

Datadog and Kentik compete in the category of monitoring and analytics solutions with a focus on system and network performance. Datadog holds an upper hand with comprehensive observability, suitable for complex cloud environments, whereas Kentik specializes in network performance, offering crucial insights for infrastructure management.
Features: Datadog supports monitoring, logging, and tracing across environments with reusable monitors and alert groupings for trend identification. Its Watchdog insights provide proactive issue identification. Kentik provides network performance monitoring with NetFlow analytics and DDoS alerting crucial for visibility.
Room for Improvement: Datadog could improve usability by enhancing its documentation, interface intuitiveness, and integration capabilities. Pricing transparency could also be improved. Kentik would benefit from a more actionable dashboard and enhancements in AI-driven troubleshooting for better insights into flow data.
Ease of Deployment and Customer Service: Datadog provides broad deployment across different cloud environments with responsive support, although resolution times can vary. Kentik focuses on private cloud setups with specialized customer support, though complex cases may face delays.
Pricing and ROI: Datadog uses a usage-based pricing model, often seen as high for smaller organizations but justifiable through operational efficiencies. Kentik offers competitive pricing for large-scale network monitoring, providing ROI through enhanced network insights and performance optimization, yet requires careful budget considerations.
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.
In production environments, especially for service providers on IP networks and data centers, Kentik helps in reducing the time to identify and resolve issues.
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.
I have mostly used forums for any support needed because the setup is straightforward and the documentation is quite good.
They have monthly calls and discuss the product roadmap with us to determine what is needed.
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.
Kentik's integration with Kubernetes makes scaling easier.
You can scale as many devices and tests as you want, but you should have a good number of credits in your accounts.
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 production, however, dimensioning of the underlying platforms is something to be mindful of.
Based on stability, I would give Kentik a nine.
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.
More work is required to integrate AI for troubleshooting, simplifying root cause analysis, and providing suggested solutions for network issues.
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 good and aligns with the market target.
Kentik’s pricing is competitive in the marketplace.
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.
The most important feature is cybersecurity.
One of the most valuable features of Kentik, especially for service providers, is its ability to visualize all the BGP peering and the status of the BGP peering platform.
Kentik is easy to use and set up.
| Product | Market Share (%) |
|---|---|
| Datadog | 2.4% |
| Kentik | 1.2% |
| Other | 96.4% |


| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 3 |
| Large Enterprise | 8 |
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.
Kentik's AIOps Network Traffic Intelligence platform unifies network operations, performance, security, and business intelligence.
With a purpose-built big data engine delivered as public or private SaaS, Kentik captures a high-resolution view of actual network traffic data and enriches it with critical application and business data, so every network event or analysis can be tied to revenue & costs, customer & user experience, performance & risk.
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