

Datadog and SolarWinds Hybrid Cloud Observability both offer solutions in the realm of observability, competing to provide enterprises with comprehensive insights into their infrastructures. Based on feature comparisons, Datadog appears to have an edge due to its advanced anomaly detection capabilities and seamless integrations, but SolarWinds HCO excels in providing all-in-one visibility for hybrid environments.
Features: Datadog provides comprehensive observability through sharable dashboards, advanced anomaly detection, and seamless integrations with popular services such as Amazon ECS and RDS. It excels in automation and visualization, aiding straightforward root cause analysis. Conversely, SolarWinds Hybrid Cloud Observability focuses on all-in-one visibility across hybrid networks, emphasizing anomaly-based alert detection and issue correlation.
Room for Improvement: Datadog could enhance its performance in accessing historical metrics, strengthen integration options, and refine real-time usage insights. It also needs more consistent API interfaces and improved error traceability. In contrast, SolarWinds HCO could benefit from better container monitoring, more robust third-party integrations, and more comprehensive documentation.
Ease of Deployment and Customer Service: Datadog is easily deployable across various cloud environments, supported by a responsive customer service team and extensive documentation, although support quality can occasionally vary. SolarWinds HCO offers straightforward deployment in hybrid clouds with efficient licensing and proactive customer service, although it could improve its on-premises and private cloud support.
Pricing and ROI: Datadog is considered expensive with complex pricing models, requiring careful management of custom metrics though it provides a good ROI by reducing development time and increasing system efficiency. SolarWinds HCO is moderately priced with node-based licensing that simplifies cost management, though renewal pricing changes have caused confusion. While Datadog offers a higher ROI through advanced features, SolarWinds HCO provides ease of cost management.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
The primary return comes from its effectiveness, leading to significant cost savings, especially since we can create tenants and allow multiple countries to utilize the nodes through shared tools.
It saves time by issuing alerts that notify engineers about problems or incidents.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
the support is quick and meets service-level agreements
I get an instant response and on-call support as well.
The complexities and internal processes in approvals necessitate a more tailored support approach, ensuring that assistance is relevant and timely.
Datadog's scalability has been great as it has been able to grow with our needs.
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
The product is very easy to scale.
A single polling engine with enterprise supports up to 100 additional polling engines, monitoring up to 100,000 elements per instance.
The scalability of SolarWinds Hybrid Cloud Observability is great.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Datadog seems stable in my experience without any downtime or reliability issues.
Datadog seems to be more stable, and I really want to have a complete demo before making a call to decide on this.
In my current environment, we have experienced instability likely due to the deployment not meeting required standards.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
We want to be able to customize the cost part, and we would appreciate more granular access control.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
The solution could improve in areas such as CICD observability.
The initial setup and configuration can also be complex for new users.
I think deeper integration into Kubernetes, serverless functions, and cloud-native tracing can be implemented as these matter to many organizations.
The setup cost for Datadog is more than $100.
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
My experience with pricing, setup cost, and licensing is that it is really expensive.
The pricing is mid-segment, which means it is neither cheap nor expensive compared to other products.
The new pricing models lack clarity in communication, bundling services that we may not actually need, leading to unnecessary costs.
Before, everything was licensed. Now with SaaS, it is easy, but some companies say that they are SaaS, but their business model is a license, so it is difficult to do business with them.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
It is easy to scale by increasing the count of observable objects, adding additional servers, and polling engines, which is crucial for enterprise-level projects.
It has an alerting engine where I can define thresholds and configure custom alerts, which can also be integrated with ITSM or a ticketing system to auto-create tickets.
Smart Alerts in SolarWinds Hybrid Cloud Observability has been really helpful for our team. For instance, one day, a switch interface started hitting high utilization, which would have caused slowness in network traffic. SolarWinds Hybrid Cloud Observability sent an alert immediately, so we could check the devices and fix the issue before users noticed any problem.
| Product | Market Share (%) |
|---|---|
| Datadog | 6.7% |
| SolarWinds Hybrid Cloud Observability | 0.8% |
| Other | 92.5% |

| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 4 |
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.
SolarWinds Hybrid Cloud Observability enhances IT operations with comprehensive visibility across hybrid environments for improved performance and uptime.
Providing a unified platform, SolarWinds Hybrid Cloud Observability allows IT teams to manage, monitor, and optimize both on-premises and cloud resources. It integrates seamlessly with existing tools, improving efficiency with robust data analytics and visualization. Its advanced features decrease time-to-resolution for system issues and help maintain system health.
What are the most important features of SolarWinds Hybrid Cloud Observability?SolarWinds Hybrid Cloud Observability is implemented across multiple industries like healthcare, finance, and manufacturing to ensure reliable performance and security of IT ecosystems. Its adaptability and comprehensive coverage make it a favored choice for enterprises managing both legacy and cloud-based infrastructures.
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