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Correlsense SharePath vs Elastic Observability comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Correlsense SharePath
Ranking in Application Performance Monitoring (APM) and Observability
60th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
11th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
IT Infrastructure Monitoring (13th), Log Management (14th), Container Monitoring (5th), Cloud Monitoring Software (12th)
 

Mindshare comparison

As of October 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Correlsense SharePath is 0.8%, up from 0.2% compared to the previous year. The mindshare of Elastic Observability is 1.6%, down from 3.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Elastic Observability1.6%
Correlsense SharePath0.8%
Other97.6%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

it_user394539 - PeerSpot reviewer
IT Capacity and Performance Manager at a financial services firm with 501-1,000 employees
It's a flexible APM solution that can be deployed across multiple applications.
It's a flexible APM solution that can be deployed across multiple applications. It's hugely configurable in terms of how the data is presented and categorized. It's reliable, with low administration overheads once up and running It provides customer insight and behaviour. It's improved our…
Stefan Decuypere - PeerSpot reviewer
Technology Consultant at Hybrid software
Real-time dashboards and visual insights have streamlined issue analysis and monitoring
After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system, I know what it costs but am not directly involved in cost-benefit evaluations or maintenance, which is handled by another team. I develop the visual representation of the data and frankly, I don't see major gaps in my application or anything I would really miss; I appreciate the fast pace of the developments that have occurred in the last couple of years. Regarding room for improvement in Elastic Observability, I would have preferred built-in tools to manage the indexes on deployment for better visual representation, as the initial feedback regarding system performance and data storage was fairly primitive and lacking.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It's a flexible APM solution that can be deployed across multiple applications."
"The most valuable feature of Elastic Observability is the text search."
"In addition to the fact that we are more proactive in the detection of incident before they occur, we can on one click see the request path from the customer to the backend."
"Machine learning is the most valuable feature of this solution."
"The solution allows us to track performance via metrics and we're able to see where latency is happening."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"The solution allows us to dig deep into data."
"It's easy to deploy, and it's very flexible."
 

Cons

"Scaling out requires the added cost of multiple servers, and we don't have plans to do that."
"When opening tickets, we cannot use our team mailbox."
"There is room for improvement regarding its APM capabilities."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"One example is the inability to monitor very old databases with the newest version."
"The price is the only issue in the solution. It can be made better and cheaper."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"There could be more low-code features included in the product."
 

Pricing and Cost Advice

Information not available
"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."
"The product’s pricing needs improvement."
"Elastic Observability's pricing could be better for small-scale users."
"The price of Elastic Observability is expensive."
"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."
"Pricing is one of those situations where the more you use it, the more you pay."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
13%
Computer Software Company
9%
Comms Service Provider
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise16
 

Questions from the Community

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What is your experience regarding pricing and costs for Elastic Observability?
The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...
What needs improvement with Elastic Observability?
After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...
What is your primary use case for Elastic Observability?
My use case for Elastic Observability is observability, as we upload our customers' data, including logs, and when there is an issue, we can analyze what went wrong.
 

Also Known As

SharePath
No data available
 

Overview

 

Sample Customers

London South Bank University, First International Bank of Israel
PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: October 2026.
919,809 professionals have used our research since 2012.