# Datadog Reviews
**Vendor:** Datadog  
**Category:** [Enterprise Monitoring Software](https://www.g2.com/categories/enterprise-monitoring)  
**Average Rating:** 4.4/5.0  
**Total Reviews:** 700
## 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 appreciate the **ease of use** of Datadog, enjoying intuitive dashboard creation and seamless integration. (145 reviews)
- Users appreciate the **easy-to-use monitoring capabilities** of Datadog, enhancing their overall experience and efficiency. (144 reviews)
- Users appreciate the **real-time monitoring** capabilities of Datadog, enabling comprehensive insights and swift alerts for efficient operations. (122 reviews)
- Users appreciate the **user-friendly interface and robust features** of Datadog, enhancing monitoring and integration capabilities. (93 reviews)
- Users appreciate the **intuitive dashboard creation** in Datadog, enhancing their experience with seamless integration and usability. (88 reviews)
- Users value the **wide range of integrations** in Datadog, simplifying service monitoring and enhancing usability. (86 reviews)
- Log Management (82 reviews)
- Monitoring Features (78 reviews)
- Users appreciate the **easy integrations** of Datadog, enhancing efficiency with extensive support for various applications. (77 reviews)
- Visibility (73 reviews)

**What users dislike:**

- Users find Datadog's pricing **too expensive** , suggesting it should be more affordable for its value. (92 reviews)
- Users find the **learning curve steep** , as many features can be overwhelming for newcomers to navigate effectively. (73 reviews)
- Users find the **pricing issues** problematic, as costs can escalate rapidly and are perceived as too high. (71 reviews)
- Users find the **costs to be excessively high** , especially due to unpredictable scaling with logs and features. (65 reviews)
- Users experience a **steep learning curve** with Datadog, finding setup and usage challenging 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. (51 reviews)
- Steep Learning Curve (42 reviews)
- Limited Features (39 reviews)
- Complex Configuration (36 reviews)

## Datadog Reviews
  ### 1. 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.

  ### 2. All-in-One Observability That Speeds Up Root Cause Analysis

**Rating:** 5.0/5.0 stars

**Reviewed by:** Emilio G. | Python developer, Enterprise (> 1000 emp.)

**Reviewed Date:** March 05, 2026

**What do you like best about Datadog?**

I like the concept overall, the system that tracks every data point your applications provide and you can collect and analyse it in a single space.

It basically allows to find the root cause of issues much faster as you are able to correlate data from different sources (server load, logs, network performance etc.)

And because of all those data agregated in one place you can setup notifications based on multiple metrics together, not just one. Or even do something with webhook.

**What do you dislike about Datadog?**

I personally don't really enjoy Datadog's interface, it does look modern and UI elements are small, but I don't have any other complaints so far.

**What problems is Datadog solving and how is that benefiting you?**

Datadog allows to identify what caused some problem fast, closely monitor systems with useful notifications that based on multiple metrics, and improve and analyse performace of applications I manage.

  ### 3. Powerful Dashboards and Fast AWS Setup, but Pricing and Complexity Can Surprise

**Rating:** 3.5/5.0 stars

**Reviewed by:** Sabina K. | IT Operations Manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 21, 2026

**What do you like best about Datadog?**

The dashboards in Datadog are truly impressive. Drag and drop widgets, and graphs allow you to create a monitoring view within minutes, without any code. The AWS integration itself only took under 15 minutes and began immediately to pull in EC2, RDS, and Lambda metrics. Watchdog, an automatic feature of Datadog, identifies anomalies in your metrics and presents them without you needing to establish a manual threshold on all metrics.

**What do you dislike about Datadog?**

Datadog is costly, and the expenses may increase quicker than you anticipate. Pricing depends on the number of hosts and features turned on and these numbers can quickly increase with the size of your infrastructure. There are numerous functions available in the platform that new users are easily lost. Documentation is comprehensive, but decentralized, and locating the appropriate guide to your particular configuration (such as tracing a Node.js application on ECS with custom logs) takes an excessive amount of searching.

**What problems is Datadog solving and how is that benefiting you?**

There is no longer a need to switch between different tools to view logs, metrics, and traces, as all are in a single location. This reduces the time to investigate during an incident, and the whole stack just connects with no custom code, providing us with a clear view of how everything works together using features like the Service Map. the Watchdog AI is able to identify anomalies automatically and can spot an issue hours before it can start causing real damage..

  ### 4. 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.

  ### 5. Datadog as a Single Source of Truth for Metrics, Traces, and Logs

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Computer & Network Security | Enterprise (> 1000 emp.)

**Reviewed Date:** March 29, 2026

**What do you like best about Datadog?**

What I like most about Datadog is that it can act as a single source of truth for our entire stack, helping break down the silos between infrastructure metrics, APM, and log management. During an incident, instead of jumping between three different tools, my team can quickly pivot from a spiked CPU metric to the relevant trace and the corresponding logs in just a couple of clicks.

**What do you dislike about Datadog?**

The learning curve is pretty steep. Since Datadog has expanded into so many areas (Security, CI Visibility, Real User Monitoring), the UI can feel cluttered and overwhelming—especially for new team members. On top of that, the cost of log indexing and retention is a major hurdle. I like the 'Logging without Limits' concept in theory, but the price gap between ingesting logs and actually being able to search them (indexing) forces us to make tough decisions about what data to keep.

