate the **real-time monitoring** capabilities of Datadog, enhancing their operational efficiency and responsiveness. (122 reviews) - Users appreciate the **robust and user-friendly features** of Datadog, enhancing their monitoring and integration capabilities. (98 reviews) - Users commend the **intuitive analytics and dashboard creation** in Datadog, facilitating seamless user session tracking. (94 reviews) - Users value the **wide range of integrations** in Datadog, simplifying service monitoring and enhancing usability. (91 reviews) - Log Management (84 reviews) - Users appreciate the **easy integrations** of Datadog, enhancing efficiency with extensive support for various applications. (82 reviews) - Monitoring Features (78 reviews) - Users appreciate the **user-friendly interface** of Datadog, making it easy to learn and navigate effectively. (77 reviews) **What users dislike:** - Users find the **subscription cost too high** , feeling Datadog could offer better value for money. (102 reviews) - Users express concerns about **pricing issues** , as costs can escalate rapidly and appear excessively high. (81 reviews) - Users find the **steep learning curve** challenging, especially with frequent updates and advanced features to master. (75 reviews) - Users feel that the **cost is too high** , especially as expenses can scale quickly with added features. (65 reviews) - Users experience a **learning difficulty** due to a steep curve and complicated setup, especially for newcomers. (56 reviews) - Users find the **complexity** of DataDog challenging, especially with navigation and configuration issues hindering usability. (54 reviews) - Users find Datadog has a **difficult learning curve** and is better suited for experienced professionals rather than beginners. (53 reviews) - Limited Features (42 reviews) - Missing Features (42 reviews) - Steep Learning Curve (42 reviews) ## Datadog Reviews ### 1. Datadog: Unified Logs, Metrics & Traces for Real-Time Visibility and Faster Debugging **Rating:** 4.5/5.0 stars **Reviewed by:** Anshul S. | SDET, Mid-Market (51-1000 emp.) **Reviewed Date:** June 30, 2026 **What do you like best about Datadog?** One of the biggest strengths of Datadog is how it brings logs, metrics, traces, and alerts into a single platform. Instead of switching between multiple monitoring tools, I can quickly identify what's happening across the entire application stack. Comprehensive dashboards that provide real-time visibility into application health. Powerful log search and filtering for faster root cause analysis. APM (Application Performance Monitoring) that helps identify performance bottlenecks. Intelligent alerting that notifies the team before issues significantly impact users. Seamless integrations with cloud services, databases, CI/CD pipelines, and infrastructure tools. In my QA and automation workflow, Datadog significantly reduces the time required to investigate production issues. Rather than relying solely on application logs, I can correlate metrics, traces, and logs to pinpoint the exact cause of a problem. This makes debugging much faster and improves collaboration between QA, developers, and DevOps teams. Overall, Datadog provides the visibility needed to proactively monitor systems, troubleshoot issues efficiently, and maintain application reliability. **What do you dislike about Datadog?** Although Datadog is one of the most comprehensive monitoring tools I've used, there are a few areas where it could improve. Pricing can become expensive as the number of hosts, logs, and monitored services increases. The large number of features can make the platform overwhelming for new users. Building advanced dashboards and queries sometimes requires a learning curve. High log volumes need careful management to avoid unnecessary costs. Some alerts require fine-tuning to reduce noise and avoid alert fatigue. For me, the biggest challenge is cost management. As monitoring requirements grow, it's important to optimize log retention, dashboards, and alert configurations to keep expenses under control. **What problems is Datadog solving and how is that benefiting you?** Datadog solves the problem of limited visibility into application performance and infrastructure health. Instead of checking multiple tools for logs, metrics, traces, and alerts, Datadog centralizes everything into a single platform, making monitoring and troubleshooting much more efficient. Detects application and infrastructure issues in real time. Centralizes logs, metrics, traces, and performance data. Speeds up root cause analysis during production incidents. Provides proactive alerts before issues impact end users. Helps monitor APIs, servers, databases, and cloud services from one dashboard. I use Datadog to investigate production issues, validate deployments, monitor API health, and analyze application performance. Having all the relevant telemetry in one place helps me identify problems much faster and collaborate effectively with developers and DevOps teams. The biggest benefit is reduced incident resolution time. By quickly correlating logs, metrics, and traces, Datadog helps the team diagnose issues faster, minimize downtime, and deliver a more reliable experience for users. ### 2. Faster incident detection and root-cause analysis, leading to better customer experience. **Rating:** 4.5/5.0 stars **Reviewed by:** Bertrand P. | Senior Product & Digital Transformation Leader, Retail, Enterprise (> 1000 emp.) **Reviewed Date:** June 26, 2026 **What do you like best about Datadog?** As a product manager what I like most about Datadog is how it centralizes observability for complex systems in a single platform. It brings metrics, logs, traces, and alerts together in one place, making it much easier to understand overall system health and troubleshoot issues quickly for runners and support teams. Onboarding tech teams is easy. Its real-time monitoring and alerting are especially valuable because they help detect incidents early and improve response times. I also appreciate the breadth and depth of integrations with cloud providers, infrastructure tools, and application services, which makes Datadog adaptable across different architectures. Depending the implementation the price can evolve but you are fully mastering the cost. Overall, it delivers strong visibility and control over system performance, which feels essential in modern distributed environments at scale. Perspectives to use it coupling with AI support agent is a plus to prepare the future. **What do you dislike about Datadog?** The tool provide insights and data but teams have to spend significant time interpreting what action should be taken. **What problems is Datadog solving and how is that benefiting you?** It centralizes application supervision and infrastructure monitoring, helping detect incidents faster. It also makes it easier to understand root causes and improve digital reliability. ### 3. Unified Observability with Powerful Integrations and Fast Root Cause Analysis **Rating:** 4.5/5.0 stars **Reviewed by:** Ravindra N. | SDET - 2, Oil & Energy, Enterprise (> 1000 emp.) **Reviewed Date:** May 08, 2026 **What do you like best about Datadog?** The most impressive part of Datadog is how it bridges the gap between automated testing and production observability. The CI Visibility and Test Optimization features are standout; being able to trace every test execution within our pipelines allows for immediate identification of flaky tests and performance regressions before they ever reach a staging environment. The correlation between test failures and underlying infrastructure metrics or application traces is seamless, which drastically reduces the time spent on root cause analysis. Instead of just seeing a failed build, we can see exactly which service or database query caused the bottleneck during that specific test run. This level of granular, integrated data is essential for maintaining a high-quality codebase and a reliable release cycle. **What do you dislike about Datadog?** The primary challenge is the complexity of managing high-volume log ingestion and the associated costs, especially when running extensive automated test suites that generate significant data. Additionally, configuring complex multi-step Synthetic Monitoring tests can be time-consuming, and the web UI occasionally feels sluggish when navigating through large, data-heavy dashboards during critical debugging sessions. **What problems is Datadog solving and how is that benefiting you?** Datadog solves the problem of fragmented quality signals by providing a unified view of application health from development through production. It allows us to move from reactive bug fixing to a more proactive quality engineering approach. By using Synthetic Monitoring to simulate critical user journeys and Real User Monitoring (RUM) to validate actual performance, we can ensure that our quality gates are truly representative of the end-user experience. This integration helps us catch regressions early in the CI/CD pipeline, reducing production incidents and improving overall system stability. The benefit is a much more efficient feedback loop for our engineering teams, leading to faster, more confident deployments and a consistently high-performing application for our customers. ### 4. rom Integrations to Security – A Truly Comprehensive Monitoring Solution **Rating:** 5.0/5.0 stars **Reviewed by:** Prashant D. | IT-Infra-Lead, Information Services, Mid-Market (51-1000 emp.) **Reviewed Date:** July 02, 2025 **What do you like best about Datadog?