

Datadog and StackState compete in IT monitoring and observability, with both offering robust solutions. Datadog generally has the upper hand in pricing and support due to competitive offerings and efficient customer assistance.
Features: Datadog offers comprehensive monitoring capabilities with its real-time analysis, extensive integrations, and alerting features. It supports a wide variety of environments, enhancing visualization and troubleshooting. StackState stands out with its unique 4T data model, providing essential context and dependency visualization for complex systems. This context-driven approach distinguishes StackState in handling complex environments with specificity.
Ease of Deployment and Customer Service: Datadog is recognized for quick setup and seamless integrations across various platforms, enabling fast deployments. On the other hand, StackState may require more in-depth setup due to its focus on detailed dependency mapping. Regarding customer service, Datadog often provides prompt support, while StackState offers personalized assistance aligned with its complex deployment model.
Pricing and ROI: Datadog generally provides competitive pricing, appealing to its broad user base, and ensures solid ROI through its accessible monitoring solutions. StackState might involve a higher initial setup cost, aiming for high long-term ROI by addressing complex enterprise needs with its specialized features. While Datadog is often perceived as cost-efficient, StackState targets organizations looking for deep visibility, potentially justifying its premium pricing.
| Product | Market Share (%) |
|---|---|
| Datadog | 4.1% |
| StackState | 0.3% |
| Other | 95.6% |

| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.
Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.
What are Datadog's Key Features?In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.
The StackState AIOps platform is a unique offering as we combine:
- Topology – view all components and all their dependencies, on prem and cloud;
- Telemetry – see all metrics, events and logs per component, regardless of its source;
- Tracing – insights into end-to-end customer journey at code level;
- Time travelling – travel back to any moment in time.
We make this possible through our unique version graph database (the so called 4T model).
Again, all combined in one model, one view. Future ready as new technologies will be launched and will be included into StackState’s AIOps platform.
On top of this platform we offer state of the art AI capabilities for:
- Root Cause Analysis;
- Impact Analysis;
- Predictive Analytics;
- Anomaly detection;
- Remediation and Automation
This helps our customer to drastically reduce Root Cause Analysis (RCA) and Mean Time To Repair (MTTR). All together this makes StackState the only vendor today which makes AIOps a reality.
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