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Datadog Reviews 2026: Details, Pricing, & Features - G2
Excerpt
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. Review collected by and hosted on G2.com. … 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. Review collected by and hosted on G2.com. … 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. Review collected by and hosted on G2.com. … 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. Review collected by and hosted on G2.com. … 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. … 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. … 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. Review collected by and hosted on G2.com.
Related Pain Points
Unpredictable and Escalating Datadog Costs at Scale
7Datadog's modular, per-dimension pricing model (per-host, per-GB logs, per-million-events, per-session) makes billing unpredictable and difficult to forecast. Teams experience bills 35% higher than estimates, and costs spiral as infrastructure scales, creating an ongoing operational burden to manage expenses.
Steep Learning Curve for Non-Engineering Teams in Datadog
5Datadog's query syntax, dashboard creation, and monitor configuration assume deep familiarity with metrics and distributed systems. Non-engineers (product managers, support teams) struggle with log exploration and dashboard building despite Notebooks and saved views, whereas competitors invest more in accessibility.
Agent Setup Complexity and Overhead
4Datadog agent installation and configuration is not straightforward, requiring understanding of agent architecture. Agents consume measurable CPU and memory overhead on hosts/pods, which is problematic in resource-constrained environments.