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Elastic Observability pros and cons

Vendor: Elastic

4.0 out of 5

27 reviews
88% willing to recommend

Pros & Cons summary

Elastic Observability offers cost-effective full-stack monitoring with a comprehensive toolset, including machine learning for enhanced analytics. It supports scalability, multitenancy, and efficient log analytics but requires more monitoring automation and has subpar auto-discovery, which demands manual setup. The APM capabilities need improvement, and onboarding presents a steep learning curve. Scalability and pricing transparency require attention, and although incident response is enhanced, tech buyers may find the setup cumbersome.

Buyer's Guide

Get pricing advice, tips, use cases and valuable features from real users of this product.

Prominent pros & cons

PROS

Elastic Observability offers a cost-effective solution compared to other options, making it economical and favorable for licensing.

It delivers full-stack observability, enabling deep data analysis and comprehensive logging via features like Elastic APM and a diverse set of plugins.

Machine learning capabilities and centralized logging are highlighted as valuable, along with the ability to ensure data is searchable and maintainable across the organization.

Elastic provides quick access to logs and data from various sources, significantly enhancing incident response times.

It excels in log analytics capabilities, supporting integration with DevOps and various cloud-native or cloud-specific tasks.

CONS

Elastic Observability could benefit from more automation, especially in monitoring and responding to abnormalities.

The auto-discovery and asset discovery features are inadequate, making the process cumbersome for users.

Elastic APM's visualization is lackluster compared to competitors, and its metrics are limited.

Elastic Observability should incorporate AI capabilities to enhance tracking endpoints and include predictive analytics.

Elastic Observability is perceived as costly and could benefit from more transparent pricing.

Elastic Observability Pros review quotes

reviewer1555311

Managing Director at Accenture

Jun 22, 2022

It's easy to deploy, and it's very flexible.

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RT

Technical Consultant at a manufacturing company with 5,001-10,000 employees

Jul 7, 2021

For full stack observability, Elastic is the best tool compared with any other tool .

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LB

Senior Consultant at Skillfield

Jun 3, 2025

I think Elastic Observability is already in very good shape.

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Elastic Observability

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reviewer1377360

Line Technical Agent at a comms service provider with 1,001-5,000 employees

Aug 3, 2020

The price is very less expensive compared to the other solutions.

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Solution Architect at HCL Technologies

Jun 27, 2022

The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests.

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Chief Operating Officer at Integra Micro Software Services, Bangalore

Jul 3, 2023

It has always been a stable solution.

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Strategic Innovation Specialist at Elastic

Nov 4, 2022

Machine learning is the most valuable feature of this solution.

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SU

Syed Waqar Uddin

Chief Cloud Architect at a tech services company with 11-50 employees

Nov 8, 2024

It is scalable and supports multitenancy, which is beneficial for MSPs.

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reviewer1700526

SDE-IV at a tech company with 1,001-5,000 employees

Oct 26, 2021

The solution allows us to dig deep into data.

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Senior Technical Sales at Riverbed Technology

Jan 14, 2025

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.

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Elastic Observability Cons review quotes

reviewer1555311

Managing Director at Accenture

Jun 22, 2022

If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful.

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RT

Technical Consultant at a manufacturing company with 5,001-10,000 employees

Jul 7, 2021

Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low.

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LB

Senior Consultant at Skillfield

Jun 3, 2025

The only challenging aspect for new users is often writing the query language.

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Elastic Observability

Free Report: Elastic Observability Reviews and More

Learn what your peers think about Elastic Observability. Get advice and tips from experienced pros sharing their opinions. Updated: June 2025.

858,649 professionals have used our research since 2012.

reviewer1377360

Line Technical Agent at a comms service provider with 1,001-5,000 employees

Aug 3, 2020

The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities.

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Solution Architect at HCL Technologies

Jun 27, 2022

Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included.

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Chief Operating Officer at Integra Micro Software Services, Bangalore

Jul 3, 2023

The price is the only issue in the solution. It can be made better and cheaper.

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Strategic Innovation Specialist at Elastic

Nov 4, 2022

They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base.

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SU

Syed Waqar Uddin

Chief Cloud Architect at a tech services company with 11-50 employees

Nov 8, 2024

Simplifying the parsing of logs and manual efforts would also be beneficial.

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reviewer1700526

SDE-IV at a tech company with 1,001-5,000 employees

Oct 26, 2021

The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages.

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Senior Technical Sales at Riverbed Technology

Jan 14, 2025

It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.

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Show 10 more reviews (out of 27)

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