Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.
| Product | Market Share (%) |
|---|---|
| Elastic Observability | 4.6% |
| Dynatrace | 10.2% |
| Datadog | 8.5% |
| Other | 76.7% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Application Performance Monitoring (APM) and Observability | Aug 29, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Aug 29, 2025 | Download |
| Comparison | Elastic Observability vs Datadog | Aug 29, 2025 | Download |
| Comparison | Elastic Observability vs Dynatrace | Aug 29, 2025 | Download |
| Comparison | Elastic Observability vs New Relic | Aug 29, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Wazuh | 3.7 | N/A | 80% | 48 interviewsAdd to research |
| Dynatrace | 4.4 | 10.2% | 95% | 349 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 395 |
| Midsize Enterprise | 237 |
| Large Enterprise | 1121 |
Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.
What are Elastic Observability's key features?Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.
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. |
