Elastic Observability Reviews

Name: Elastic Observability
Brand: Elastic
Rating: 4.0 (26 reviews)

4.0 out of 5

26 reviews
88% willing to recommend

What is Elastic Observability?

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.

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Elastic Observability is the #4 ranked solution in top Container Monitoring solutions, #7 ranked solution in APM tools, #7 ranked solution in Infrastructure Monitoring tools, #7 ranked solution in top Cloud Monitoring Software, and #15 ranked solution in Log Management Software. PeerSpot users give Elastic Observability an average rating of 8.0 out of 10. Elastic Observability is most commonly compared to Dynatrace: Elastic Observability vs Dynatrace. Elastic Observability is popular among the large enterprise segment, accounting for 66% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 19% of all views.

Buyer's Guide

Elastic Observability

April 2025

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Featured Elastic Observability reviews

Adelina Craciun

Product Owner at Swisscom

The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.

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Subramani K

Solution Architect at HCL Technologies

So Elastic is basically clusters, right? Basically three, we can go with the basic cluster is a three note cluster. So the implementation is quite simple. It's not very complex. So we have to architect the solution in such a way that we have the right number of replicas and right number of charts and all those to hold the data. So basically we have to architect based on the data ingestion, how much data we are going to ingest in the cluster. So this setup is pretty simple, but we have to have the right inputs, right decisions in place before we even implement it.

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SRIDHAR KARRA

Chief Operating Officer at Integra Micro Software Services, Bangalore

Right now, I don't have any comments on what needs to be improved because I handle the delivery unit at a CEO's level. So, it's my team who works hands-on and on a day-to-day basis. Hence, they may be the right people to comment on this. The price of the solution can make a 100 percent difference. I think the licensing model may not have major issues because it's only a node-based one or something. However, the customers should first consume the existing features completely because quite a few customers do not use the complete capacity of Elastic's enterprise version. So that's how things are in India right now. The price is the only issue in the solution. It can be made better and cheaper.

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Elastic Observability mindshare

Product category:

As of May 2025, the mindshare of Elastic Observability in the Application Performance Monitoring (APM) and Observability category stands at 5.2%, down from 5.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

PeerResearch reports based on Elastic Observability reviews

Type	Title	Date
Category	Application Performance Monitoring (APM) and Observability	Apr 30, 2025	Download
Product	Reviews, tips, and advice from real users	Apr 30, 2025	Download
Comparison	Elastic Observability vs Datadog	Apr 30, 2025	Download
Comparison	Elastic Observability vs Dynatrace	Apr 30, 2025	Download
Comparison	Elastic Observability vs Splunk AppDynamics	Apr 30, 2025	Download

Title	Rating	Mindshare	Recommending
Dynatrace	4.4	10.6%	95%	346 interviews Add to research
Datadog	4.3	8.8%	97%	188 interviews Add to research

Valuable Features

Elastic Observability offers diverse features like unlimited licenses, cost-effectiveness, easy deployment, stable architecture, and robust support. Users appreciate its powerful search capability, centralized logging, and ability to integrate seamlessly with other services. Kibana enhances visibility, enabling performance monitoring and security management. The tool's machine learning, flexible visualization, and log analytics capabilities are highly valued alongside its scalability and open-source nature. It excels in optimizing data transfer, supporting multitenancy, and providing rapid incident response.

"The most valued feature of Elastic is its log analytics capabilities."
"I found Elk to be excellent for log analytics, security analytics, application code-level analytics, collaboration with DevOps teams, CI/CD, microservices, and Kubernetes, specifically cloud-native or cloud-specific tasks."
"I recommend Elastic Observability for its completeness of vision and wide ecosystem."

Room for Improvement

Users find Elastic Observability lacks system intelligence and predictive analytics. There is difficulty with automation, visualization, and integration of machine learning. Metrics are insufficient, and synthetic monitoring is not on par with competitors. The platform’s customization options and user interface need improvement. Pricing is a concern, and training expertise is costly. Setting up and managing infrastructure complexities poses challenges, with room for growth in data retrieval, traceability, and on-premise configuration flexibility.

"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."
"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."
"Simplifying the parsing of logs and manual efforts would also be beneficial."

