

Datadog and Splunk ITSI are leading competitors in the IT monitoring and service management tools category. Datadog tends to have the upper hand due to its real-time monitoring capabilities and integration flexibility, which appeal to teams that prioritize rapid issue identification, while Splunk ITSI excels in providing comprehensive service analysis for IT environments.
Features: Datadog offers extensive integrations, real-time monitoring, and customizable dashboards that provide detailed insights into system performance. Its Application Performance Monitoring (APM) and alerting capabilities are also highly regarded. Splunk ITSI stands out with robust predictive analytics, episode review functions, and a holistic service analysis approach, offering an in-depth view of IT environments.
Room for Improvement: Datadog should improve its training resources and offer better cost management solutions, particularly concerning logs and APM. Users often seek more transparent pricing and training support. Splunk ITSI could enhance its integration capabilities and streamline complex processes like service analysis. Improving its user interfaces and predictive functionalities would benefit users significantly.
Ease of Deployment and Customer Service: Datadog supports deployments across private, hybrid, and public clouds, making it adaptable to various environments. Customers appreciate its responsive service despite some noted challenges with long-term ticket resolution. Splunk ITSI is more effective in on-premises and hybrid cloud environments, with users finding initial deployments complex and mixed experiences in customer service efficiency.
Pricing and ROI: Datadog's usage-based pricing can become costly due to hidden costs in additional features, but users often find the operational efficiencies justify the investment. It reports significant ROI through time savings in troubleshooting and monitoring. Splunk ITSI, while expensive, provides value through operational efficiency in high data volume environments. Users recognize its ROI but are concerned about its premium cost.
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.
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 technical support is excellent, and I would rate it at ten.
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.
Splunk is highly scalable, with the ability to expand efficiently.
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.
The setup, however, must be done correctly as incorrect deployment can lead to 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.
I would appreciate additional features in the next release of Splunk ITSI (IT Service Intelligence) such as cloud infrastructure monitoring including CICDs, Kubernetes, and similar technologies.
Splunk ITSI could benefit from including more features that other solutions support, such as vulnerability management modules.
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.
Splunk ITSI tends to be more expensive compared to some open-source solutions.
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 predictive analysis can give you proactive information about potential bottlenecks that can occur on applications, desk, storage, SQL servers, databases, or other systems.
Splunk ITSI allows for integration with threat intelligence, enabling my organization to correlate more than two events for generating alerts.
| Product | Market Share (%) |
|---|---|
| Datadog | 7.4% |
| Splunk ITSI (IT Service Intelligence) | 0.7% |
| Other | 91.9% |


| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 94 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 9 |
| Large Enterprise | 32 |
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.
Splunk IT Service Intelligence (ITSI) is a powerful analytics-driven monitoring and analytics solution that provides real-time insights into the health and performance of IT services.
It enables organizations to proactively identify and resolve issues, optimize service delivery, and improve overall IT operations. With its advanced machine learning capabilities, ITSI automatically detects anomalies, predicts future events, and prioritizes alerts based on business impact.
The solution offers a centralized view of IT services, allowing users to visualize and analyze data from multiple sources in a single dashboard. ITSI also provides customizable KPIs, service-level agreements (SLAs), and key performance indicators (KPIs) to measure and track service performance.
With its intuitive interface and powerful analytics capabilities, Splunk ITSI empowers IT teams to deliver reliable and efficient services, ensuring maximum uptime and customer satisfaction.
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