Datadog and Elastic Security are two leading solutions in the monitoring and security space, competing in areas such as observability and threat detection. Datadog appears to have the upper hand due to its hosted nature, which simplifies infrastructure management.
Features: Datadog offers sharable dashboards, customizable alerts, and seamless integrations with platforms like AWS and Docker. It excels at visualization, ease of use, and monitoring across accounts. Elastic Security provides strong search capabilities, open-source accessibility, and flexibility for data feed integration.
Room for Improvement: Datadog could improve pricing transparency, API consistency, and documentation clarity. Users have noted the need for better integration capabilities and a structured learning path. Elastic Security should enhance usability, automation in deployment, and anomaly detection, while also making documentation more concise.
Ease of Deployment and Customer Service: Datadog is praised for its proactive customer support, ease of deployment in cloud environments, and quick responses. Elastic Security, although complex to set up, benefits from community-driven support due to its open-source nature and offers flexibility for on-premises deployment.
Pricing and ROI: Datadog's premium pricing reflects its range of services, offering significant ROI through system visibility and efficiency. Elastic Security, being open-source, presents a cost-effective option, providing community-driven customization and appealing to budget-conscious users seeking flexible solutions.
It does not require hefty security budgets and can be deployed for enterprise security effectively.
Support is prompt and helpful.
Most of the time when my team encounters issues, they receive responses within 24 hours.
It allows us to think about specific use cases, such as gathering malicious IPs in a single view and analyzing threats based on geolocation.
In terms of stability, I would rate Elastic a solid eight out of ten.
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.
My security testing team continuously reports vulnerabilities, and we have to fix and update the versions frequently.
CrowdStrike and Defender have more established threat intelligence integration due to having a larger client base.
Elastic Security consumes a lot of resources, requiring a substantial deployment setup.
The setup cost for Datadog is more than $100.
The pricing is reasonable, especially for Small Medium Enterprises (SMEs), making it a viable option for businesses building their security infrastructure.
This is beneficial for SMEs as they do not need extensive budgets for security solutions.
Elastic Security is considered cost-effective, especially at lower EPS levels.
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.
Elastic Security is as flexible and configurable as Microsoft Sentinel.
Elastic Security offers advanced features such as machine learning and integration with ChatGPT.
We require rapid processing speed for alerts and event data, and Elastic Security is very efficient at handling this level of data.
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.
Elastic Security combines the features of a security information and event management (SIEM) system with endpoint protection, allowing organizations to detect, investigate, and respond to threats in real time. This unified approach helps reduce complexity and improve the efficiency of security operations.
Additional offerings and benefits:
Finally, Elastic Security benefits from a global community of users who contribute to its threat intelligence, helping to enhance its detection capabilities. This collaborative approach ensures that the solution remains on the cutting edge of cybersecurity, with up-to-date information on the latest threats and vulnerabilities.
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