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Coralogix vs Resolve AI comparison

 

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

Coralogix
Ranking in AI Observability
8th
Average Rating
8.4
Reviews Sentiment
6.5
Number of Reviews
22
Ranking in other categories
Application Performance Monitoring (APM) and Observability (14th), Log Management (11th), Security Information and Event Management (SIEM) (12th), API Management (11th), Streaming Analytics (13th), Anomaly Detection Tools (2nd)
Resolve AI
Ranking in AI Observability
50th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
AIOps (23rd), AI Software Development (56th)
 

Mindshare comparison

As of May 2026, in the AI Observability category, the mindshare of Coralogix is 1.7%, down from 5.7% compared to the previous year. The mindshare of Resolve AI is 1.1%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Observability Mindshare Distribution
ProductMindshare (%)
Coralogix1.7%
Resolve AI1.1%
Other97.2%
AI Observability
 

Featured Reviews

Arka Sarkar - PeerSpot reviewer
Technical Solution Support Development Engineer at Ericsson Global
Centralized monitoring has transformed telecom troubleshooting and now reduces downtime proactively
Coralogix works well for our needs, but there are a few areas where improvements can be made. One area is querying performance for large-scale data sets. When we are dealing with very high log volumes, some complex queries take time to return results. Improving query speed and optimization would enhance the troubleshooting experience. Another point is the learning curve for advanced features. While basic usage is straightforward, advanced querying and dashboard configurations can take time for new users we are onboarding. We have faced this situation in our organization's domain frequently. More simplified UI options or guided templates would help new team members onboard faster. Additionally, dashboard customization flexibility needs improvement. Although dashboards are useful, having more flexibility in customization would make them even more powerful. An important point is cost optimization. Since log volume is high in our environment, better visibility and control over cost optimization would be beneficial. These are minor improvements overall. Coralogix already provides strong capabilities for centralized logging and monitoring, but enhancing these areas would make it even more efficient for large-scale environments in our telecom servers. Improvements could include query performance, alert noise reduction, and ease of use for advanced features, especially for large-scale environments like ours.
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
8%
Comms Service Provider
8%
Computer Software Company
8%
Construction Company
20%
Insurance Company
12%
Financial Services Firm
10%
Manufacturing Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise7
Large Enterprise11
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Coralogix?
Cost was the only major reason for switching from a different solution.
What needs improvement with Coralogix?
Coralogix can be improved by having better documentation to help new people onboard into this platform and understand the systems, including how they can integrate their cloud provider to better un...
What is your primary use case for Coralogix?
My main use case for Coralogix was that we transferred from DataDog because DataDog was expensive at the time, and we wanted something more cost-effective. The VP of R&D thought Coralogix would...
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Comparisons

 

Overview

 

Sample Customers

Payoneer, AGS, Monday.com, Capgemini
Information Not Available
Find out what your peers are saying about Datadog, Dynatrace, SentinelOne and others in AI Observability. Updated: May 2026.
896,387 professionals have used our research since 2012.