Datadog and NinjaOne compete in the monitoring and management software category. Datadog seems to have the upper hand in integration and data management, whereas NinjaOne excels in user-friendly remote management.
Features: Datadog provides sharable dashboards, efficient integration with AWS, seamless multi-account monitoring, and automated alerts, which facilitate extensive data management. NinjaOne offers effective remote desktop management, device monitoring, and script automation, making it ideal for small businesses and educational institutions.
Room for Improvement: Datadog's complex pricing and limited support for advanced integrations can be challenging, and improvements in AI-driven insights and cost transparency are needed. NinjaOne could enhance its user interface and reporting, and also expand its network monitoring and third-party integrations.
Ease of Deployment and Customer Service: Both Datadog and NinjaOne are cloud-based, simplifying deployment across environments. Datadog is recognized for proactive support during setup, with some response time concerns. NinjaOne has an excellent reputation for prompt customer service, even over weekends, offering a stable deployment experience.
Pricing and ROI: Datadog's pricing is complex, necessitating careful management to avoid extra costs, offering a solid ROI via comprehensive monitoring and integrations. NinjaOne has a straightforward, affordable pricing model with a favorable value-to-price ratio for smaller organizations, benefiting from inclusive device management tools.
NinjaOne enables significant time savings, reducing my workload by 40% to 50%, primarily due to remote management capabilities.
The customer support at NinjaOne is excellent, rated ten out of ten.
Our experience with escalation supports, including auto escalation to third-level or engineering support, has been very positive.
I rate customer service and support for NinjaOne at seven out of ten due to slow response times.
I would rate the scalability of NinjaOne as ten out of ten.
The design suggests it is scalable.
I would rate the stability a ten out of ten.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
There should be a clearer view of the expenses.
Security and reporting, including business intelligence tools, are adequate.
The inclusion of XENServer and Proxmox as virtual platforms in NinjaOne is currently missing.
The network monitoring needs to be improved.
The setup cost for Datadog is more than $100.
The pricing for NinjaOne is appropriate for small companies.
NinjaOne is reasonably priced, particularly with the inclusion of TeamViewer, SentinelOne, and Bitdefender.
The price or licensing of NinjaOne is a little bit high.
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.
The technology itself is generally very useful.
A significant feature of NinjaOne is its remote access capability, which is essential for my clients’ home office usage.
The software's automation tools have solved critical deployment problems for small businesses.
Every month, every quarter, I see new features, and it is always evolving.
Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.
Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.
What are the key features of Datadog?
What benefits and ROI should users look for in reviews?
Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.
NinjaOne provides comprehensive remote monitoring, troubleshooting, and automation via a user-friendly web interface. With a robust mobile app and integration capabilities, it appeals to small businesses seeking cost-effective management solutions.
NinjaOne is designed to streamline IT operations through its remote monitoring, patch management, and automation capabilities. Its integration with Bitdefender and ongoing feature enhancements are valuable, although users express a desire for more third-party compatibility and smoother deployment processes. The platform's SLA system enhances performance tracking, while its continual development is a key attraction. Despite some calls for a more intuitive graphical interface and advanced reporting features, it remains an asset for managed service providers and businesses adapting to cloud-based environments.
What are the most important features?NinjaOne is widely employed across different sectors for server and workstation management, network infrastructure oversight, and client computer support. With its cloud-based framework, it supports managed service providers and businesses shifting to the cloud, ensuring seamless software deployment and improved asset management, making it integral to modern IT environments.
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