**What problems is Datadog solving and how is that benefiting you?**

By combining APM with Quality Gates, we’ve been able to automate our safety checks. We can now clearly see the direct impact each deployment has on our core web vitals and error rates.

  ### 6. DataDog Delivers Deep, Reliable Visibility Across AWS and GCP

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.)

**Reviewed Date:** March 26, 2026

**What do you like best about Datadog?**

We use DataDog primarily for infrastructure monitoring across EC2 instances, EKS clusters, and more. It gives us full visibility into the critical systems we run, mainly on AWS and GCP. “Very functional” is the best way I can describe it, and it consistently provides deep insights into the systems and resources we operate across both services.

**What do you dislike about Datadog?**

I think the setup can be a bit complex, and you may need an understanding of things like agents. I also feel it would be better if there were an easier way to cover more of the resources, because setting up the agents wasn’t very straightforward. On top of that, there are quite a lot of monitoring services, so it can get overwhelming pretty quickly.

**What problems is Datadog solving and how is that benefiting you?**

Monitoring, visibility, and observability have been a big focus for us. The core AWS and GCP alerting services aren’t really easy to get up and running, and with so many different services we needed eyes on, we wanted everything in one central system. DataDog really solved that for us.

  ### 7. Essential for Accurate Logging and Issue Resolution

**Rating:** 4.5/5.0 stars

**Reviewed by:** Modi M. | Product Specialist, Mid-Market (51-1000 emp.)

**Reviewed Date:** March 23, 2026

**What do you like best about Datadog?**

I use Datadog to check logs and audits, and I appreciate how it shows the timestamps of logs and events, which makes communication with the customer easy and allows our engineering team to fix issues faster. I like the RUM logs and replay sessions because the RUM logs provide an accurate log of success and failures, which helps escalate with the engineering team to fix issues, and the replay session allows us to see how the user interacted with the UI.

**What do you dislike about Datadog?**

The UI seems cluttered at times with too many elements. It might be better if there were organized sections to easily access information. For example, if there are device-specific details, they should be under a section labeled 'device' where all related details and geolocations can be found. Also, it took some time to get a hang of it initially.

**What problems is Datadog solving and how is that benefiting you?**

Datadog shows log timestamps and events, easing customer communication and speeding issue resolution. RUM logs provide accurate success and failure reports for the engineering team, while replay sessions reveal user interactions with the UI.

  ### 8. 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.

  ### 9. 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.

  ### 10. Unified Monitoring (APM) That Accelerates Issue Diagnosis and Incident Resolution

**Rating:** 4.5/5.0 stars

**Reviewed by:** Gregory D. | Cybersecurity, Compliance and Data Protection Officer, Electrical/Electronic Manufacturing, Small-Business (50 or fewer emp.)

**Reviewed Date:** December 18, 2025

**What do you like best about Datadog?**

Datadog brings infrastructure, applications, logs, and security signals together in one place, which makes it much easier to understand what is really happening in an environment and to move quickly from detection to action. The correlation between metrics, traces, and logs is particularly valuable when diagnosing incidents, as it reduces guesswork and speeds up root cause analysis.

**What do you dislike about Datadog?**

While Datadog is extremely powerful, it can become difficult to control and predict costs in large or rapidly changing environments, particularly when ingesting high volumes of logs, metrics, and traces. Without strong governance and regular tuning, usage can grow quickly and lead to unexpected spend.

In addition, the breadth of features can sometimes feel overwhelming. Teams need time and clear ownership to configure dashboards, alerts, and monitors properly; otherwise, there is a risk of noise, alert fatigue, or under-utilisation of the platform’s capabilities.

**What problems is Datadog solving and how is that benefiting you?**

Datadog helps us centralise logs and monitor our Java applications and APIs, and provides APM (Application Performance Monitoring) to quickly detect performance issues and troubleshoot incidents or bottlenecks.

  ### 11. Empowers Confident Monitoring and Insightful System Analysis

**Rating:** 4.5/5.0 stars

**Reviewed by:** CJ E. | Observability Platform Developer II, Mid-Market (51-1000 emp.)

**Reviewed Date:** December 17, 2025

**What do you like best about Datadog?**

Datadog is a powerful tool that gives us greater confidence in our company's systems and enhances our ability to detect outages. It offers a wide range of features, most of which we actively use. Datadog provides essential insights into our systems, which helps us investigate problems, identify issues, and monitor performance, these being just a few of the ways we rely on Datadog.

**What do you dislike about Datadog?**

The cost is one of Datadog's biggest drawbacks, there are some products that would be helpful to use but the cost makes them impractical. The cost of Mobile App Testing testing comes to mind as an example for this.
Additionally, we have experienced some frustration due to pricing changes. Our previous SKUs were grandfathered, but we were eventually required to switch to the newer, more expensive SKU pricing.

**What problems is Datadog solving and how is that benefiting you?**

Datadog helps gives our company confidence in knowing that our systems are being monitored and that issues can be detected and addressed by our observability team promptly. We also use the information collected in Datadog to assess the overall health of our systems and drive investigations for any issues detected.