** It is a complete IT infrastructure solution that allows you to monitor infrastructure, applications, logs, traces, and security events all in one place. It support all kind of integration and you can if if you face any issue customer support is outstanding. Dashboards & Visualizations makes easy to diagnose the issue. Configuration and implementation is easy supports all kind of OS, docker, K8s. Smart alerts with machine learning-based anomaly detection help catch issues before they escalate. **What do you dislike about Datadog?** While Datadog is powerful and feature-rich, it can take some time to fully learn and configure for new users. **What problems is Datadog solving and how is that benefiting you?** Datadog helps us monitor all our systems, applications, and logs in one place. It helps reduce downtime and keeps our services running smoothly. This saves time, improves team collaboration, and gives us better visibility into our infrastructure. ### 5. Feature-Rich with Room for UI Improvement **Rating:** 4.5/5.0 stars **Reviewed by:** Kunal G. | Core Engineering Software Developer, Enterprise (> 1000 emp.) **Reviewed Date:** April 03, 2026 **What do you like best about Datadog?** I really like that Datadog gives us developers a unified view into multiple aspects of the software's development lifecycle. It handles logging, metrics, observability, telemetry, and error reporting all together. I specifically appreciate being able to filter logs based on multiple aspects and set parameters, which makes it easy to check logs for particular users or domains. It also simplifies the visualization of log occurrences through pie charts, graphs, and histograms, and these can be exported and shared with colleagues to derive insights. Additionally, the initial setup is straightforward, and the enterprise team helps streamline things, while there is ample online support and community resources available for problem-solving. **What do you dislike about Datadog?** Sometimes the UI can appear messy and cluttered, especially to novice users. It made me feel overwhelmed when I first started using it because there were so many buttons and features, which makes the learning curve a bit steep for newcomers. **What problems is Datadog solving and how is that benefiting you?** I use Datadog to aggregate logs and derive insights, debug applications across environments, and manage incidents through integrations with Slack and PagerDuty. It offers flexibility in log searching and cold storage to save on costs. Overall, it simplifies monitoring and telemetry, making my work easier. ### 6. Effortless Observability Across Platforms, Services and Integrations for Always-On Reliability **Rating:** 5.0/5.0 stars **Reviewed by:** Prasanth K. | Enterprise Architect | Cloud Transformation Leader | Driving Multi-Cloud Strategy, Solutions | DevSecOps Excellence | Innovation Resilient Infrastructure at Scale, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** January 05, 2026 **What do you like best about Datadog?** Firstly, Its integration capabilities to Hosts (Windows/Linux/mac), Platforms (AWS, Azure which I use, plus GCP etc) and container platforms (Docker, Kubernetes) etc benefits alot of usecases as DD server as a one stop shop. We have support for multiple programming languages to easily publish logs to Datadog directly right form your application code, eliminating any fancy stuff. We have very reliable feature slike smart health checks and automated test suites so we catch problems before they hit. On-call teams get instant alerts, incident triage, and even automated workflows for triage etc enhance teams to focus fixing issues quickly and stress-free with some readily available first hand information. Dashboards with visualizations like line, bar, pie, and timeseries charts cater to different use cases—such as applications, infrastructure, and databases—making it easier to monitor performance. DD become an integral part of our daily operations, helping outquickly spot anomalies and simplifying the overall and managing workflows. Its easy to setup/install/implement agent configuration (Pre designed Installation URL with installation script) doesnt take more than 5mins. Users can readily build dashboards in under 15 mins for prod grade setup. [ In general its just 5mins as publicised by Datadog]. DD do has great customer support but we rarely need that as most of the stuff has documentation and easy to setup or configure. **What do you dislike about Datadog?** In our current context, As our infrastructure or application footprint grows, storage costs increase proportionally and can become a major expense. If we need to retain data for extended periods, expect those costs to rise even further (so storage necessity is the key). Just like other platforms, Datadog also offers numerous integrations with third-party platforms like Slack, Microsoft Teams, and Jira. We leveraged on all these channels initially that lead to increased costs, as each integration added complexity and resource usage along with increase complexity implementing them. We had to strip someof them to manage cost and purpose of applications at different environment levels. There are so many options for same purpose but without proper guidance or complete understanding of that usecase, we may en dup implement more than what is required. So purpose is key here. **What problems is Datadog solving and how is that benefiting you?** 1. Datadog is helping us providing the complete picture of problem with some initial details and by giving us a single platform to monitor 50+ microservices across 40+ AWS accounts, so nothing slips through the cracks. we have some first hand information based on automation or test suits logs, we know where to check, leading to less turn around time. 2. It tackles incident management/response challenges with real-time alerts, on-call integration, and automated triage, identifying similar patterns, notes around the service and resolution documents helping us fix issues before they impact customers at large extend. Its integration to different platforms we manage (almost all) is really a value add. 3. Built-in health checks and test suites keep our systems in shape, while integrations with AWS, PagerDuty, Slack, and more make the whole workflow smooth and connected. Datadog eliminates tool silos and creates a smooth workflow for monitoring and incident resolution. 4. From service-level segregation to rich dashboards, Datadog turns most of our log data into simple insights for engineers and execs alike. Different dashboards at low level and higher level made our life easy from monitoring to presenting the data to higher-ups. ### 7. Insightful Monitoring, Quick Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Jesse S. | Sr. Product Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** March 11, 2026 **What do you like best about Datadog?** I really like how quickly data shows up in Datadog. It's really quick and easy to integrate webhooks with it, and we can search through the results quickly and easily to find examples of integrations working or not working. Being able to dig into API payloads and understand what's causing issues by looking at API responses in Datadog makes troubleshooting a lot easier for me. The ability to build dashboards and metrics to gain insights on our integrations also stands out. **What do you dislike about Datadog?** Sometimes, once you have searched for something and it has filtered down to a specific context, it can be difficult to know how to expand the context to include other sources. **What problems is Datadog solving and how is that benefiting you?** I use Datadog to track errors in integrations, troubleshoot export issues, and check API error rates. It provides insights into system performance and helps me build dashboards to monitor API response times and integration status. ### 8. Unmatched Reliability and Observability You Can Trust **Rating:** 1.5/5.0 stars **Reviewed by:** Puskar T. | Site Reliability Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** December 19, 2025 **What do you like best about Datadog?** What I appreciate most about DataDog are its reliability and observability. Even during major global outages, such as those affecting Cloudflare and AWS, DataDog continued to perform without any issues. The APM, RUM, and Synthetic Checks are exceptionally dependable, giving me the confidence to choose DataDog without hesitation. **What do you dislike about Datadog?** I wish the UI had a more modern look, as it currently feels like I'm using an old inventory management system from the 2000s. **What problems is Datadog solving and how is that benefiting you?