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Coralogix vs Elastic Search 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:
 

ROI

Sentiment score
5.0
Coralogix improves system reliability and reduces downtime, saving time and money with easy cloud deployment and faster issue resolution.
Sentiment score
3.9
Companies using Elastic Search experience operational efficiencies, faster response times, cost savings, and improved system performance with open-source benefits.
Previously one to two hours were required to resolve major issues. Now it takes around ten to twenty minutes, representing approximately a sixty to seventy percent reduction in resolution time.
Technical Solution Support Development Engineer at Ericsson Global
I have seen a return on investment with Coralogix, particularly in terms of time saved.
Presales Engineer at Crayon AS
I see a return on investment in time saving.
Cloud engineer at To the new
We have not purchased any licensed products, and our use of Elastic Search is purely open-source, contributing positively to our ROI.
Software Engineer at Government of India
It is stable, and we do not encounter critical issues like server downtime, which could result in data loss.
SOC A2 at Innodata-ISOGEN
The main benefits observed from using Elastic Search include improvements in operational efficiency, along with cost, time, and resource savings.
Senior Devops Engineer at Ubique Digital LTD
 

Customer Service

Sentiment score
7.3
Coralogix customer service excels in responsiveness and expertise, often surpassing competitor expectations in technical support and effective solutions.
Sentiment score
6.3
Elastic Search's customer service is praised for expertise and resources, though response times can vary after contracts.
I am satisfied with their response time and overall competence.
Engineering Manager at a tech vendor with 51-200 employees
The support team has good technical knowledge and is able to understand log-related monitoring issues without much back and forth.
Technical Solution Support Development Engineer at Ericsson Global
They are helpful, especially when we created several custom dashboards.
SDE II at Nutanix
For P1 tickets, they provide very immediate quick responses and join calls to support and troubleshoot the issue accordingly.
Elastic Engineer at The Unique Identification Authority of India (UIDAI)
The customer support for Elastic Search is one of the best I have ever tried.
Software Developer at a media company with 10,001+ employees
They have always been really responsible and responsive to my requests.
Security Lead at a tech vendor with 501-1,000 employees
 

Scalability Issues

Sentiment score
7.1
Coralogix efficiently scales in large environments, handling growth, log volumes, and microservices smoothly with cloud infrastructure integration.
Sentiment score
7.2
Elastic Search excels in scalable data management on cloud platforms, efficiently handling unstructured data and large user numbers.
As our system usage and log volume increased, Coralogix was able to handle the growth without requiring any major changes from our side.
Technical Solution Support Development Engineer at Ericsson Global
We have never faced any scalability issues.
SDE II at Nutanix
Handling scaling with Coralogix is good, as it is easy to scale up or down as my needs change.
Presales Engineer at Crayon AS
We can search through that document quite easily, sometimes in 7 milliseconds, sometimes one or two milliseconds.
Product Engineer at A3L
Performance tests involving one million requests at once, we encountered issues with shards and nodes not upscaling as needed, leading to crashes and minimal data loss.
Consultant at a tech vendor with 10,001+ employees
I would rate its scalability a ten.
Backend Developer
 

Stability Issues

Sentiment score
8.0
Coralogix is highly rated for stability and reliability, with occasional minor delays but no significant performance issues.
Sentiment score
7.7
Elastic Search is stable for up to one terabyte, with slowness often due to system resources, not the software.
There are no downtimes, no crashes, or any performance issues that I've noticed since we started using it.
Platform Engineer at a tech vendor with 51-200 employees
We use it continuously for monitoring and troubleshooting, and we have not faced any major stability issues that impacted our work significantly.
Technical Solution Support Development Engineer at Ericsson Global
High CPU usage on one pod can be averaged out by others, concealing potential issues.
SDE II at Nutanix
The data transfer sometimes exceeded the bandwidth limits without proper notification, which caused issues.
SOC A2 at Innodata-ISOGEN
The stability of Elasticsearch was very high.
Backend Developer
When you put one keyword, everything related to that keyword in your ecosystem will showcase all the results.
Chief Information Security Officer at CDSL Ventures Limited
 

Room For Improvement

Coralogix users seek better cost management, AI integration, simpler interfaces, dashboard customization, and improved support for various technical features.
Users seek enhancements in Elastic Search's mapping, scalability, interface, AI features, and support, highlighting memory, pricing, and security issues.
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.
Technical Solution Support Development Engineer at Ericsson Global
We require some form of grouping or categorization of logs to identify them better.
SDE II at Nutanix
Coralogix should have some AI capabilities to auto-detect anomalies and provide suggestions.
Engineering Manager at a tech vendor with 51-200 employees
From a technical point of view, there are no significant issues recalled as Elastic Search has been absolutely awesome for this use case and covers 100% of the needs.
Principal Scientific Computing Software Engineer at a educational organization with 1,001-5,000 employees
If I need to parse one million records saved into Elastic Search, it becomes a nightmare because I need to do the pagination, and it is very problematic in that regard.
Lead Engineer at Spidersilk
Observability features like search latency, indexing rate, and maybe rejected requests should be added to make the platform more reliable and accessible for everyone.
Senior System Engineer at EPAM Systems
 