  ### 12. Effortless Monitoring Across Platforms with Datadog

**Rating:** 4.5/5.0 stars

**Reviewed by:** Pavan kumar S. | Cloud Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** November 26, 2025

**What do you like best about Datadog?**

A lot to consider about Datadog: mainly, it is used to monitor a wide range of applications and infrastructure. Application monitoring for container-based, server-based, and web-based applications. Also the it reduces the human effort for checking the exact error.

It is easy to use and supports different kinds of platforms like AWS, Azure, and GCP. Installation is very easy. Datadog provides all the required documents for integrating the agent. We can use the predefined dashboard templates many times, which is a lifesaver if we have repeated monitoring services.

Large-scale monitoring services and tracking are very easy, and the UI is clean, and we can find every service and access the running process via UI as well.

**What do you dislike about Datadog?**

There are only a few things that I was not satisfied with Datadog, those are.
Cost is somewhat high; we have to pay even we utilize the resources or not. 

And the main con is the customer support; they only deal via email, and we have to dump the log data into their storage. They first analyse the logs and come back to us; it will typically take 24-36 hours, which has an impact on the clients. Also, they only come on a call on production issues.

**What problems is Datadog solving and how is that benefiting you?**

Wide range, like we need to sit in front of the servers or app all the time. If there is any error, it will send an email or notifications regarding the error. So no need to worry.

  ### 13. Unmatched Observability and AI Insights, Lightning-Fast Setup

**Rating:** 5.0/5.0 stars

**Reviewed by:** Ajay V. | Product Manager, Financial Services, Enterprise (> 1000 emp.)

**Reviewed Date:** November 26, 2025

**What do you like best about Datadog?**

Datadog gives us a single observability layer that ties metrics, logs, traces, and AI-driven insights together. What I like most is how fast it is to instrument new services, define custom metrics, and build dashboards that actually help teams make decisions. We also use Datadog extensively for deploying internal AI agents—its event streams, log ingestions, and metric pipelines make it easy to create intelligent triggers and automated workflows.
The correlation between logs → metrics → alerts is incredibly powerful, and the AI-based anomaly detection has helped us reduce blind spots in our observability stack.

**What do you dislike about Datadog?**

The biggest drawback is cost. Datadog becomes expensive very quickly—especially when log volumes grow or when you create many custom business metrics. Even with strict retention windows and log pipelines, the monthly bill requires constant governance. It’s a powerful platform, but the pricing model can be a challenge for teams that want broad coverage without compromising on granularity.

**What problems is Datadog solving and how is that benefiting you?**

Datadog helps us run a reliable observability platform. We use it to monitor application health, detect failures early, and define custom KPIs for product and engineering teams. It also acts as the signal layer for deploying AI agents—our automated workflows listen to Datadog metrics and logs to trigger alerts, escalations, and self-healing actions.

As a Product Manager, Datadog enables me to set clear SLOs, understand system behavior end-to-end, and reduce MTTD/MTTR significantly. It gives us a proactive observability mindset powered by intelligent metrics and real-time insights, helping us deliver a more stable and predictable platform for users.

  ### 14. Comprehensive APM with Installation Challenges

**Rating:** 3.0/5.0 stars

**Reviewed by:** Gaurav k. | Team Lead, Mid-Market (51-1000 emp.)

**Reviewed Date:** January 09, 2026

**What do you like best about Datadog?**

I like Datadog for its real-time traces and the ability to connect real user monitoring (RUM) with application performance monitoring (APM). This is very useful for me because it helps trace errors and map them with the real user experience. I also find it easy to reproduce cases with the detailed summary available in the dashboard.

**What do you dislike about Datadog?**

I find the installation process a bit complex, especially when setting it up on a Docker-based setup. It's very much difficult to set up compared to a normal VM-based server.

**What problems is Datadog solving and how is that benefiting you?**

I use Datadog to check latency, pinpoint errors, and trace errors effectively. The real-time traces and APM-RUM connection are useful for mapping errors with user experience and reproducing cases with detailed dashboards.

  ### 15. 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.

  ### 16. User-Friendly Dashboards with Comprehensive Analytics

**Rating:** 4.5/5.0 stars

**Reviewed by:** Prashant D. | Senior Software Developer, Mid-Market (51-1000 emp.)

**Reviewed Date:** December 17, 2025

**What do you like best about Datadog?**

It logs all the details we need for analysis. The platform is user-friendly, allowing us to easily set up various dashboards to view all the insights. Implementation is straightforward as well. We have integrated it with our different platforms, including both web and mobile.

**What do you dislike about Datadog?**

I have never encountered any major issues. However, there should be an option to retrieve data based on our own custom filters.

**What problems is Datadog solving and how is that benefiting you?**

We use Datadog for both performance monitoring and crash analytics. Previously, our main challenge was with crash reporting, as we struggled to debug or analyze crash data in our production environments. However, Datadog has helped us address this issue through its crash reports and log monitoring features.

  ### 17. Reliable monitoring tool with powerful dashboards

**Rating:** 5.0/5.0 stars

**Reviewed by:** Navojith Shankar G. | Technical Support Associate, 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.

  ### 18. Fast, Unified Observability That Speeds Up Production Root-Cause Analysis

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Accounting | Mid-Market (51-1000 emp.)