** DataDog has been highly beneficial for us in many ways, from monitoring synthetic checks to tracking APM traces. The platform provides a map of interconnected, dependable services, allowing us to view latency and error rates all in one central location. The alerting mechanism is easy to use, supports numerous integrations, and consistently works smoothly. ### 9. Reliable monitoring tool with powerful dashboards **Rating:** 5.0/5.0 stars **Reviewed by:** Navojith Shankar G. | Information Technology Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 17, 2025 **What do you like best about Datadog?** Datadog provides an excellent all-in-one monitoring solution that gives complete visibility into infrastructure, applications, and logs. The customizable dashboards make it easy to track performance metrics in real time, and the alerting system ensures quick detection of issues. Its wide range of integrations with cloud services, databases, and tools makes it very flexible. The user interface is intuitive and easy to navigate even for new users. **What do you dislike about Datadog?** While Datadog is very powerful, the pricing can become expensive for small or growing teams as costs increase with the number of metrics and hosts. The initial setup of dashboards and integrations can also feel overwhelming due to the wide range of features available. Additionally, some advanced queries require a learning curve. **What problems is Datadog solving and how is that benefiting you?** Datadog helps us monitor applications, servers, and cloud infrastructure in real time, which allows us to quickly detect and resolve performance issues before they impact end users. It centralizes logs, metrics, and traces in one platform, making troubleshooting much faster. The alerting system has reduced downtime and improved overall system reliability, while the dashboards give clear insights for both technical and business teams. ### 10. Intuitive Interface That Makes Data Insights Effortless **Rating:** 4.5/5.0 stars **Reviewed by:** Diogo L. | Head of DevOps, Mid-Market (51-1000 emp.) **Reviewed Date:** December 18, 2025 **What do you like best about Datadog?** The user interface is very intuitive, making it easy to gain insights from the data. getting data into datadog is quite simple due to the multiple integrations, so it get's ready to use in a few clicks, support is responsive, my team uses it every day. **What do you dislike about Datadog?** In terms of cost, this platform is not inexpensive. Additionally, making bulk changes across multiple widgets is not straightforward, which can be inconvenient. **What problems is Datadog solving and how is that benefiting you?** We leverage Datadog to generate alerts and reports for our services, which helps us maintain higher uptime and gain better visibility into any issues that arise. ### 11. Powerful monitoring and observability platform **Rating:** 4.5/5.0 stars **Reviewed by:** Royal G. | System Administrator, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** September 22, 2025 **What do you like best about Datadog?** Datadog offers a comprehensive set of monitoring tools that make it easy to visualize, alert, and analyze performance metrics in real time. I particularly like how seamlessly it integrates with various cloud platforms and services. The dashboards are customizable and give great visibility into system health, which helps our team react faster to issues. **What do you dislike about Datadog?** Datadog can get expensive as usage scales, especially with multiple integrations and high data ingestion. The pricing model isn't always transparent, and configuring some advanced features can be a bit complex without strong technical knowledge or documentation. **What problems is Datadog solving and how is that benefiting you?** Datadog helps us monitor infrastructure, applications, and logs in real time, all in one place. It reduces downtime by alerting us quickly to issues and provides visibility across distributed systems. This centralized observability improves team efficiency and helps us deliver better performance to end users. ### 12. Reliable monitoring with deep insights and great integrations **Rating:** 4.5/5.0 stars **Reviewed by:** Akshay A. | DevOps Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** July 30, 2025 **What do you like best about Datadog?** Datadog provides real-time visibility into infrastructure and application performance with intuitive dashboards and robust alerting. I love how easy it is to set up monitors and correlate metrics, logs, and traces all in one place. The out-of-the-box integrations with AWS, Azure, and Kubernetes are a huge plus and save a lot of setup time. **What do you dislike about Datadog?** Pricing can ramp up quickly, especially when enabling multiple features like log management, APM, and custom metrics. The UI can feel a bit overwhelming at first, especially for new users. Some configuration options require going deep into documentation. **What problems is Datadog solving and how is that benefiting you?** Datadog helps us monitor distributed systems across our cloud infrastructure and microservices. It allows our team to identify bottlenecks, debug production issues faster, and ensure uptime through real-time alerts. By having logs, metrics, and traces in a single platform, we reduce context switching and can resolve incidents quicker, ultimately improving reliability and reducing downtime. ### 13. Ultimate tool for Log Management **Rating:** 5.0/5.0 stars **Reviewed by:** Yash M. | Senior Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 18, 2025 **What do you like best about Datadog?** Datadog does particularly well in Incident Detection. Datadog enables real-time monitoring of service health, with alerting configured via integrations like PagerDuty. This helps us quickly detect production issues, minimise downtime, and maintain SLA/SLO commitments. At Indeed, we use Datadog extensively across our engineering organisation for monitoring, incident detection, observability, and SLO management. It plays a critical role in ensuring the reliability and performance of our services, especially those with high user impact like the IRL Sign-In Tool and our GraphQL APIs. I use Datadog very frequently because it is easy to use and easy to integrate. **What do you dislike about Datadog?** The Datadog UI is powerful but can be intimidating and cluttered especially when building complex queries or nested monitors. There is a learning curve for everyone. **What problems is Datadog solving and how is that benefiting you?** Datadog does particularly well in Incident Detection. Datadog enables real-time monitoring of service health, with alerting configured via integrations like PagerDuty. This helps us quickly detect production issues, minimise downtime, and maintain SLA/SLO commitments. At Indeed, we use Datadog extensively across our engineering organisation for monitoring, incident detection, observability, and SLO management. It plays a critical role in ensuring the reliability and performance of our services, especially those with high user impact like the IRL Sign-In Tool and our GraphQL APIs. Datadog addresses several business problems at Indeed company like, 1. Incident Detection and Response Datadog enables real-time monitoring of service health, with alerting configured via integrations like PagerDuty. This helps us quickly detect production issues, minimise downtime, and maintain SLA/SLO commitments. 2. End-to-End Observability With distributed tracing, log correlation, & metrics, we can pinpoint bottlenecks or failures across our micro services particularly valuable in our Envoy mesh based architecture and coroutine heavy services. ### 14. Datadog: The best observability platform I've come across **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Leisure, Travel & Tourism | Enterprise (> 1000 emp.) **Reviewed Date:** July 01, 2025 **What do you like best about Datadog?** User-friendly dashboards, Comprehensive monitoring, Eady out of box integrations,Real time alerts and highly scalable for enterprise workloads **What do you dislike about Datadog?** Learning curve for a few features, the website may get janky and lag due to high volumes, slightly expensive **What problems is Datadog solving and how is that benefiting you?** We have a modular architecture for our systems which means a lot of microservices and cloud native applications, datadog seamlessly provides end to end observability of all the distributed systems and troubleshooting is easier with datadog, it also helps identify performance bottlenecks and with real user monitoring the issues arr identified quickly. ### 15. Very intuitive UI and powerfull integration **Rating:** 4.5/5.0 stars **Reviewed by:** Nabeel S. | Associate Cloud Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** November 26, 2024 **What do you like best about Datadog?