

Datadog and SolarWinds AppOptics compete in the field of performance monitoring and infrastructure management. Datadog appears to have an upper hand due to its extensive feature set and seamless integration capabilities, appealing to modern infrastructure needs.
Features: Datadog offers hosted infrastructure management, sharable dashboards, and a wide range of integrations and custom metrics. SolarWinds AppOptics focuses on network performance and application management, offering application performance management and network performance analysis features.
Room for Improvement: Datadog could improve querying large datasets and offer better cost predictability. SolarWinds AppOptics could centralize its platform to reduce dependence on multiple solutions and enhance third-party integration and log management capabilities for both services.
Ease of Deployment and Customer Service: Datadog provides easy deployment across public, hybrid, and private clouds, simplifying management for multi-cloud environments. SolarWinds AppOptics supports on-premises and cloud deployments but lacks Datadog’s flexibility. Datadog’s customer service is noted for quick, proactive support, streamlining setup and usage, while SolarWinds AppOptics provides satisfactory service for troubleshooting needs.
Pricing and ROI: Datadog’s pricing is versatile yet can become expensive with high data consumption. However, it offers excellent ROI through operational efficiency. SolarWinds AppOptics features a more predictable pricing model, often preferred by organizations seeking cost stability. Both platforms are noted for delivering significant ROI, with Datadog providing more complex environment value at a potentially higher cost.
| Product | Market Share (%) |
|---|---|
| Datadog | 5.5% |
| SolarWinds AppOptics | 0.7% |
| Other | 93.8% |


| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 7 |
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.
AppOptics is a SaaS-based simple, powerful and affordable Infrastructure & Application monitoring for custom on-premises, cloud, and hybrid systems.
Your business runs on applications, and when they go down or run slowly, it can impact the business in lost productivity, customers, or revenue. To add to the complexity, your IT environment is changing, and workloads can be spread across data centers, and cloud resources. You need to monitor the availability and performance of applications and infrastructure, regardless of where they are, so you can identify potential issues early and address them before they impact users
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.