**Reviewed Date:** January 20, 2026

**What do you like best about Datadog?**

What I like best about Datadog is how fast it helps teams understand what’s actually happening in production. The platform brings logs, metrics, traces, and real-time alerts into a single, intuitive view, so you’re not jumping between tools when something goes wrong. That unified observability makes it much easier to identify root causes quickly, especially in complex, distributed systems.

**What do you dislike about Datadog?**

Cost can escalate quickly. Pricing is usage-based, so as log volume, metrics, or hosts scale up, it’s easy for costs to grow faster than expected if usage isn’t closely monitored.

**What problems is Datadog solving and how is that benefiting you?**

Datadog is solving the core problem of not knowing what’s happening inside your systems when it matters most, and it benefits you by saving time, reducing stress, and helping you make better decisions.

  ### 19. 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.

  ### 20. Comprehensive Monitoring, But Setup Could Improve

**Rating:** 5.0/5.0 stars

**Reviewed by:** Om T. | Student, Small-Business (50 or fewer emp.)

**Reviewed Date:** November 18, 2025

**What do you like best about Datadog?**

I love how Datadog integrates seamlessly into a multi-cloud platform, providing real-time metrics that are crucial for monitoring and observability. The highly customizable dashboards allow me to tailor the analytics to fit my exact needs while the fine-tuning alert options ensure that I am always informed without being overwhelmed. These combined features help significantly in tracking system performance metrics and logs, greatly aiding in root cause analysis (RCA).

**What do you dislike about Datadog?**

I find the setup of Datadog to be inefficient and somewhat challenging, making the initial configuration process moderately hard. Additionally, the cost of using Datadog is quite high, and it would be beneficial if there were discounts available for first-time users to ease the financial burden.

**What problems is Datadog solving and how is that benefiting you?**

I use Datadog for centralized monitoring and observability, tracking system performance metrics, logs, and root cause analysis. It integrates with multi-cloud platforms, provides real-time metrics, and features customizable dashboards and alert options.

  ### 21. Comprehensive and Dynamic Monitoring for a Complete End-to-End View

**Rating:** 5.0/5.0 stars

**Reviewed by:** Johnny C. | MDR lv2, Small-Business (50 or fewer emp.)

**Reviewed Date:** November 25, 2025

**What do you like best about Datadog?**

its end-to-end monitoring since it shows us everything we need to see and likewise see what is consumed and all its logs, traces, metrics in a more dynamic way

**What do you dislike about Datadog?**

its way of containers that makes the price go up if not configured properly

**What problems is Datadog solving and how is that benefiting you?**

Before, I had to check five different tools: one to see the CPU usage of my servers (Metrics), another to find out what caused the error (Logs), and another to see which part of the code slowed down (Traces). This is slow and makes me waste time jumping between tabs.

  ### 22. Comprehensive Monitoring Tool with Powerful Insights but High Costs

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Entertainment | Small-Business (50 or fewer emp.)

**Reviewed Date:** October 26, 2025

**What do you like best about Datadog?**

What I like best about Datadog is how seamlessly it brings together metrics, logs, and traces in one place. The dashboard is very intuitive, and it’s easy to set up real-time monitoring for applications and infrastructure. I also like how flexible it is — you can create custom dashboards, set alerts, and get deep visibility into performance issues quickly. It really helps in identifying bottlenecks before they impact users.

**What do you dislike about Datadog?**

The main downside of Datadog is its pricing — it can get quite expensive as your infrastructure and data volume grow. Managing costs can be tricky, especially when you’re monitoring multiple environments. Also, the interface, while powerful, can feel a bit overwhelming at first due to the number of features and options available. It takes some time to get fully comfortable navigating everything.

**What problems is Datadog solving and how is that benefiting you?**

Datadog helps us monitor our entire system — from backend services and APIs to frontend performance — all in one place. It gives real-time visibility into logs, metrics, and traces, which makes it much easier to detect and troubleshoot issues quickly. Thanks to Datadog, we’ve reduced downtime, improved application performance, and gained better insights into how different parts of our system interact. It really helps our team stay proactive instead of reactive when it comes to performance and reliability.

  ### 23. Real-Time Insights and Effortless Error Tracking

**Rating:** 5.0/5.0 stars

**Reviewed by:** Abhishek Kumar M. | technical support engineer, Broadcast Media, Mid-Market (51-1000 emp.)

**Reviewed Date:** November 30, 2025

**What do you like best about Datadog?**

I like that Datadog shows issues in real time and the filters help me quickly find the key errors without digging through everything.

**What do you dislike about Datadog?**

Sometimes the dashboard feels a bit heavy, and it can take time to set up the right filters when the data gets large. and some time the errors are small but it shows high alerts for it.

**What problems is Datadog solving and how is that benefiting you?**

Datadog helps us catch issues fast during live esports events like the World Cup. By checking logs and errors in real time, we can fix problems quickly and keep everything running smoothly.

  ### 24. Efficient and reliable.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Pascal G. | Sr Tech lead, Head of Observability., Enterprise (> 1000 emp.)