** We have deployed Datadog for our all cloud deployments in AWS cloud. A large number of integrations allow us to literally monitor everything. From AWS cloud infra to hosted compute whether it be physical, virtual or serverless. We are using Datadog to monitor our endpoints and UI testing of the applications through synthetic tests. Deployment is super easy and quick with highly skilled support team. Datadog is one of the most frequenctly used tool in our organization and its been great. Documentation is very detailed and has improved over time allowing us to setup everything without major hurdles. **What do you dislike about Datadog?** Some features are limited when compared to compatitors. We used to monitor the infra through NewRelic which offered more visibility into the running processes but Datadog is limited when it comes to manual process monitoring. **What problems is Datadog solving and how is that benefiting you?** Visibility to monitor the infrastructure, network, applications and databases was needed to optimize cost and resource right sizing. We also needed to monitor the infra and applications to keep track of whats happening and troubleshoot issues when they arrise. Datadog has helped us in doing this and we are satified with it. ### 16. The Best Observability Tool for Cloud **Rating:** 4.5/5.0 stars **Reviewed by:** Raja A. | Engineering Manager, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** June 05, 2025 **What do you like best about Datadog?** Ease of integration with all Major Cloud Platforms. Ease of APM setup. Ease of custom dashboards and widgeting. OpenTelemetry support. AI for outlier detection, anomaly detection and correlation in a distributed microservices archtiecture. **What do you dislike about Datadog?** The docs for integrations could be more user friendly. Too many features sometimes overwhelm a casual user and distracts debugging. **What problems is Datadog solving and how is that benefiting you?** Having observability for the entire tech stack of the enterprise in one place. It acts as a single tool for all distributed developer teams to instrument metrics for their applications. ### 17. Great product, but pricing pushed us away **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Retail | Small-Business (50 or fewer emp.) **Reviewed Date:** September 20, 2025 **What do you like best about Datadog?** The breadth of integrations and ease of setup - Datadog makes it simple to get visibility across infrastructure, applications, and logs in one place **What do you dislike about Datadog?** The pricing model - costs scale quickly and unpredictably, especially with logs and additional features **What problems is Datadog solving and how is that benefiting you?** Datadog gave us strong visibility into infrastructure, applications, and logs in a single platform. It helped us detect issues faster, reduce downtime, and improve performance monitoring across teams ### 18. Datadog helps us collect important metrics necessary for monitoring AWS services **Rating:** 4.0/5.0 stars **Reviewed by:** Hector C. | Enterprise (> 1000 emp.) **Reviewed Date:** September 09, 2025 **What do you like best about Datadog?** Easy Integrations and out of the box package dashboards **What do you dislike about Datadog?** No experiences so far have been disliked **What problems is Datadog solving and how is that benefiting you?** Tracking overprovisioning of resources and providing useful optimization options ### 19. A fantastic product with nebulous billing **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Real Estate | Enterprise (> 1000 emp.) **Reviewed Date:** June 10, 2025 **What do you like best about Datadog?** A very strong monitoring an integration tool that has many integrations across the market that allow for very fast setup and usage. Generally can derive value very quickly and have a functioning setup out of the box **What do you dislike about Datadog?** Billing that can very much catch up with you quickly or billing practices that don'ty scale well into modern infra design. For example how per-host billing is done is still not very friendly to spot/dynamic workloads due to time accounting. **What problems is Datadog solving and how is that benefiting you?** Mainly application monitoring, logging, and APM/Tracing. It acts as a strong centralized tool for things like tracing, and allows cross enterprise visibility for services that span many areas. ### 20. Datadog experience **Rating:** 4.0/5.0 stars **Reviewed by:** Saravanan K. | Lead DevOps Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 10, 2025 **What do you like best about Datadog?** Datadog excels with its unified, real-time observability platform, seamlessly integrating infrastructure monitoring, APM, and log management with over 450 integrations for cloud-native and hybrid environments. Its intuitive dashboards, AI-driven insights, and scalable architecture make it ideal for teams seeking actionable performance insights with minimal setup. **What do you dislike about Datadog?** Some of the feature are premature and with not a lot of documentation **What problems is Datadog solving and how is that benefiting you?** Datadog help us monitor Databricks and logs ### 21. Pretty much the best monitoring solution. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** June 10, 2025 **What do you like best about Datadog?** Straightforward agent installation with a lot of out-of-the-box functionality. A wide range of integrations, with a lot of third-parties already contributing to the stuff that ships with the agent. Great docs and support. **What do you dislike about Datadog?** Lack of clarity on when feature requests might be considered for implementation,. **What problems is Datadog solving and how is that benefiting you?** Removes the need for us to have to stand up and run our own monitoring platform, with all the commitments that come with that. ### 22. Great product for Data quality **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Oil & Energy | Small-Business (50 or fewer emp.) **Reviewed Date:** September 09, 2025 **What do you like best about Datadog?** Precision User friendly Integrations with popular products **What do you dislike about Datadog?** Nothing specific. The product works great in conjunction with other monitoring solutions **What problems is Datadog solving and how is that benefiting you?** Data quality Streaming ### 23. Great monitor without a lot of overhead **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Mid-Market (51-1000 emp.) **Reviewed Date:** June 11, 2025 **What do you like best about Datadog?** Simplicity. Lots of effort into the AI. Huge amount of integrations. **What do you dislike about Datadog?** I have no complaints. I with cost spikes could be monitored automatically other than create your oun set of monitors. **What problems is Datadog solving and how is that benefiting you?** Mostly organizing different sources in one place ### 24. Highly Reliable Observability Tooling for Applications **Rating:** 5.0/5.0 stars **Reviewed by:** Taylor S. | Senior Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 25, 2024 **What do you like best about Datadog?** Datadog has a multitude of useful features and integrations for our applications, from metrics and monitoring, to dashboards and cost optimization. Our dedicated support team is readily available to assist us in adoption of any new features and tools for our applications. Many of the monitoring and observability tools offered by the platform are easily integrated into our applications, especially those migrated to Kubernetes. **What do you dislike about Datadog?** Some features are not as easily navigable and intuitive as one would hope; fortunately, our dedicated DataDog team is receptive to such feedback and always offers alternative solutions. **What problems is Datadog solving and how is that benefiting you?** Datadog solves many of our issues around aggregated metrics and logging, as well as the ability to trace our data completely through the system (whether that is through using native Datadog log tracing, or "in-house" log tracing). Many of our apps are deployed on Kubernetes, and Datadog provides many useful out-of-the-box features that the team can use. ### 25. Very powerful platform but can be overwhelming **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** June 10, 2025 **What do you like best about Datadog?** APM AWS Integrations Synthetic Tests Monirtors / Alerts Log Forwarder Dashboards **What do you dislike about Datadog?** Busy UI / UX Cost Transparency is lacking **What problems is Datadog solving and how is that benefiting you?** N/A ### 26. Datadog's easy to use UI and simple setup streamlined our monitoring stack. **Rating:** 4.5/5.0 stars **Reviewed by:** David G. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 21, 2024 **What do you like best about Datadog?