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Coralogix mindshare

As of August 2025, the mindshare of Coralogix in the Application Performance Monitoring (APM) and Observability category stands at 1.1%, up from 0.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Coralogix1.1%
Dynatrace10.2%
Datadog8.5%
Other80.2%
Application Performance Monitoring (APM) and Observability

PeerResearch reports based on Coralogix reviews

TypeTitleDate
CategoryApplication Performance Monitoring (APM) and ObservabilityAug 28, 2025Download
ProductReviews, tips, and advice from real usersAug 28, 2025Download
ComparisonCoralogix vs DatadogAug 28, 2025Download
ComparisonCoralogix vs DynatraceAug 28, 2025Download
ComparisonCoralogix vs New RelicAug 28, 2025Download
Suggested products
TitleRatingMindshareRecommending
Wazuh3.7N/A80%48 interviewsAdd to research
Dynatrace4.410.2%95%349 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business6
Midsize Enterprise1
Large Enterprise4
By reviewers
By visitors reading reviews
Company SizeCount
Small Business109
Midsize Enterprise69
Large Enterprise221
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
11%
Computer Software Company
10%
Manufacturing Company
8%
Comms Service Provider
7%
Healthcare Company
7%
Media Company
5%
Insurance Company
5%
Retailer
4%
University
4%
Wellness & Fitness Company
4%
Construction Company
3%
Educational Organization
3%
Real Estate/Law Firm
3%
Outsourcing Company
3%
Government
3%
Performing Arts
2%
Non Profit
2%
Energy/Utilities Company
2%
Hospitality Company
1%
Consumer Goods Company
1%
Transportation Company
1%
Recreational Facilities/Services Company
1%
Marketing Services Firm
1%
Venture Capital & Private Equity Firm
1%
Legal Firm
1%

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Coralogix customers

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Coralogix Reviews Summary
Author infoRatingReview Summary
DevOps at a tech vendor with 201-500 employees4.5My organization uses Coralogix for hosting metrics due to its ease of use and open-source support via OpenTelemetry. It's a beneficial observability tool, although I hope for more AI integration. We utilize it on Amazon Web Services.
SDE II at Nutanix4.0We are developing a reconciliation system for daily transaction verification and use Coralogix, which offers a valuable time range feature for precise log retrieval. However, we need better log categorization and a more intuitive interface. New Relic is a significant competitor.
Platform Engineer at a tech vendor with 51-200 employees4.0I use Coralogix to protect our customers against attacks, valuing its Social Security feature for various systems. However, I believe the customizable dashboards could improve efficiency. Compared to DataDog, Coralogix offers better usability but has a learning curve.
Engineering Manager at a tech vendor with 51-200 employees3.5We are using Coralogix for log monitoring and creating dashboards, which we find beneficial. However, the lack of AI for anomaly detection and bandwidth concerns need improvement. We are considering Grafana Loki as an in-house solution.
Head SRE Latam at PayU4.0We use Coralogix mainly for storing logs and appreciate its ability to correlate logs, metrics, and traces. However, its documentation could improve, and it needs better data manipulation features. We deploy it on Amazon Web Services (AWS).
VP of Engineering at a financial services firm with 51-200 employees4.0No summary available
IT Engineer at a venture capital & private equity firm with 1,001-5,000 employees4.5We use Coralogix to analyze our log metrics and secure real-time data. We value its alerting and incident management features. We switched from open-source solutions, and despite potential module integration improvements, Coralogix suits us better than alternatives like Palo Alto.
Senior data engeneer at a manufacturing company with 11-50 employees4.5No summary available