**Reviewed Date:** October 16, 2025

**What do you like best about Datadog?**

Extremely reliable.
Ability to fine tune Custom metrics and logs ingested -> this helps to control the cost.
Many features integrated together multiplying the efficiency of Datadog as a global Observability solution.
It is easy to implement and to use. 
Integration with 3rd parties is most of the time straightforward. 
Scales well with a large organisation.
Dashboards and queries are very responsive even with a very large amount of data.
The Datadog team is very responsive, they already implemented most of the feature requests we suggested (over 10 in a year) which is impressive.
Support is also responsive and we have most of our issues solved in a reasonable amount of time.
The platform is used intensively be the developers across our organisation.

**What do you dislike about Datadog?**

I don't like Zendesk, it is quite poor to interact with support compared to Datadog platform.
Terraform and APIs often take longer to catch up with new features.

**What problems is Datadog solving and how is that benefiting you?**

While Datadog platform covers a wide range of functionality, it helps us to consolidate our Observability tool suite saving cost and time. 
The fact that it's easy to use helps a lot for our application monitoring and our incidents management.

  ### 25. Great Integration and Dashboards, but Pricing Is Unpredictable

**Rating:** 5.0/5.0 stars

**Reviewed by:** Pramod K. | System Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 14, 2025

**What do you like best about Datadog?**

Easy integration, power dashboards and visualization, smart alerts

**What do you dislike about Datadog?**

expensive and hard to predict cost, data retenntion and export limitation

**What problems is Datadog solving and how is that benefiting you?**

1. Lack of Unified Observability

In modern environments, teams use dozens of tools—logs, metrics, traces, synthetic monitoring, network monitors, security scanners, etc.

Datadog consolidates metrics, logs, traces, security, and real-user monitoring in one place. This helps DevOps, SRE, security, and business teams collaborate with a single source of truth.

2. Troubleshooting is Hard and Slow

Distributed systems mean a single user action might trigger dozens of services.

Datadog provides distributed tracing, log correlation, and visualizations that allow you to trace requests end-to-end and pinpoint slow or broken parts of the system fast.

3. Cloud Complexity

Cloud environments (AWS, Azure, GCP) change constantly—instances spin up/down, containers come and go, etc.

Datadog offers real-time monitoring and auto-discovery to keep up with these ephemeral environments.

4. Siloed Teams & Tools

Dev, Ops, Security, and Business teams often use different tools and speak different "languages".

Datadog’s platform allows shared dashboards, alerts, and insights, helping teams align on problems and priorities.

5. Proactive Monitoring Instead of Reactive Firefighting

Teams often only react after customers are impacted.

  ### 26. Easy-to-Use Dashboard, But Data Storage Isn’t in India

**Rating:** 3.5/5.0 stars

**Reviewed by:** Mohit G. | Chief Information Security officer, Enterprise (> 1000 emp.)

**Reviewed Date:** May 07, 2026

**What do you like best about Datadog?**

It’s easy to use, and the dashboard is very good and straightforward.

**What do you dislike about Datadog?**

It does not store data in India; its data center is located outside India.

**What problems is Datadog solving and how is that benefiting you?**

It helps improve our API performance, and it also helps us understand where the issues are and how to improve them.

  ### 27. Powerful and User friendly Observability Platform

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.)

**Reviewed Date:** October 08, 2025

**What do you like best about Datadog?**

Datadog is very easy to use and provides a unified platform for monitoring, metrics, logs, and traces. I really like the Log Explorer, it’s powerful and flexible, especially when building complex queries to filter and analyze data. The Metric Explorer and APM features are excellent for tracking performance and identifying bottlenecks across different services. User management is straightforward, and setting up monitors is quick and reliable. Integration is also straightforward, in our case, we use it with Microsoft Teams and Azure without any issues. Their customer support has always been responsive and helpful whenever we’ve needed assistance. Overall, it’s a powerful and easy-to-use observability platform that provides deep visibility across systems and applications.

**What do you dislike about Datadog?**

Dashboards can feel limited at times, building more advanced or highly customized visualizations isn’t always straightforward.

Another drawback is the cost as Datadog can become extremely expensive if not managed carefully, especially when log volumes or monitored hosts grow quickly.

**What problems is Datadog solving and how is that benefiting you?**

Datadog helps us centralize monitoring across all our infrastructure and applications. We use it to collect logs, metrics, and traces in one place, making it much easier to detect and troubleshoot issues before they impact users. With APM and monitors, we can quickly identify performance bottlenecks and track down root causes. The integration with Azure and Microsoft Teams allows us to get alerts and insights directly where we collaborate, improving response times. Overall, Datadog gives us better visibility, faster incident resolution, and a clearer understanding of system health across environments.

  ### 28. Metrics hub for problem solving

**Rating:** 3.5/5.0 stars

**Reviewed by:** Purachet C. | Full-Stack Software Developer, Mid-Market (51-1000 emp.)

**Reviewed Date:** December 18, 2025

**What do you like best about Datadog?**

Collecting all important monitoring information in one place so if a problem arises it is faster to find the cause as every metric is collected.

**What do you dislike about Datadog?**

I find its interface a bit outdated and unintuitive

**What problems is Datadog solving and how is that benefiting you?**

It provides a hub to collect a lot of data points from different applications in one place which makes it much easier to access as well as setup notifications based on multiple data sources.

  ### 29. Comprehensive Monitoring with Easy Setup

**Rating:** 4.0/5.0 stars

**Reviewed by:** Karan P.

**Reviewed Date:** December 22, 2025

**What do you like best about Datadog?**

I really like how detailed the log traces can be in Datadog, and how I can search for specific logs based on labels and facets. Setting up Datadog agents was also very easy.