** The UI is incredibly easy to work with. Creating widgets and dashboards is straightforward, with a wide range of tools at your disposal, plenty of templates and excellent documentation. We were able to prototype and iterate on our dashboards incredibly quickly and even complex visualisations were simple to setup. We chose Datadog to quickly spin up a centralised monitoring stack capable of sharing our metrics with our external partners. Datadog made it very easy to implement this, with a straightforward agent install and pre-built integrations with many of our existing tools (NGINX, Kubernetes, etc). Once we had metrics consumed from our agents, we were then able to share our metrics with our external partners very easy, managing this process with ease. Datadog is now a central part of both our internal and external monitoring, as such it is used on an hourly basis by everyone from heads of department to engineers to support staff - each with a specific dashboard suited to their needs. Datadog's customisability and adaptability is simply great. One of the things I have been most impressed with has been Datadog's support team. Through the UI, it is very easy to speak to customer support and the process is streamlined and effective. I have made use of this frequently both when seeking guidance on additional features and searching for support with an unplanned outage. **What do you dislike about Datadog?** The pricing model can be hard to understand, particularly when dealing with custom metrics which can be hard to account for with their varied labels/tags. It would be great to get some kind of quote calculator so we can figure out how much a change is going to cost us before we implement it. Similarly, the rolling windows within which things are calculated can make assessing cost, on anything less than a month-to-month basis, difficult. The access control for shared, external dashbaords could be improved. Currently, the Magic Link process does not give user-based access control. **What problems is Datadog solving and how is that benefiting you?** Previously, our metrics were split across a range of different services and sharing these externally with customers was complex. Datadog allowed us to centralise everything into a single system, massively reducing complexity and enabling us to give our customers oversight of the product they are paying for. Additionally, this has streamlined our internal monitoring process as well. ### 27. It does what it needs to do **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.) **Reviewed Date:** June 25, 2024 **What do you like best about Datadog?** Their adaptability. At oine point they didn't have open telemetry options for the product, but then eventually added it on a year or two later **What do you dislike about Datadog?** Pricing lol. It can get pretty heavy handed. Also support hasn't been the best compared to other products i've used in the past. **What problems is Datadog solving and how is that benefiting you?** Network and pod health. Alerting. Easy integrations. I do like the terraform provider ### 28. One of the best centralized monitoring tools, easy to implement. **Rating:** 4.5/5.0 stars **Reviewed by:** Antonio G. | Especialista Tecnico de Infraestructura Senior, Enterprise (> 1000 emp.) **Reviewed Date:** September 17, 2023 **What do you like best about Datadog?** I like the interface and the fact that DataDog continues to add new integrations, they support all major platforms, it is a great tool for DevOps/SRE, as well as for product engineering teams. Our team uses a number of DD features, we have invested heavily in dashboards and monitors, we have DD integrated with Slack and Pager Duty and it is a main source of notifications that drives actions within our Operations team. Datadog has many integrations for almost everything, it is easy to use if you want to set up the integration, especially for AWS and Kubernetes, it allows you to start monitoring your cloud infrastructure. **What do you dislike about Datadog?** I would like DataDog to have better Kubernetes metrics, the alert tools do not effectively handle pod terminations or scaling events. I would also like to have more advanced Kubernetes metrics, improved IaC options to configure DataDog. A bit more locked in lately, dd-trace is gaining a great monopoly on reliably collecting everything (traces, profiles, and now, Security (ASM)), I wish there were an open standard for that, or that you would release an open standard. **What problems is Datadog solving and how is that benefiting you?** We have full visibility of the running service and the infrastructure, we use logs/tracing for historical tracking to identify new issues and overall health. Our current implementation of DD is mainly focused on monitoring and alerting for production software and critical systems in our infrastructure. With DataDog, we have an all-in-one tracking tool, especially the centralized logging that we use to analyze failures and errors in our application. It makes it easier for us to filter specific logs, on the other hand, infrastructure monitoring makes the cloud engineer's life easier. ### 29. Datadog is perfect solution for observability and alerts **Rating:** 5.0/5.0 stars **Reviewed by:** Pavan Kumar Reddy K. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 12, 2024 **What do you like best about Datadog?** Integrations with azure services and create alerts and sent to slack **What do you dislike about Datadog?** I did not found much tutorials online and also documentation is bit confusing some times **What problems is Datadog solving and how is that benefiting you?** For alerting any issues in the service and alos monitoring system uptime. It is helping us to resolve problems as soon as their occur. It will also reduces setting our own infrastructure and maintaining ### 30. With Datadog we achieve the centralized solution for monitoring and scalability are a piece of cake **Rating:** 5.0/5.0 stars **Reviewed by:** jason d. | Lead Systems Enginner, Enterprise (> 1000 emp.) **Reviewed Date:** June 25, 2024 **What do you like best about Datadog?** The ease of use and data presentation where datapoints can be aligned across infrastructure devices. Also the OOTB integrations. **What do you dislike about Datadog?** I dont think I can think of a downside to Datadog at this time. **What problems is Datadog solving and how is that benefiting you?** Being able to visualize systems performance across multiple environments. ### 31. Consistent **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** March 12, 2024 **What do you like best about Datadog?** It can monitor most api calls and provide relevant analytics. It also alerts when there is a down situation that we need to attend to right away. For us it prevents situations from going downhill so we can address before that happens. **What do you dislike about Datadog?** Our company needs more opportunities to use the software. **What problems is Datadog solving and how is that benefiting you?** Mulesoft monitoring Integrations to cloud do not require difficult to maintain custom solutions. ### 32. Improve your developer experience **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Medical Devices | Enterprise (> 1000 emp.) **Reviewed Date:** June 25, 2024 **What do you like best about Datadog?** So many integrations all in one place, Datadog allows you to see everything and anywhere. **What do you dislike about Datadog?** The pricing is a bit hard to take, since you have to convice those with pursestrings that it is about value and not cost. **What problems is Datadog solving and how is that benefiting you?** It provides confidence that I'm seeing the full picture. ### 33. Overall an amazing and complete product **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Publishing | Enterprise (> 1000 emp.) **Reviewed Date:** June 25, 2024 **What do you like best about Datadog?** I like that almost everything is possible, if it does not come out of the box, it is possible to do your own custom checks or integrations. **What do you dislike about Datadog?** Agent installer is slow and heavy. Slow on updating the agent installer in matter of security patches. **What problems is Datadog solving and how is that benefiting you?** Overall a complete package ### 34. Great correlation between metrics, logs, RUM **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Investment Management | Mid-Market (51-1000 emp.) **Reviewed Date:** June 25, 2024 **What do you like best about Datadog?** Correlating metrics, ease of creation of monitors/alerts, existing integrations easy to set up, lambda layers. **What do you dislike about Datadog?** Some documentation difficult to parse, many ways to perform same functionality for instrumenting metrics, costly logs, query customization is very difficult **What problems is Datadog solving and how is that benefiting you?** Observability, correlating metrics, User Monitoring, logs aggregration ### 35. Best observability tool **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Small-Business (50 or fewer emp.) **Reviewed Date:** June 25, 2024 **What do you like best about Datadog?** Easy and powerful integrations with technology **What do you dislike about Datadog?** documentation is lacking an updating mechanism. **What problems is Datadog solving and how is that benefiting you?** Having real time metrics and kpi to better focus my goals ### 36. Datadog aka DD for monitoring systems at scale **Rating:** 4.0/5.0 stars **Reviewed by:** Amit K. | Software architect, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** March 07, 2023 **What do you like best about Datadog?