Datadog and ManageEngine Log360 are prominent competitors in the monitoring and management category. Datadog seems to have an edge due to its comprehensive integration ecosystem and hosted solution.
Features: Datadog offers shareable dashboards, seamless integrations with multiple platforms like Amazon ECS and Docker, and intuitive tagging for user-friendly monitoring. It provides centralized monitoring and sophisticated alert systems, making it highly effective for diverse infrastructures. ManageEngine Log360 promotes a modular architecture, offering flexibility to select necessary components. It includes compliance reporting, user behavior analytics, and agentless monitoring that simplifies implementation without impacting system performance.
Room for Improvement: Datadog needs improvements in error traceability, AI integration, and flexible pricing models. User feedback highlights challenges with user documentation, while logging costs remain a concern. ManageEngine Log360 could enhance cloud service integrations, automation capabilities, and reporting features to provide deeper insights.
Ease of Deployment and Customer Service: Datadog's cloud compatibility supports public, private, and hybrid infrastructures, making it versatile for various deployments. ManageEngine Log360 excels in on-premises with some hybrid capabilities. Both receive positive customer service reviews, though Datadog’s support varies in responsiveness. Better documentation for deployment would benefit Datadog users, while ManageEngine’s responsiveness is generally well-received.
Pricing and ROI: Datadog is often regarded as expensive, especially for large-scale setups, but users recognize the value in its central monitoring abilities. Enhancing cost visibility and billing predictability could improve user satisfaction. ManageEngine Log360 offers competitive, affordable pricing relative to its SIEM features, appealing for those prioritizing cost efficiency. Both solutions are credited for enhancing operational efficiency, with ROI dependent on deployment scale and required subscriptions.
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.
If unauthorized personnel attempt to add logs, the monitoring informs the administrator, enabling them to act promptly, leading to savings in both time and money for the company.
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 solutions they provide are valuable.
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 technical support from ManageEngine is very good.
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.
These incidents are related to log service, indexes, and metric capturing issues.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
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.
Log360 currently cannot gather information from Intune logs or cloud-integrated systems.
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 price is suitable from a perspective of different pricing options.
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.
All mandatory regulatory compliance reports are available with the integrated system, and companies can easily customize reports without coding to meet their policy or reporting requirements.
Product | Market Share (%) |
---|---|
Datadog | 5.7% |
ManageEngine Log360 | 1.2% |
Other | 93.1% |
Company Size | Count |
---|---|
Small Business | 80 |
Midsize Enterprise | 46 |
Large Enterprise | 94 |
Company Size | Count |
---|---|
Small Business | 13 |
Midsize Enterprise | 2 |
Large Enterprise | 1 |
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.
Log360 is your one-stop solution for all log management and network security challenges. It is an integrated solution that combines EventLog Analyzer and ADAudit Plus into a single console to help you manage your Active Directory auditing and network security easily.
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