Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.
| Product | Market Share (%) |
|---|---|
| Elastic Observability | 3.9% |
| Dynatrace | 8.8% |
| Datadog | 7.2% |
| Other | 80.1% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Application Performance Monitoring (APM) and Observability | Sep 3, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Sep 3, 2025 | Download |
| Comparison | Elastic Observability vs Datadog | Sep 3, 2025 | Download |
| Comparison | Elastic Observability vs Dynatrace | Sep 3, 2025 | Download |
| Comparison | Elastic Observability vs Splunk AppDynamics | Sep 3, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Wazuh | 3.7 | N/A | 80% | 48 interviewsAdd to research |
| Dynatrace | 4.4 | 8.8% | 95% | 349 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 390 |
| Midsize Enterprise | 234 |
| Large Enterprise | 1112 |
Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.
What are the most important features of Elastic Observability?Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.
PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
| Author info | Rating | Review Summary |
|---|---|---|
| Senior Consultant at Skillfield | 4.5 | My experience with Elastic Observability is extensive, starting with logs and evolving to include robust central management, numerous connectors, real-time telemetry, and a comprehensive UI. Although query language learning is needed, AI-driven features simplify custom queries and alerts. |
| Product Owner at Swisscom | 5.0 | I utilize Elastic Observability to analyze cloud-based workloads and manage anomalies. Its monitoring, dashboarding, and alerting features are valuable. However, compatibility with older databases needs improvement. While beneficial for users, profitability isn't directly assessed. I'm exploring alternatives like Check Point. |
| Chief Cloud Architect at a tech services company with 11-50 employees | 5.0 | Elastic Observability offers a unified platform for businesses, allowing scalability and multitenancy, ideal for managed service providers. Although it excels in openness across environments, improvements in asset discovery and log parsing would be beneficial. It outshines competitors like VMware. |
| Enterprise Architect at a mining and metals company with 10,001+ employees | 4.5 | I use Elastic for monitoring integration, particularly with OpenShift tools, to track messages and avoid breakdowns. Its built-in query and report features are valuable, though less user-friendly than Azure Monitor. Elastic effectively supports our integration efforts and reduces downtime risks. |
| Senior Technical Sales at a tech vendor with 1,001-5,000 employees | 3.0 | No summary available |
| Solution Architect at HCL Technologies | 4.0 | No summary available |
| IT Manager at Software Gurus | 3.5 | I find Elastic Observability valuable for its text search feature, but it needs better log retrieval and configuration flexibility. We've struggled with setup compared to other tools like Dynatrace, which is why we haven't seen returns or continued its primary use. |
| Principal Reliability Engineer at a retailer with 10,001+ employees | 4.0 | We use Elastic Observability for collecting logs and application performance monitoring, leveraging centralized logging and visualization with Grafana. Its Elastic Common Search enhances log search organization-wide. It boosts efficiency and ROI, though improved standardization and schema are needed. We deploy on Microsoft Azure. |