** So many Out of the box integrations which makes monitoring almost your entire tech stack is super fast easy and easy. For example, earlier I was part of the search team and was managing 25+ large Elasticsearch clusters and Elasticsearch as a software has its own specialized metrics which we need to monitor and get alerted. We didn't have to do anything with Datadog(DD) as Datadog already had a Out of the box integration with Elasticsearch and documentation for same can be easily found on google for ex: https://docs.datadoghq.com/integrations/elastic/?tab=host This made our life super easy as we can just start monitoring large system without much configuration. **What do you dislike about Datadog?** Out of the box integrations are good but when you need to add more metrics which are not available, it requires a effort and sometime their documents can be confusing and outdated esp. with Out of the box integration where that software is changing rapidly. Second it can be costly if you need to monitor large systems and is tight on the budget. **What problems is Datadog solving and how is that benefiting you?** building end to end observability platform and it helps software companies to build and run software with insights and confidence. ### 37. Platform for monitoring and analytics features in real-time **Rating:** 4.5/5.0 stars **Reviewed by:** Patrícia P. | QA Automation Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** March 12, 2023 **What do you like best about Datadog?** Datadog is a widespread cloud-based monitoring and analytics platform that provides real-time visibility into the performance of applications, infrastructure, and logs. Some key benefits of using Datadog include the following: it allows users to collect and correlate data from various sources, sends alerts based on user-defined thresholds, provides customizable dashboards that enable users to visualize data and gain insights into the health and performance of their systems, and supports a wide range of integrations (such as AWS, Docker and Kubernetes). **What do you dislike about Datadog?** The learning curve for Datadog can be steep, especially for those new to monitoring and analytics. Additionally, the pricing is relatively high compared to other similar tools. **What problems is Datadog solving and how is that benefiting you?** Datadog provides real-time monitoring and alerting for various system components, including servers, applications, databases, and networks. This helps users quickly detect and troubleshoot issues, improving their systems' overall health and performance. Also, Datadog allows multiple teams to collaborate and share data, making troubleshooting issues and identifying trends across various system components easier. ### 38. Much more than just logging **Rating:** 4.0/5.0 stars **Reviewed by:** Shaul A. | VP Projects, Small-Business (50 or fewer emp.) **Reviewed Date:** December 11, 2022 **What do you like best about Datadog?** I was impressed with the integrations part of DataDog. Our main goal was to centralize activity and audit logs of critical systems in our organization. We were able to integrate most of our systems in a matter of hours: JumpCloud, Gsuite, Azure, Google Cloud Platform, Auth0 and more. The instructions were easy to follow, and an integration usually takes only a few minutes. **What do you dislike about Datadog?** Log parsing could be improved. The logging format is not standard across machines when you have multiple devices with different OS. If you want standardization, you must set up pipelines to ingest and parse the logs, which I found a bit tedious. **What problems is Datadog solving and how is that benefiting you?** Our motivation for choosing DataDog was security and compliance. We are using DataDog as our Siem: our logs are centralized, we keep track of our IS KPIs, and we set up monitoring and alerts as needed. ### 39. Powerful and comprehensive monitoring platform **Rating:** 5.0/5.0 stars **Reviewed by:** Rakesh N. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 09, 2023 **What do you like best about Datadog?** 1. Comprehensive Monitoring 2. Easy to Use 3. Powerful Analytics 4. Integrations 5.Customizable Alerts **What do you dislike about Datadog?** Steep Learning Curve: While the platform is generally easy to use, the learning curve for more advanced features is steep. **What problems is Datadog solving and how is that benefiting you?** Datadog also helps our organisation optimise services performance by providing real-time visibility into application performance and infrastructure metrics. This allows our teams to quickly identify and resolve performance issues, improving the user experience and minimising business impact. ### 40. much more than what is seen **Rating:** 5.0/5.0 stars **Reviewed by:** James D. | CEO, Management Consulting, Mid-Market (51-1000 emp.) **Reviewed Date:** March 08, 2023 **What do you like best about Datadog?** It has a number of integrations that make it easy to work with. its use tools are powerful in market monitoring Constant monitoring allows us to have control of all our services their customer service is very professional when required of them **What do you dislike about Datadog?** A very professional quality of service has been maintained where I have not had any problem that is not resolved quickly and in a timely manner. **What problems is Datadog solving and how is that benefiting you?** Supervision from the cloud makes it possible to have perfect monitoring that everything is going well and that all the work is going correctly from the datadog facility ### 41. Powerful but huge learning curve **Rating:** 3.5/5.0 stars **Reviewed by:** Susannah G. | Engineering Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** February 14, 2023 **What do you like best about Datadog?** Datadog is extremely powerful and has extensive documentation. Some of the UI is very user-friendly. The customer service has been incredibly helpful with setup, integrations, and troubleshooting. **What do you dislike about Datadog?** Datadog is so large that to new users it can be overwhelming. At times it felt that even to read documentation or do setup you already needed to be an expert. I still don't quite have a hand on the query language for creating metrics; I tend to reverse engineer those from dashboards. **What problems is Datadog solving and how is that benefiting you?** More extensive observability with tracing, and the ability to consolidate all of our monitors into one service instead of having them scattered through other services. ### 42. Pretty good out of the box solution, but it comes with a price. **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** September 02, 2022 **What do you like best about Datadog?** Lots of out of the box integrations, overall good usability. Cover a big range of necessary observability for your applications and all integrated in one platform. **What do you dislike about Datadog?** Pricing is pretty high (you pay more to monitor a small k8s ec2 node than the ec2 itself), and I found it hard to pick what you want to measure using Kubernetes integration granularly. Sometimes it is hard to understand how your billing is calculated, and it also charges you multiple times for "same stuff" since it cannot automatically detect integrations. (Ex.: you are charged for AWS node monitoring + k8s node monitoring of the same ec2 instance!). Didn`t like the commercial support either; they only care until they sell it to you. **What problems is Datadog solving and how is that benefiting you?** Observability and traceability of cloud microservices. With its comprehensive set of tools and integrations, it enables end-to-end monitoring of your stack. ### 43. Datadog is an Awesome tool to monitor and analyze your logs, metrics in graphical format. **Rating:** 5.0/5.0 stars **Reviewed by:** ganesh P. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 08, 2023 **What do you like best about Datadog?** They have the best UI/Interface to build dashboards and compare data metrics with each other. **What do you dislike about Datadog?** They are not up to the mark when it comes to 3rd party integrations. **What problems is Datadog solving and how is that benefiting you?** They are solving all the problems regarding monitoring our cloud environment and helping us to arrive at concurrent decisions in a faster way. ### 44. Datadog is a great tool for multi-environment log aggregation **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** October 02, 2022 **What do you like best about Datadog?** Grat User Interface (UI), easy to set up and configure, and plenty of integrations with cloud and on-prem solutions. Granular control over the ingested data. Flexible licensing scheme. **What do you dislike about Datadog?** Data normalization and unstructured log ingestion require time and effort. Role-Based Access Control (RBAC) is not available out of the box and requires a ticket to the Support team. Despite RBAC, access granularity is hard to achieve, especially in an organization with small Site Reliability Engineering teams. **What problems is Datadog solving and how is that benefiting you?