

ArcSight Logger and Datadog are both powerful tools in the log management and monitoring sector. Datadog appears to have an edge with its extensive integrations and real-time data tracking in cloud environments, offering actionable insights and a user-friendly interface.
Features: ArcSight Logger provides robust security analytics, efficient log management, and impressive processing speeds for handling complex queries. It supports detailed customization and integration capabilities. Datadog is known for intuitive dashboards, real-time data tracking, and a wide range of analytics tools, supported by extensive integrations with various cloud services.
Room for Improvement: ArcSight Logger could enhance its GUIs, report generation, and integration efficiency, as well as update outdated features. Datadog users suggest enhancing cost management, better documentation, and advancing its querying capabilities to match user needs. Improved security tools are also desired.
Ease of Deployment and Customer Service: ArcSight Logger requires on-premises deployment, which can be complex, and has reported customer service challenges since its acquisition by Micro Focus. Conversely, Datadog’s cloud-based service offers flexibility across multiple environments, with commendable customer service and technical support, although billing inquiries can occasionally be problematic.
Pricing and ROI: ArcSight Logger, while considered expensive due to its infrastructure demands, offers significant ROI in specific use cases. Datadog’s usage-based pricing can lead to cost unpredictability, especially in larger environments. Despite pricing complexities, both solutions offer strong ROI, with ArcSight focused on security and Datadog on operational efficiencies.
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.
We provide pre-implementation, implementation, and post-implementation support.
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.
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.
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.
Splunk does much more than SIEM, including log analysis, user behavior analysis, threat intelligence, and customer behavior analysis.
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 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.
ArcSight Logger installs on very minimal resources with very few requirements
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.
| Product | Mindshare (%) |
|---|---|
| Datadog | 4.1% |
| ArcSight Logger | 0.9% |
| Other | 95.0% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 10 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 81 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
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.
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