**What do you dislike about Datadog?**

Pricing can become really expensive at scale, especially when log ingestion and custom metrics are not carefully managed. It would really be nice to be able to view a cost dashboard, as I don't think Datadog has that feature.

**What problems is Datadog solving and how is that benefiting you?**

I use Datadog to gain insights into application metrics and monitor key metrics like memory and CPU usage. It also provides visibility into services deployed across clouds like GCP and AWS.

  ### 30. Datadog is a powerful platform/tool for monitoring/logging/error tracking but might not be for you

**Rating:** 3.5/5.0 stars

**Reviewed by:** Cesar Daniel Z. | Senior Angular Developer, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 26, 2025

**What do you like best about Datadog?**

Datadog is pretty awesome, it's really powerful, we can add logs from our platforms, it tracks automatically the `console.errors` on the frontend, we can track the specific line when mappings are available, it allow us to track the CPU usage, it even can be connected to services like OpsGenie, or Slack or others, also it has support for IDEs which means we can open the error directly on our IDE, which is really awesome... but maybe the most important is that we can have a complete platform for control of our code/infra in one single place, as a FrontEnd developer, this help us also to track properly what the users see and replicate issues as closes as we can without bothering our customers.

**What do you dislike about Datadog?**

It's really expensive, sometimes configuring a dashboard or specific monitors is really hard as the platform is too big, which feels overwhelming, meaning we can't properly find some parts or things like that, also for example on the error login I think it should work the opposite when creating a query using the filters, as we should start with nothing selected, and then we can start filtering, so it's not hard to find what we want...

**What problems is Datadog solving and how is that benefiting you?**

We monitor all our infra with Datadog, also our platforms (Backend, Frontend applications) in just one single place, we even track some extra things on Datadog like third party API responses using the logging part... so we have full observability of what is happening in all the places.

  ### 31. 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.

  ### 32. Where are the gaps? Yet to find one

**Rating:** 4.5/5.0 stars

**Reviewed by:** Joshua P. | Principle Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** December 14, 2025

**What do you like best about Datadog?**

Datadog has everything you could want for observability and alerting and incident management.

**What do you dislike about Datadog?**

Can be quite overwhelming on where to get started, you need to know exactly what you want to do to get into Datadog.

**What problems is Datadog solving and how is that benefiting you?**

Need a simple place to create dashboards and alerts that cover multiple cloud providers

  ### 33. Datadog is useful for reading logs

**Rating:** 4.0/5.0 stars

**Reviewed by:** Aviv Y. | Software Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 15, 2025

**What do you like best about Datadog?**

what I like best about DataDog:
1. it provides a user-friendly interface to track down logs.
2. It allows to track and fetch logs according to specified time-frames.
3. Log appear live, so usage is useful to tracking down logs when on the spot.
4. Bug-tracking can be presented in a convenient way to help testers and developers during bug fixes.

**What do you dislike about Datadog?**

What I dislike about DataDog:
1. User interface contains an overwhelming amount of features that make it difficult to navigate through.
2. Categorization is often innacurate and causes problems with finding specific logs.
3. Time-frame functionalities are often buggy and unreliable.
4. It's unclear how to integrates bugs from application in development to DataDog log system.

**What problems is Datadog solving and how is that benefiting you?**

Problems that Datadog solved for me:
1. Is a solid platform to track down logs.
2. Helps tracking progress with bug discovery and bug fixes.
3. Helps with monitoring over database and server performances.
4. Allows to display live logs from current usage of application in development.

  ### 34. Powerful tool!

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Health, Wellness and Fitness | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 29, 2025

**What do you like best about Datadog?**

Datadog is a powerful observability tool that brings metrics, logs, traces, and more into a single, easy-to-use platform. What I really like is how quickly you can get visibility across your entire stack—especially in dynamic cloud and Kubernetes environments—and the dashboards are both beautiful and practical. It’s reliable and flexible

**What do you dislike about Datadog?**

it can get expensive fast if you’re not careful with what you ingest or retain. Some of the advanced features take time to master, and alert tuning needs discipline to avoid noise. Still, for modern infrastructure, it’s one of the best tools out there.

**What problems is Datadog solving and how is that benefiting you?**

Datadog helps solve the problem of fragmented monitoring by centralizing logs, metrics, traces, and real-time alerts into a single platform. Instead of jumping between multiple tools to troubleshoot issues or understand performance, we get a unified view of our infrastructure, applications, and user experience. This has made our incident response much faster and more informed, since we can quickly correlate spikes or failures across layers—from code to container to cloud service. It also helps us catch issues proactively through anomaly detection and automated alerts, improving reliability and reducing downtime.

  ### 35. 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.

  ### 36. My most used part is sessions and replay

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Facilities Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 24, 2025

**What do you like best about Datadog?**

I almost use Datadog every day to view the customer sessions to find out the how customer handles our application and it really help me to clarify on the what customer facing and what customer trying to convey with the usage. As a customer support member, these things help me to make queries addressed faster.

**What do you dislike about Datadog?**

Some high-level UI interactions are not captured in the session, making certain user sessions difficult to analyze or even useless.