** Datadog is excellent at dashboarding, alerts and notifications. Alerts can be sent to messaging tools like Slack, MS Teams, SMS as well as email. It is easy to set up and delegate to other team members. Compared to the competition, I think Datadog has the lowest Return Of Investment (ROI) score. ### 45. Great tool for application & infrastructure monitoring **Rating:** 4.5/5.0 stars **Reviewed by:** Shubham D. | Management Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** July 19, 2022 **What do you like best about Datadog?** DataDog works as a excellent central resource to manage and monitor all our applications and infrastructure. The best thing about DataDog is that it's quite easy to use and user-friendly along with being a total value for money. Also, it has excellent support and learning resources to be utilized by everyone. **What do you dislike about Datadog?** Some of the integrations and connections docs for setting up are outdated and not very to understand for anyone who is new. The process of setting it up will require you to get in touch with the support team several times. However, they are quite quick and happy to assist as and when needed. **What problems is Datadog solving and how is that benefiting you?** The best benefit we've got is the real-time alert on issues of any kind which helps us manage the downtime and the errors. To ensure everything is working as intended, you have complete visibility of the apps. Also, it has great visualizations to be used within the platform. ### 46. Best centralized monitoring tool for everything **Rating:** 5.0/5.0 stars **Reviewed by:** Anatolij N. | DevOps Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 19, 2022 **What do you like best about Datadog?** Datadog has many integrations for almost everything. It's easy to use if you want to configure the integration. Especially for AWS and Kubernetes, it allows you to start to monitor your cloud infrastructure. **What do you dislike about Datadog?** Especially for a long time, the cost overview for Datadog usage was very intransparent. Maybe it will be easier with the new Cost Management feature of Datadog. **What problems is Datadog solving and how is that benefiting you?** With Datadog, we have all-in-one monitoring tool. Especially centralized logging we are using for analyzing the bugs and errors of our application. It makes us easier to filter specific logs. On the other side infrastructure monitoring makes the life of Cloud engineer easier ### 47. Full stack Monitoring **Rating:** 4.0/5.0 stars **Reviewed by:** AT W. | Freelance DevOps Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 18, 2022 **What do you like best about Datadog?** I like the interface and the fact that datadog continues to add new integrations. They support all the major platforms. It is a great tool for DevOps/SRE as well as product engineering teams **What do you dislike about Datadog?** I would like to have datadog hand kubernetes metrics better. The alerting tools do not handle pod terminations or scaling events effectively. I would also like more advance kubernetes metrics. Improved iac options for configuring datadog **What problems is Datadog solving and how is that benefiting you?** Full visibility into the service running as well as the infrastructure. We use the logs / tracing for historical tracking to identify new issues and over all health ### 48. Great SaaS monitoring solution available in the market that supports several platforms **Rating:** 5.0/5.0 stars **Reviewed by:** Nitish Chandu O. | Senior Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** February 16, 2022 **What do you like best about Datadog?** Datadog has so many integrations available, making it easy to use for AWS, Azure, GCP, On-prem, containers, serverless, and many more. The process to create monitors and dashboards is simple, helping the OPS team to implement the monitoring in quick time. The solution is excellent for application monitoring, as it supports monitoring using traces. Notification in Datadog is excellent as it integrates with Service-Now, Slack bringing immediate attention of the users. **What do you dislike about Datadog?** The support from Datadog is something I see to be improved, as they deal with tickets only on emails. The support team doesn't connect over calls for troubleshooting, and there is no proper escalating process causing a delay in fixing monitoring issues. **What problems is Datadog solving and how is that benefiting you?** Our team got more productive in terms of identifying and fixing issues upon leveraging Datadog as the monitoring tool for - infrastructure services that include disk, CPU, memory, uptime, network IN, etc - application metrics like service availability - certificate expiries - monitoring the log files with specific errors - synthetics that helped us monitor the availability of application URLs ### 49. Great SaaS monitoring tool **Rating:** 3.5/5.0 stars **Reviewed by:** Lakshit K. S. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 05, 2022 **What do you like best about Datadog?** It is supported by every cloud solution with excellent integrations and documentation that is relatively easy and accurate. **What do you dislike about Datadog?** The price is a little bit high as seen from an individual or a startup perspective but it does its job amazingly, it's actually worth the money you spend. **Recommendations to others considering Datadog:** If you haven't applied any monitoring tool for your website or application, you must do this asap. **What problems is Datadog solving and how is that benefiting you?** - Monitoring and keeping track of data in amazingly visualized forms such as graphs and tables are quite easy to understand and take action on it. - Multiple applications can be configured on the same platform as it is quite easily accessible too. ### 50. Enterprise grade monitoring with Datadog **Rating:** 4.0/5.0 stars **Reviewed by:** Avinash U. | DevOps Engineer-I, Enterprise (> 1000 emp.) **Reviewed Date:** January 14, 2022 **What do you like best about Datadog?** Having a single platform for monitoring all kinds of infrastructure is helpful. Datadog has excellent support and learning resources to get started with monitoring our application/infrastructure. There are integrations for almost all types of cloud or on-premise infrastructure and applications. The system is resilient with no issues in terms of performance or outages. The log management and tracing is very convenient using Datadog with features like retention, backup, formatting, and RBAC. **What do you dislike about Datadog?** The documentation for a few integrations is outdated and not always straightforward. You'll have to reach out to support quite a few times while setting it up. While creating new dashboards, it is not autosaved or even suggested for saving, which is a huge pain point if not known earlier. **What problems is Datadog solving and how is that benefiting you?** We used Datadog for monitoring our infrastructure, logs, and traces, along with monitoring our real users through the UI. It has excellent features for an end to end monitoring once set up correctly and provides a holistic view of our entire infrastructure, helping us debug issues quickly. ## Datadog Discussions - [Does it preserves history of logs?](https://www.g2.com/discussions/15058-does-it-preserves-history-of-logs) - 1 comment, 1 upvote - [Does Datadog use AWS?](https://www.g2.com/discussions/does-datadog-use-aws) - 2 comments - [What is the use of Datadog?](https://www.g2.com/discussions/what-is-the-use-of-datadog) - 3 comments - [View Datadog pricing details and edition comparison](https://www.g2.com/products/datadog/reviews?filters%5Bkeyphrases%5D=integrations&utf8=%E2%9C%93§ion=pricing&secure%5Bexpires_at%5D=2026-07-07+11%3A45%3A46+-0500&secure%5Bsession_id%5D=8c40dc73-2f2f-44a2-9f46-8e5ca59e27ca&secure%5Btoken%5D=9a16efd66ea22d9c8a29fca984f9d58866f68dc35af409af5cdbcb39afcec966&format=llm_user) ## Datadog Integrations - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews) - [Amazon EC2](https://www.g2.com/products/amazon-ec2/reviews) - [Amazon Elastic Container Service (Amazon ECS)](https://www.g2.com/products/amazon-elastic-container-service-amazon-ecs/reviews) - [Amazon Elastic Kubernetes Service (Amazon EKS)](https://www.g2.com/products/amazon-elastic-kubernetes-service-amazon-eks/reviews) - [AWS Cloud Development Kit (AWS CDK)](https://www.g2.com/products/aws-cloud-development-kit-aws-cdk/reviews) - [AWS CloudFormation](https://www.g2.com/products/aws-aws-cloudformation/reviews) - [AWS Lambda](https://www.g2.com/products/aws-lambda/reviews) - [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) - [Azure Portal](https://www.g2.com/products/azure-portal/reviews) - [Bitbucket](https://www.g2.com/products/bitbucket/reviews) - [Claude](https://www.g2.com/products/claude-2025-12-11/reviews) - [Cloudflare Application Security and Performance](https://www.g2.com/products/cloudflare-application-security-and-performance/reviews) - [Codex](https://www.g2.com/products/openai-codex/reviews) - [Cursor](https://www.g2.com/products/cursor/reviews) - [GitHub](https://www.g2.com/products/github/reviews) - [Google