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Cribl vs Elastic Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 9, 2025

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
6.3
Cribl enhanced data management efficiency, delivering cost savings, improved processing speed, system performance, and operational flexibility for users.
Sentiment score
7.1
Elastic Observability enhances cost-effectiveness, reduces incidents, and improves efficiency, yielding significant time savings and operational benefits.
 

Customer Service

Sentiment score
6.8
Cribl customer service is praised for prompt responses, effective support, and community assistance, with a high satisfaction rating.
Sentiment score
7.7
Elastic Observability's support is praised for prompt, efficient service and effective community-driven insights, enhancing overall user experience.
The community, including the engineering and sales teams, is available on Slack and is very supportive.
 

Scalability Issues

Sentiment score
7.9
Cribl is scalable and easily integrates with CI/CD pipelines, receiving praise for efficient deployment and seamless cloud management.
Sentiment score
7.1
Elastic Observability is efficiently scalable, with performance stability across varying team sizes, influenced by subscription level and infrastructure.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
 

Stability Issues

Sentiment score
7.3
Cribl is generally rated 7-8 for stability, with minor bugs quickly addressed and continuous development enhancing reliability.
Sentiment score
8.2
Elastic Observability is praised for its robust and stable performance, efficiently handling large data volumes across industries.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
 

Room For Improvement

Cribl needs better legacy compatibility, intuitive logging, enhanced documentation, improved onboarding, and desktop server functionality for developers.
Elastic Observability needs better licensing, visualization, automation, integration, pricing, AI features, customization, and support for observability and cost transparency.
Perhaps more flexibility in terms of metrics would be helpful.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
One example is the inability to monitor very old databases with the newest version.
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal.
 

Setup Cost

Cribl offers a cost-effective, scalable pricing model with up to 30% cost reductions, appealing to mid-level and large enterprises.
Elastic Observability offers competitive pricing with variable costs, favoring enterprises over startups, requiring premiums for advanced features.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
 

Valuable Features

Cribl streamlines real-time data transformation, log collection, and routing with user-friendly features, security, and extensive integration support.
Elastic Observability offers scalable logging, seamless integrations, real-time visualization, and enhances system performance with a user-friendly, open-source model.
The community on Slack is excellent for solving questions and getting ideas.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
 

Categories and Ranking

Cribl
Ranking in Application Performance Monitoring (APM) and Observability
14th
Ranking in Log Management
13th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
10
Ranking in other categories
Security Information and Event Management (SIEM) (13th), Observability Pipeline Software (1st)
Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
7th
Ranking in Log Management
15th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
26
Ranking in other categories
IT Infrastructure Monitoring (7th), Container Monitoring (4th), Cloud Monitoring Software (7th)
 

Mindshare comparison

As of April 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Cribl is 0.6%, up from 0.1% compared to the previous year. The mindshare of Elastic Observability is 5.4%, down from 5.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Phanindra Ponnada - PeerSpot reviewer
Provides good documentation and worth the investment
As of now, there are some environments where some organizations are still on legacy infrastructure, so they are still in virtual environments and are using old versions of devices. Some companies bought Splunk, while others bought Cribl for a very low-priced license. There are some protocols to connect from Cribl to Splunk. I understand Cribl has come into the market very recently, but the tool might have had a picture in its mind where organizations might also have some legacy infrastructure. In the future, with our protocols or our level of architecture, Cribl should not come and say that it is not compatible with them. If Cribl is the reason because I have to change my environment, then I will have to end up investing more. There are some organizations where the end machines have forwarders that forward the data to Cribl, and from it, the data is forwarded to Splunk. This is how general architecture works. There are two methods of connection between Cribl and Splunk. One is the S2S protocol, which collects logs from Cribl or sends data between Cribl and Splunk. There is another method called HTTP Event Collector (HEC) and HTTPS protocol. With Cribl, connecting to Splunk mostly uses the S2S protocol. The tool supports all the latest devices and platform devices, like all the latest operating systems. There are some organizations where there is legacy infrastructure or if they are still on the old platforms. Companies using old platforms have to consider HTTP Event Collector (HEC), and then they have to change their infrastructure setup in order to fulfill that setup. In order to have Google and Splunk set up in my organization, if I have to change my existing infrastructure connectivity or setup, that might incur more cost or more investment for me to have Cribl and Splunk. Cribl should provide compatibility, or else the tool's developers should speak to the people of such organizations and understand the challenges. Cribl could have developed some version that can give backward compatibility.
Adelina Craciun - PeerSpot reviewer
Customization enables tailored monitoring and alerting across departments
The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
10%
Healthcare Company
8%
Government
7%
Financial Services Firm
20%
Computer Software Company
15%
Manufacturing Company
8%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is your experience regarding pricing and costs for Cribl?
I am not aware of the pricing details, however, I know they use a credit format for billing.
What needs improvement with Cribl?
At the moment, I don't have specific feedback on what can be improved as I do not work with Cribl daily. Perhaps more flexibility in terms of metrics would be helpful.
What is your primary use case for Cribl?
I am using Cribl to have everything centralized in one tool in terms of data collection. We were working with different Splunk customers, and Cribl helps collect data and then send it to an S3 buck...
What do you like most about Elastic Observability?
Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...
What is your experience regarding pricing and costs for Elastic Observability?
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing. However, sizing and licensing information could be clearer.
What needs improvement with Elastic Observability?
Of course, maintenance is necessary, as with any software, requiring updates with the latest features and security enhancements. It lacked some capabilities when handling on-prem devices, like netw...
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Find out what your peers are saying about Cribl vs. Elastic Observability and other solutions. Updated: April 2025.
846,617 professionals have used our research since 2012.