**What problems is Datadog solving and how is that benefiting you?**

In my role, some queries are reported without screenshots or screen recordings from the customer as those scenarios are not ideally possible to take a screenshot while it occuring. In such cases, Datadog helps us understand the issue better. On the other hand, manual analysis—such as reviewing usage reports—becomes easier, as we can track every organization’s and user’s activity and export the data at our convenience.

  ### 37. 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.

  ### 38. All-in-One Monitoring with Real-Time Insights

**Rating:** 5.0/5.0 stars

**Reviewed by:** saurabh r. | System Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** January 08, 2026

**What do you like best about Datadog?**

It brings metrics, logs, traces, and alerts into a single, intuitive platform.
Real-time dashboards and powerful visualizations make it easy to identify issues quickly.

**What do you dislike about Datadog?**

Fine-tuning alerts and dashboards often takes time to avoid noise and false positives.

**What problems is Datadog solving and how is that benefiting you?**

It centralizes metrics, logs, traces, and alerts across applications, infrastructure, and cloud services in one platform.

  ### 39. Comprehensive Tracking Capabilities That Impress

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Higher Education | Small-Business (50 or fewer emp.)

**Reviewed Date:** December 18, 2025

**What do you like best about Datadog?**

It offers almost every possible way to track the application interactions.

**What do you dislike about Datadog?**

It's very expensive, and it's not easy to grasp for newbies

**What problems is Datadog solving and how is that benefiting you?**

It gives us insights into our application services and it allows us to catch issues. Also, it provides session replays that allow us to quickly spot issues with the way users interact with our application.

  ### 40. Datadog : All in one observability

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Airlines/Aviation | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 25, 2025

**What do you like best about Datadog?**

The user interface is excellent, and I appreciate the simplicity of the user experience. It offers full stack observability, allowing me to monitor both the technology stack and the application environment effectively. They have knowledge tech support and supports many third party integration.

**What do you dislike about Datadog?**

Everything is up to date, and there is nothing more to add. The documentation is thorough, and there are clear paths available to troubleshoot any queries.

**What problems is Datadog solving and how is that benefiting you?**

Datadog can help you identify and resolve application bugs. Sometimes, application teams are unsure about the exact location of a bug, which line is causing the application to fail, or where the failure rate is originating. They may also struggle to determine which endpoint is making the application slow. With Datadog, you can monitor all of these aspects in a single observability platform.

  ### 41. Datadog - Observability Giant

**Rating:** 5.0/5.0 stars

**Reviewed by:** Kartik K. | Senior Software Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** September 09, 2025

**What do you like best about Datadog?**

The way it  help provide the observability of the apps from infrasctructure , APM , Browser and with logs metrics and traces.

**What do you dislike about Datadog?**

The Way we write the Datadog query language. Ui can be a bit better

**What problems is Datadog solving and how is that benefiting you?**

1. APM Application observability
2. understanding logs and metrics and traces for the applications
3. Understanding the infrastrcuture cluster

  ### 42. More reliable and comprehensive monitoring solution

**Rating:** 5.0/5.0 stars

**Reviewed by:** Chamindu H. | Network and Security Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 10, 2025

**What do you like best about Datadog?**

We can monitor our all in centralized platform. Dashboards are very clear and we can integrate our other solutions as well. That is big advantage for us. We can fix and resolve our problems quickly using datadog

**What do you dislike about Datadog?**

Compared to other competitive products, datadog price are bit higher. Small and medium size businesses cannot buy this product easily.

**What problems is Datadog solving and how is that benefiting you?**

We can quickly identify and and respond to our problems in our systems and applications. It gives real time visibility for all our systems in centralized platform. We can minimize trouble-shootings and save our time.

  ### 43. Very Easy to Use and Incredibly Useful for My Job

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Program Development | Small-Business (50 or fewer emp.)

**Reviewed Date:** March 10, 2026

**What do you like best about Datadog?**

It’s very easy to use and has been really useful for my job.

**What do you dislike about Datadog?**

Honestly, there’s nothing I really dislike about it. It’s a very good product overall.

**What problems is Datadog solving and how is that benefiting you?**

It’s useful for tracking logs and monitoring custom metrics, and it makes it easier to follow what’s happening over time.

  ### 44. Datadog the best of all

**Rating:** 5.0/5.0 stars

**Reviewed by:** Dennis D. | Digital Marketing Manager, Small-Business (50 or fewer emp.)

**Reviewed Date:** July 31, 2025

**What do you like best about Datadog?**

Its unified in visibility across the whole tech stack
Its seamless in log management.
Has customized dashboards for better support.

**What do you dislike about Datadog?**

very expensive to use.
its cluttered when dealing with bulky data.

**What problems is Datadog solving and how is that benefiting you?**

Datadog allows servers, databases, and many other tools and services to be monitored across the IT landscape in real time. It will enable one to see the performance of applications and identify problems from a business perspective before they reach the user.

  ### 45. DataDog has been game changing for our organization!

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Entertainment | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 09, 2025

**What do you like best about Datadog?**

The APM and RUM are the two main products our team uses, and has 10x our observability setup.

We really love the seamless view of requests through our systems.

The service map is also super useful for onboarding actually.