Cloud Console](https://www.g2.com/products/google-cloud-console/reviews) - [Google Cloud Storage](https://www.g2.com/products/google-cloud-storage/reviews) - [Jam.dev](https://www.g2.com/products/jam-dev/reviews) - [Jira](https://www.g2.com/products/jira/reviews) - [Jira Cloud for Sheets](https://www.g2.com/products/jira-cloud-for-sheets/reviews) - [Kubernetes](https://www.g2.com/products/kubernetes/reviews) - [Linear](https://www.g2.com/products/linear/reviews) - [Microsoft Teams](https://www.g2.com/products/microsoft-teams/reviews) - [Mixpanel](https://www.g2.com/products/mixpanel/reviews) - [PagerDuty](https://www.g2.com/products/pagerduty/reviews) - [Pusher](https://www.g2.com/products/pusher/reviews) - [RabbitMQ](https://www.g2.com/products/rabbitmq/reviews) - [Rippling](https://www.g2.com/products/rippling/reviews) - [Rootly](https://www.g2.com/products/rootly/reviews) - [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews) - [ServiceNow IT Service Management](https://www.g2.com/products/servicenow-it-service-management/reviews) - [Slack](https://www.g2.com/products/slack/reviews) - [Splunk On-Call](https://www.g2.com/products/splunk-on-call/reviews) - [SyMetric](https://www.g2.com/products/symetric/reviews) ## Datadog Features **Operations** - Scheduling - Automation - Multi-Cloud Management - Usage Monitoring **Functionality** - Baseline - Alerting - Multi-Site Monitoring - Reporting - Multi-Channel Alerting - Location Insights **Experience** - Real-Time Monitoring - Session Replay - Behavioral Analysis **Functionality** - Monitoring - Alerting - Logging - Response Time - Reporting - Data Visualization **Functionality** - Performance Monitoring - Alerting - Improvement Suggestions - Multi-Network Capability **Monitoring** - Usage Monitoring - Database Monitoring - API Monitoring - Real-Time Monitoring - Cloud Infrastructure Monitoring - Security and Compliance Monitoring **Automation** - Artificial Intelligence & Machine Learning - Continuous Analysis **Functionality** - Artificial Intelligence - Machine Learning - Systems Monitoring **Visibility** - Dashboards and Visualizations - Alerts and Notifications - Reporting **Visibility ** - Dashboards and Visualizations - Alerts and Notifications - Reporting **Functionality** - Diverse Systems Monitoring - Real-Time Analytics - Observability - AI/ML Integration **Data Sources** - Pre-Built Connectors - API - Performance and Stability **Device Recognition** - Device Discovery - Device Types - Dashboard **Data Preparation** - Data Sources - Indexing - Automated Tagging - Data Blending **Monitoring** - Performance Baselines - Performance Analysis - Performance Monitoring - AI/ML Assistance - Multi-System Monitoring **Alerts management** - Multi-mode alerts - Opimization alerts - Incident alerts **Generative AI** - AI Text Generation **Data Management - Observability Pipeline** - Data Storage - Data Optimization and Reduction - Data Migration - Log Context Enrichment - Data Format Transformation **Monitoring - Network Monitoring** - 360-Degree Network Visibility - Automated Network Discovery - Real-Time Monitoring **Telemetry Collection & Ingestion - Observability** - Multi-Telemetry Ingestion - OpenTelemetry Support **Agentic AI - Digital Experience Monitoring (DEM)** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Agentic AI - Observability Software** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Network Management** - Activity Monitoring - Asset Management - Log Management **Cost Optimization** - Spend Forecasting and Optimization - Recommendations - Spend Tracking **Management** - Content Management - Alerts - Budget Analysis **Management** - Performance Baseline - Data Visualization - Path Analysis **Administration** - Activity Monitoring - Multi-Cloud Management - Automation - Auto-Scaling & Resource Optimization **Functionality** - Multi-Network Capability - Anomaly Detection - Network Visibility - Scalability **Issue Resolution** - Root Cause Identification - Proactive Identification **Monitoring and Management** - Automation - Performance Baseline - Real-Time Monitoring **Monitoring and Management** - Multi-Server Management - Automation - Performance Baseline - Real-Time Monitoring - Immediate Alert Notification - Proactive Server Monitoring Software **Management** - Single Pane of Glass - Dashboards and Visualization - Performance Baselines - Alerting **Analytics** - Queries - Dashboards - Visualizations - Insights **Monitoring** - Device Status - Alerts & Notifications - Analytics **Analysis** - Track Trends - Detect Anomalies - Metric and Event Data - Search - Alerts - Live Tail **Response** - Dashboards and Visualization - Incident Alerting - Root Cause Analysis (RCA) **Monitoring** - Resource utilization - Real-time monitoring - Performance baseline - API monitoring **Performance - Observability Pipeline** - Cost Reduction - Pipeline Visualization - Platform Agnostic Integration **Analytics - Network Monitoring** - Predictive Performance Analytics - Packet & Flow Analysis **Visualization & Dashboards - Observability** - Service Dependency Mapping - Unified Dashboard - Trace Visualization **Agentic AI - IT Alerting** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Agentic AI - Website Monitoring** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Agentic AI - Database Monitoring** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Automation** - Resolution automation - Automation **Incident Management** - Event Management - Automated Response - Incident Reporting **Administration** - Reporting - Dashboards and Visualizations - Compliance **Performance** - Uptime Monitoring - Performance Monitoring - Issue Tracking - Resource Monitoring **Analysis** - Reporting - Dashboards and Visualizations **Incident Management** - Incident Logs - Incident Alerts - Incident Reporting **Management** - System Integration - Alerting - Reporting **Metrics** - Device Performance - Operational Performance - Environmental Conditions - Resource Usage **Provisioning** - Remote Configuration - Event Triggering **Visualization** - Dashboards - Data Discovery **Cloud environment support** - Server Monitoring For Cloud Deployments - Software Scaling **AI - Observability Pipeline** - Root Cause Analysis - Alert Fatigue Reduction - Anomaly Detection **Security - Network Monitoring** - Encrypted Data Transmission - Zero Trust and Identity Management - Integrated Network Security **Correlation & Root Cause Analysis - Observability** - Cross-Telemetry Correlation - Root Cause Detection - Intelligent Alerting **Agentic AI - Application Performance Monitoring (APM)** - Autonomous Task Execution - Cross-system Integration - Adaptive Learning - Proactive Assistance - Decision Making **Agentic AI - Log Monitoring** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Agentic AI - Enterprise Monitoring** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Security Intelligence** - Threat Intelligence - Vulnerability Assessment - Advanced Analytics - Data Examination **Analysis** - Search - Reporting - Visualization - Track trends **Generative AI** - AI Text Generation - AI Text Summarization **Compliance - Observability Pipeline** - Compliance Maintenance - Sensitive Data Detection **Network Performance - Network Monitoring** - Dynamic Network Optimization - Automated Tasks Routing **Scalability & Ecosystem Integration - Observability** - Kubernetes Monitoring - Hybrid/Multi-Cloud Support **Agentic AI - Security Information and Event Management (SIEM)** - Autonomous Task Execution - Multi-step Planning - Proactive Assistance - Decision Making **Agentic AI - Cloud Cost Management** - Autonomous Task Execution - Proactive Assistance - Decision Making **Agentic AI - Log Analysis** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Agentic AI - Cloud Infrastructure Monitoring** - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Agentic AI - Server Monitoring** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Issue Resolution** - Root cause identification - Resolution guidance - Proactive identification **AI Automation - Network Monitoring** - Machine Learning-Based Anomaly Detection - Self-Healing Networks - Predictive Network Maintenance **AI Features - Observability** - Predictive Insights - AI-Generated Incident Summaries - AI Anomaly Detection **Agentic AI - AIOps Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Agentic AI - Observability Pipeline** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **AI Automation - Cloud Infrastructure Monitoring** - AI-Powered Anomaly Detection - AI-Driven Insight Recommendations **Agentic AI - Network Monitoring** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Performance** - Real User Monitoring (RUM) - Second by Second Metrics **Functionality** - Synthetic Monitoring - Dynamic Transaction Mapping - Cloud Observability ## Top Datadog Alternatives - [Dynatrace](https://www.g2.com/products/dynatrace/reviews) - 4.5/5.0 (1,231 reviews) - [IBM Instana](https://www.g2.com/products/ibm-instana/reviews) - 4.4/5.0 (468 reviews) - [Checkmk](https://www.g2.com/products/checkmk/reviews) - 4.7/5.0 (291 reviews)