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Coralogix vs Sumo Logic Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2024

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 Application Performance Monitoring (APM) and Observability
21st
Average Rating
8.4
Reviews Sentiment
6.6
Number of Reviews
13
Ranking in other categories
Log Management (21st), Security Information and Event Management (SIEM) (22nd), API Management (15th), Streaming Analytics (15th), Anomaly Detection Tools (1st), AI Observability (18th)
Sumo Logic Observability
Ranking in Application Performance Monitoring (APM) and Observability
24th
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
6
Ranking in other categories
Cloud Monitoring Software (21st), AIOps (14th)
 

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Coralogix is 1.1%, up from 0.8% compared to the previous year. The mindshare of Sumo Logic Observability is 0.5%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Coralogix1.1%
Sumo Logic Observability0.5%
Other98.4%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Naveenkumar Lakshman - PeerSpot reviewer
Presales Engineer at Crayon AS
Centralized monitoring has improved real-time issue tracking and reduced root cause analysis time
One of the best features that Coralogix offers is that it is integration friendly. I can seamlessly work with different cloud providers including AWS, Azure, and GCP. I can monitor Kubernetes or Docker platforms as well, and I can integrate with the DevOps chain including Jenkins and all infrastructure code, Terraform, or Ansible. Coralogix has positively impacted my organization by providing a centralized console to monitor the dashboard, giving me rich flexibility to see different sorts of data that is spread across the logs, metrics, or traces, which are the typical pillars of the observability tool. I have the interface where I can use the drag-and-drop feature, and I can create different types of charts. Mainly, I have the line charts and time series ones that I generally use in many use cases, gauges, tables, pie charts, or markdown widgets. These are the ones generically available, and I can switch between the visualization types. I am getting the underlying query in that and can import and export dashboards built upon the JSON format. I can have my own APIs integrated with my dashboards as well, such as with Terraform, which is useful for scaling across my environments. Regarding root cause analysis, mainly what I can do is correlate across all of the layers because the main logs that I work on are storage-related, including CIFS, NFS, SAN traffic, and the metrics including storage, throughput, or VM resource usage. Being able to view logs, metrics, or traces available, I get all of these in one place, and I can do root cause analysis much quicker.
Shamshir Nangla - PeerSpot reviewer
Site Reliability Engineer at LHV Bank
Getting up and running is easy, even for a newbie but management of searches definitely needs improvement
Operational effectiveness with regards to when there's an issue, when there's a reactive issue, people are able to, or as well as proactively, actually, because we use their PagerDuty integrations. We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening. With those same alerts, obviously, with that platform, you can use it to reactively start looking at troubleshooting issues as they're happening right then and there or incidents. So it's been very, very good for alerting and for troubleshooting issues. For predicting issues before they happen, it is not very good. They have a feature called anomaly detection, but I think it's quite premature compared to other stuff out there. So it's good for alerts and for troubleshooting operational effectiveness. When your operations are down or segregated, it's perfect because it will help you diagnose the issues.

Quotes from Members

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

Pros

"The solution offers very good convenience filtering."
"In my experience, the best feature Coralogix offers is that the dashboard is pretty good."
"The most valuable feature of Coralogix is that it is a very good vendor for metrics."
"For now, we have not experienced any stability issues."
"Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams."
"The best feature of this solution allows us to correlate logs, metrics and traces."
"The solution is easy to use and to start with."
"The log monitoring is good, and the dashboards that we create are beneficial."
"I have not seen any stability issues in the product."
"Sumo Logic Observability presents a range of valuable features, including well-crafted dashboards and a diverse selection of helpful apps. However, personally, I don't hold a favorable opinion of the solution. While I don't struggle with writing queries, my main difficulty lies in recruiting competent individuals and ensuring their proficiency in utilizing the solution. This often leads to additional challenges and complexities. From my perspective, when compared to Microsoft Sentinel or even Splunk, Sumo Logic Observability has a steeper learning curve. One contributing factor to this disparity is the solution's long existence in the market compared to Synlogic. Nevertheless, I acknowledge that there are capable and knowledgeable professionals employed at Sumo Logic Observability. The effectiveness of the solution largely depends on how it is integrated into your internal operations and environment. Its utility and benefits can vary significantly. It is worth noting that organizations like the NSA and, I believe, the CIA used it in the past, primarily for rapidly searching and analyzing large volumes of data. To leverage its capabilities effectively, you must determine how to tailor it to your specific needs."
"Alerting and consistency are key. We have different tiers with log collectors, and continuous querying provides near-real-time updates. It's almost like instantly when something happens, like pending transactions or error fees. This helps reduce incident resolution time compared to waiting for thresholds on other platforms. We can continue logging in with them seamlessly and quickly get into action."
"We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening."
"The product is easy to learn."
"The solution allows multiple groups to converge on a unified platform, allowing for different utilization by various teams."
 

Cons

"In terms of documentation, I think there can be more user-friendly documentation that stresses more on day-to-day issues."
"Coralogix should have some AI capabilities to auto-detect anomalies and provide suggestions. The increasing volume of data and the resulting bandwidth charges are concerns."
"We want it to work at what it is expected to work at and not really based on the updated configuration which one developer has decided to change."
"The features we were missing in the past were related to the way we see our metrics and aggregate our data."
"The user interface could be more intuitive and explanatory."
"The documentation of the tool could be improved"
"From my experience, Coralogix has horrible Terraform providers."
"The customizable dashboards haven't really helped with my company's efficiency at all, and I think there's room for improvement."
"Documentation could be better. While it's generally good, sometimes finding what you need requires extensive searching. It's not always clear where to look for specific things."
"SearchUI.exe is a bit clunky in the product, making it an area where the product needs improvements."
"Fine-grained data can be quite frustrating to work with and should be made easier."
"The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five minutes."
"Implementing a more streamlined enrichment process, and conceptualizing the observability data collection as an ETL pipeline would be helpful."
 

Pricing and Cost Advice

"The cost of the solution is per volume of data ingested."
"We are paying roughly $5,000 a month."
"The platform has a reasonable cost. I rate the pricing a three out of ten."
"Currently, we are at a very minimal cost, which is around $400 per month since we have reduced our usage. Initially, we were at $900 per month."
"Now, they’re not charging by ingests anymore. You should expect the price to be a bit of an unknown and to basically increase as the business increases."
"I started on the free tier to try it out, but because of our usage, we're now paying for it."
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Top Industries

By visitors reading reviews
Financial Services Firm
10%
Computer Software Company
10%
Manufacturing Company
8%
Comms Service Provider
6%
Computer Software Company
11%
Transportation Company
10%
Financial Services Firm
10%
Healthcare Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise5
No data available
 

Questions from the Community

What do you like most about Coralogix?
Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams.
What is your experience regarding pricing and costs for Coralogix?
To monitor and manage costs associated with Coralogix, I analyze my trend, looking at how the data is being ingested. Generally, it is charged based on what we store, and therefore there are certai...
What needs improvement with Coralogix?
I think Coralogix can be improved with flexible dashboards. Creating specific views, such as saving a dev environment as a separate view rather than adding filters every time, would be great.
What needs improvement with Sumo Logic Observability?
The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five m...
What is your primary use case for Sumo Logic Observability?
We used it for log observability – log aggregation specifically.
 

Overview

 

Sample Customers

Payoneer, AGS, Monday.com, Capgemini
Information Not Available
Find out what your peers are saying about Coralogix vs. Sumo Logic Observability and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.