Setup Cost

Coralogix offers flexible usage-based pricing with costs from $400-$5,000, emphasizing scalability and cost management for enterprises.
Elastic Search's flexible pricing starts affordably but can increase significantly with scalability, features, and managed services.
Despite the expense, I believe it is worth the money to have Coralogix as a tool.
SDE II at Nutanix
Currently, we are at a very minimal cost, which is around $400 per month since we have reduced our usage.
Engineering Manager at a tech vendor with 51-200 employees
It is charged based on what we store.
Presales Engineer at Crayon AS
On the AWS side, it is very expensive because they charge based on query basis or how much data is transferred in and out, making it very expensive.
Lead Engineer at Spidersilk
Having the hosted solution and not having to pay for essentially a DevOps person on staff to manage makes it affordable.
CTO at a tech services company with 1-10 employees
You can host it on-premises, which would incur zero cost, or take it as a SaaS-based service, where the expenses remain minimal.
Senior Software Engineer at Agoda
 

Valuable Features

Coralogix offers intuitive UI, real-time logging, AI insights, seamless integrations, and efficient log management for improved troubleshooting and visualization.
Elastic Search offers advanced search, scalability, speed, cost-effectiveness, machine learning, and seamless integration, enhancing its overall appeal.
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.
Presales Engineer at Crayon AS
Coralogix has positively impacted our organization by providing us with a clearer data flow, which allows us to analyze data better and find errors easier using the smart logs it offers.
Automation Engineer at MyDubai.io
Out of real-time analytics, cost-efficient storage, and AI-powered insights, the most valuable for my team has been the cost-efficient storage.
software developer
Elastic Search makes handling large data volumes efficient and supports complex search operations.
Software Engineer at Government of India
The most valuable feature of Elasticsearch was the quick search capability, allowing us to search by any criteria needed.
Backend Developer
The speed with which Elastic Search is able to search through all of the documents we place into it is quite remarkable, as we search through 65 billion documents in less than a second in most cases, on a constant consistent basis.
Director, Software Engineering at a tech vendor with 10,001+ employees
 

Categories and Ranking

Coralogix
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), AI Observability (8th)
Elastic Search
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
97
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (5th), Search as a Service (1st), Vector Databases (2nd)
 

Mindshare comparison

Coralogix and Elastic Search aren’t in the same category and serve different purposes. Coralogix is designed for Application Performance Monitoring (APM) and Observability and holds a mindshare of 1.1%, up 1.0% compared to last year.
Elastic Search, on the other hand, focuses on Indexing and Search, holds 10.9% mindshare, down 24.9% since last year.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Coralogix1.1%
Dynatrace5.5%
Datadog4.7%
Other88.7%
Application Performance Monitoring (APM) and Observability
Indexing and Search Mindshare Distribution
ProductMindshare (%)
Elastic Search10.9%
OpenText Knowledge Discovery (IDOL)6.3%
Lucidworks5.9%
Other76.9%
Indexing and Search
 

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.
reviewer2817942 - PeerSpot reviewer
Senior Software Engineer at a consultancy with 11-50 employees
Logging and vector search have transformed observability and empowered reliable ai agents
Elastic Search is not specifically being used for certain purposes. I deploy Elastic Search database on the cloud and use cloud services so that nobody can attack. However, I do not use Elastic Search to resolve attack issues. The basic main purpose of Elastic Search, as of now, I feel it can do more in the AI area. Sometime I saw that when I am developing RAG and have to generate the embeddings, which I call metadata, sometimes it tries to fail. That durability or issue handling should be improved, but apart from that, I did not find anything as of now. As per my use case, whatever I am using seems pretty good. Apart from that, some definitely improvement will be there. One improvement is that it should be faster. Whenever I am searching any logs, it takes much time. For example, if I open my log in Notepad or a similar tool, I can search the text within a second. With Elastic Search, it takes a little bit of time, ten to fifteen seconds. That can be improved. Sometimes, engineers take time to assign when I create a ticket.
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
8%
Comms Service Provider
8%
Computer Software Company
8%
Financial Services Firm
13%
Computer Software Company
9%
Manufacturing Company
9%
Retailer
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise7
Large Enterprise11
By reviewers
Company SizeCount
Small Business40
Midsize Enterprise12
Large Enterprise47
 

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...
What is your experience regarding pricing and costs for ELK Elasticsearch?
Elastic Search is easy to use in Azure cloud. Mostly, my full company uses Azure cloud, so it is easy to use. Cost-wise, my company found Elastic Search is good. Cost matters. Based on cost and use...
What needs improvement with ELK Elasticsearch?
Elastic Search is not specifically being used for certain purposes. I deploy Elastic Search database on the cloud and use cloud services so that nobody can attack. However, I do not use Elastic Sea...
What is your primary use case for ELK Elasticsearch?
I have been using Elastic Search for the last five years. I have a couple of use cases. First, I use it for logging purposes and observability logging of our product. In Azure, Elastic Search has g...
 

Comparisons

 

Also Known As

No data available
Elastic Enterprise Search, Swiftype, Elastic Cloud
 

Overview

 

Sample Customers

Payoneer, AGS, Monday.com, Capgemini
T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: May 2026.
896,034 professionals have used our research since 2012.