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Pros & Cons summary

Buyer's Guide

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Prominent pros & cons

PROS

Elastic Observability is considered inexpensive and economical compared to other tools, making it favorable in terms of license count.
It offers a comprehensive set of features, including machine learning, text search capabilities, and centralized logging across the organization.
The architecture and system stability are simple and reliable, providing a stable user experience.
Elastic Observability significantly improves incident response time with its quick access to logs and data across various sources.
It is scalable, supports multitenancy for MSPs, and is recommended for log analytics, security analytics, and cloud-native tasks.

CONS

Elastic Observability lacks predictive analytics and does not align with AIOps requirements.
Asset discovery could be improved, as the requirement to push the agent is cumbersome.
The price of Elastic Observability could be more affordable and transparent.
The complexity in scaling involves a challenging implementation process with careful calculations for node specifications and configurations.
Elastic Observability needs better AI integration and automated monitoring capabilities.
 

Elastic Observability Pros review quotes

reviewer1555311 - PeerSpot reviewer
Jun 22, 2022
It's easy to deploy, and it's very flexible.
RT
Jul 7, 2021
For full stack observability, Elastic is the best tool compared with any other tool .
reviewer1377360 - PeerSpot reviewer
Aug 3, 2020
The price is very less expensive compared to the other solutions.
Learn what your peers think about Elastic Observability. Get advice and tips from experienced pros sharing their opinions. Updated: January 2025.
831,791 professionals have used our research since 2012.
Subramani K - PeerSpot reviewer
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.
SRIDHAR KARRA - PeerSpot reviewer
Jul 3, 2023
It has always been a stable solution.
John_King - PeerSpot reviewer
Nov 4, 2022
Machine learning is the most valuable feature of this solution.
SU
Nov 8, 2024
It is scalable and supports multitenancy, which is beneficial for MSPs.
reviewer1700526 - PeerSpot reviewer
Oct 26, 2021
The solution allows us to dig deep into data.
reviewer708360 - PeerSpot reviewer
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.
Adelina Craciun - PeerSpot reviewer
Nov 7, 2024
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
 

Elastic Observability Cons review quotes

reviewer1555311 - PeerSpot reviewer
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.
RT
Jul 7, 2021
Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low.
reviewer1377360 - PeerSpot reviewer
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.
Learn what your peers think about Elastic Observability. Get advice and tips from experienced pros sharing their opinions. Updated: January 2025.
831,791 professionals have used our research since 2012.
Subramani K - PeerSpot reviewer
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.
SRIDHAR KARRA - PeerSpot reviewer
Jul 3, 2023
The price is the only issue in the solution. It can be made better and cheaper.
John_King - PeerSpot reviewer
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.
SU
Nov 8, 2024
Simplifying the parsing of logs and manual efforts would also be beneficial.
reviewer1700526 - PeerSpot reviewer
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.
reviewer708360 - PeerSpot reviewer
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.
Adelina Craciun - PeerSpot reviewer
Nov 7, 2024
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