**What do you dislike about Datadog?**

We're still fairly new to Datadog, so don't have much to pull from, but I would say sometimes the UI/UX gets a bit confusing the deeper you get into panels and views.

**What problems is Datadog solving and how is that benefiting you?**

Datadog has replaced our organization's reliance on many different tools in a single package.

We used to use Sentry, self-hosted ELK stack, Grafana, Jaeger, OpsGenie, etc.

The best part is that Datadog does all the different things these other tools did, but better.

The automatic instrumentation has been my favorite part.

  ### 46. Seamless UI analytics and session replay

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer Games | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 09, 2025

**What do you like best about Datadog?**

The UI integration with APM, session replay and UI analytics like LCP are very convenient. I enjoy the easy way of following user sessions on different environments and filter by devices. Dashboard creation is very intuitive. Implementing on a real project is very straight forward.

**What do you dislike about Datadog?**

Sometimes its a bit tricky to match the UI logs with the BE information, mostly configuring and finding tracing has been a little challenging.

**What problems is Datadog solving and how is that benefiting you?**

Datadog is super useful for incident analysis and log checking. This allows applications to have a quick response to any problem that might appear on dev or production. I would say that analysis  and optimization is an area that helps a lot.

  ### 47. Enquiry

**Rating:** 5.0/5.0 stars

**Reviewed by:** YEPURI C. | Technical Lead, Enterprise (> 1000 emp.)

**Reviewed Date:** June 20, 2025

**What do you like best about Datadog?**

Best monitoring tool and easy to understand

**What do you dislike about Datadog?**

I dont say i dislike, it'd be extra good if there's a troubleshooting

**What problems is Datadog solving and how is that benefiting you?**

Datadog solves the challenge of fragmented monitoring by providing a unified platform for infrastructure, application, log, and security observability. It enables real-time insights, faster issue resolution, and efficient root cause analysis across dynamic, cloud-native environments. This leads to improved system reliability, better team collaboration, reduced downtime, and enhanced user experience—all from a single, scalable tool.

  ### 48. Unmatched Reliability and Performance—A Must-Have Monitoring Tool

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.)

**Reviewed Date:** December 17, 2025

**What do you like best about Datadog?**

Datadog's reliability and performance is unmatched which makes it an absolute recommendation.

**What do you dislike about Datadog?**

Too many features/window are spread-out and could be consolidated/integrated better for easier UX.

**What problems is Datadog solving and how is that benefiting you?**

As a developer, DD has been my go to point to investigate any ongoing incidents or malfunctions in our services. The APM offer a great detailed view of the application performance and general health.

  ### 49. datadog

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 11, 2025

**What do you like best about Datadog?**

Datadog provides a unified observability platform that’s incredibly easy to integrate across our stack. I especially appreciate how seamless it is to correlate logs, metrics, traces, and dashboards in one place—it reduces context switching and enables faster debugging and root cause analysis. The intuitive UI and out-of-the-box visualizations also make it accessible to both engineers and non-technical stakeholders.

**What do you dislike about Datadog?**

While Datadog is powerful, the pricing can become difficult to manage as usage scales—especially with high-cardinality metrics or large log volumes. Additionally, some configuration options (like log pipelines and monitor tuning) can feel complex or unintuitive without deeper documentation or prior experience.

**What problems is Datadog solving and how is that benefiting you?**

At Sigma, Datadog helps us centralize observability across our microservices and data infrastructure, making it easier to monitor system health, trace performance bottlenecks, and proactively catch issues before they impact customers. It’s been especially useful during incident response and on-call rotations, where the ability to quickly pivot between logs, metrics, and traces significantly reduces our mean time to resolution.

  ### 50. One stop shop for all my observability

**Rating:** 4.5/5.0 stars

**Reviewed by:** Andrew P. | Software Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** September 09, 2025

**What do you like best about Datadog?**

Love how it integrates all of our different software surfaces: mobile apps, databases, APIs, and internal tools. And there are always more features coming out.

**What do you dislike about Datadog?**

There are so many features! It can be hard to figure out exactly how to get the most out of it.

**What problems is Datadog solving and how is that benefiting you?**

We're a lean software team and datadog helps me get to the root cause of customer 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?section=pricing&secure%5Bexpires_at%5D=2026-05-16+04%3A05%3A28+-0500&secure%5Bsession_id%5D=4b29ca0c-faf7-46fa-bc7e-aa73c27676a6&secure%5Btoken%5D=e62d85e8de60dcd3dd55484aa76f9eab5560f2dfc7de1f97c263fb3f43ffb14e&format=llm_user)
## Datadog Integrations
  - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews)
  - [Amazon CloudFront](https://www.g2.com/products/amazon-cloudfront/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)
  - [Amazon Route 53](https://www.g2.com/products/amazon-route-53/reviews)
  - [Angular](https://www.g2.com/products/angular/reviews)
  - [AWS Auto Scaling](https://www.g2.com/products/aws-auto-scaling/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 CloudTrail](https://www.g2.com/products/aws-cloudtrail/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)
  - [Cloudflare Application Security and Performance](https://www.g2.com/products/cloudflare-application-security-and-performance/reviews)
  - [Git](https://www.g2.com/products/git/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)
  - [Jenkins](https://www.g2.com/products/jenkins/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)
  - [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)

## 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
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