ROI

Elastic Observability is recognized for its cost-effectiveness and efficiency in achieving objectives at a reduced cost. Organizations experienced a decrease in the number of incidents due to automated processes, improved data management, and faster root cause analysis. It offers significant improvements in time and efficiency, contributing to data availability and the prevention of application breakdowns, although some find quantifying the exact value challenging. While beneficial for many, some users report not seeing a significant return.

Pricing

Elastic Observability offers a diverse pricing structure that varies by usage, making it appealing for large enterprises but potentially costly for startups. With open-source options, enterprise licenses, and SaaS or cloud versions, costs depend on data volume and infrastructure. Pricing rates range from $5,000 to $12,500 per node or around $25,000 annually for data ingestion. Though cheaper than competitors like Dynatrace, users report varied experiences with its affordability, citing potential expenses in public cloud deployments.

"We have been using the open-source version."
"The product is not that cheap."
"The product’s pricing needs improvement."

Popular Use Cases

Organizations primarily use Elastic Observability for monitoring application performance, central logging, and handling login events. They employ it for aggregating metrics, logs, and traces across systems. It supports detailed data analysis, enabling monitoring from user experience to infrastructure. Users integrate it with tools like Kibana for visualization and Logstash for data transformation. Additionally, it assists with security measures, network and server monitoring, application performance tracking, and business information analysis through numerous data capture points.

Service and Support

Elastic Observability's customer service and support often receive positive feedback. Many users find technical support helpful, responsive, and efficient. Dedicated resources for some users enhance their experience by providing quick, informed assistance. Documentation and online community forums also provide adequate support for several users. While some encounter minor issues, numerous users rate the service highly, noting promptness and satisfaction. Overall, they often rely on self-sufficiency due to the platform's stability.

Deployment

Elastic Observability's initial setup varies in complexity based on organizational resources and expertise. Some find it straightforward, especially for Docker installations and cloud deployments, but others encounter challenges with clusters and manual configurations. Timeframes range from a few weeks to several months, depending on the environment and technical competencies. Companies emphasize the need for competent teams familiar with Elastic tools. While not entirely automatic, many describe the process as manageable with proper architecture and planning.

Scalability

Elastic Observability offers good scalability, supporting data growth through easy expanding of nodes. While suited for smaller organizations, challenges arise at larger scales. Multiple companies manage hundreds of users, finding the tool efficient and reliable. However, scalability varies depending on licenses and infrastructure, with platinum offering better scalability options. While some rate scalability highly, others face limitations due to their setups. Many continue to increase their usage, highlighting that Elastic Observability accommodates both horizontal and vertical scaling.

Stability

Elastic Observability is highly stable, with most users experiencing no major issues. It performs well under load testing, with quick report generation. Rated between seven and ten for stability, it is favored in various scenarios. Occasional tuning is needed, but problems are minimal. Elastic APM is stable if configured correctly. While some users report minor issues, most praise its reliability. Many emphasize strong support, stability as a key feature, and favorable integration with AWS.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Elastic Observability Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

15%

Manufacturing Company

Government

Insurance Company

Retailer

Healthcare Company

Comms Service Provider

University

Energy/Utilities Company

Educational Organization

Construction Company

Real Estate/Law Firm

Media Company

Outsourcing Company

Hospitality Company

Non Profit

Transportation Company

Legal Firm

Wholesaler/Distributor

Performing Arts

Logistics Company

Recreational Facilities/Services Company

Aerospace/Defense Firm

Consumer Goods Company

Compare Elastic Observability with alternative products

Learn more about Elastic Observability

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?

Economic licensing: Offers cost-effective plans.
Extensive metrics tracking: Helps in comprehensive system monitoring.
Comprehensive logging: Centralizes log data efficiently.
Performance Monitoring: Provides robust APM capabilities.
Integration: Seamlessly integrates with other solutions.
Kibana visualization: Facilitates data visualization and reporting.
Machine learning support: Enables advanced data analysis.
Flexible deployment: Supports various deployment environments.
Rapid log searches: Enhances quick incident response.
Accessibility: Offers extensive online documentation and connector support.

What benefits or ROI should users look for in Elastic Observability reviews?

Stability: Look for consistent performance and reliability.
Compliance: Effective monitoring aids in regulation adherence.
System Security: Enhanced system monitoring and alert management.
Cost-Effectiveness: Evaluate the economic pricing models.
Scalability: Adequate scalability options for growing needs.

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.