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Cribl vs Elastic Stack comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 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

Cribl
Ranking in Log Management
11th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
10
Ranking in other categories
Application Performance Monitoring (APM) and Observability (14th), Security Information and Event Management (SIEM) (13th), Observability Pipeline Software (1st)
Elastic Stack
Ranking in Log Management
12th
Average Rating
7.8
Reviews Sentiment
6.5
Number of Reviews
16
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the Log Management category, the mindshare of Cribl is 1.2%, up from 0.2% compared to the previous year. The mindshare of Elastic Stack is 4.5%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management
 

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.
Mahesh Ramichetty - PeerSpot reviewer
A stable product that can be fine-tuned easily
Elastic Stack provides all sorts of things, so it provides Elasticsearch for the transformations into a specific format, and pipelines can be defined for distributed applications along with the logs that come in the JSON format, which is clean. It's only the enhancements or the security that the product lacks and needs to be enhanced. I don't think further enhancement of the features needs to be added to the solution because it is already equivalent to a monitoring or alerting system, like Dynatrace and other tools. Some developments in the area of AI, which Elastic Stack is currently working on, should be fine in terms of the enhancements. Whenever some critical issue happens, there should be some kind of a co-pilot that helps resolve the issue. The tool should learn from its own previous issues. If you take Databricks, you see that it provides a co-pilot for Python, so a similar kind of development in Elastic Stack would be a real asset for it. AI would be considered a good way to enable the tool further for more in 2024, and even a beta launch would be helpful. If you take any sort of cloud-native monitoring product, like Azure Monitor or AWS CloudWatch, you see that such products don't provide much of the insights. If you go with Azure Monitor for any sort of ML models to be there, Sentinel needs to be used from Azure, which is very costly. AI-enablement would be a big improvement in Elastic Stack. Everyone in the monitoring space, including Dynatrace and New Relic, has lately been discussing AI, but it doesn't seem to be coming out. If there is room for an ML model in Elastic Stack, then it would be good.

Quotes from Members

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

Pros

"My favorite option in Cribl is the Stream product."
"The platform's most valuable feature is the ability to transform data in real-time within the pipeline without sending it to a destination."
"The support team was very helpful and managed to get everything production-ready."
"Cribl offers other valuable features. For instance, you can replay data from an edge device, store your daily data in a stream, and replay specific event data into Splunk if a security incident occurs"
"Features such as Cribl Stream, Cribl LogStream, and Cribl Edge have been the most beneficial. The Cribl LogStream, in particular, is valuable for routing data, creating firewalls on pipelines, and putting security measures in place to ensure data reaches its destination without issues."
"I'd rate the solution ten out of ten."
"The capability to reduce logs in a user-friendly manner is a standout feature. Cribl allows us to view logs live as they are being processed, giving us quick feedback on the changes made."
"The product's most valuable features include the internal management of events, coding perspective, data processing, and serialization."
"It is a very scalable solution...I didn't face any problem with this scalability part of the solution since we only have a few pieces of equipment in our company."
"Elastic Stack is mainly used to monitor servers and APIs. It helps ensure the software's availability and sends notifications at the right time so the system is not down for a long time. The tool's stability and advanced features, such as anomaly detection, are the most valuable features. The benefit of using it is real-time monitoring."
"Prior to the latest updates, data lake management was a standout feature. The hybrid capability for on-premise and cloud integration was also crucial. Now, with Elastic Defense, the agent simplifies security monitoring, making it a key asset."
"The scripting model in Elastic Stack allows me to query logs and then put the data into Grafana."
"We can group a lot of alarms into one automation alarm supervision. The alarm supervision allows us to put the alarm under the same. It's quite helpful for us. We used that to suppress our alarms. Elastic already provides the agent. It is easy to integrate Elastic Stack with other devices and vendors."
"I have experienced a return on investment from the use of the solution."
"It is an excellent tool for monitoring purposes."
"It supports various integrations. It's open source and has excellent community support."
 

Cons

"There is room for improvement in the documentation and knowledge base, particularly regarding configurations like sources where logs are being ingested"
"Cribl should consider adding more features that are applicable to smaller firms, allowing broader access to their data migration through Cribl."
"There is no alerting mechanism for the leader/worker nodes status."
"Cribl doesn't have as many packs available"
"Cribl could improve by offering easier integrations with enterprise products, similar to what Splunk provides."
"The sys logging could be enhanced to make it easier to identify errors, especially when dealing with multiple functions."
"There have been several administrative issues. Another point is that the browsing functions aren't very intuitive."
"Perhaps more flexibility in terms of metrics would be helpful."
"The solution is expensive, particularly the training and certification. If customers want to increase their use of Elastic Stack, they should consider reducing the cost of certification and training."
"It should facilitate easier manual integration."
"Elastic Stack should work on their dashboards and integration process."
"Elastic Stack's search capabilities can be challenging, especially when searching for precise data from past years, such as two or ten years ago. Its indexing performance for exact data retrieval may decrease as the data volume grows. Therefore, I believe there is room for improvement in the product's search functionality. It needs to improve its pricing as well."
"When people try to move the data from another source to Elastic Stack for visualization, they face challenges when connecting to Elastic Stack from such different sources."
"Support could be improved. The error code is not helpful. We have to ask for it or pass it on to community forums."
"Elastic Stack should be more simplified with ready-to-use widgets. Also, incorporating AI capabilities is essential as monitoring and observability tools are now adding AI features."
"There could be better documentation."
 

Pricing and Cost Advice

"The product pricing is reasonable compared to other solutions."
"I would not say it is a cheaply priced tool as it has been doing wonders in the market. The tool has been budget-friendly for organizations."
"Ultimately, the pricing depends upon the capacity planning that the enterprise architect does."
"The product is expensive."
"It depends on the specifics, but generally, Elastic is economical for certain use cases."
"The pricing is reasonable."
"If I compare Elastic Stack to the other products in the market, I would say that the tool is available at a competitive price."
"I used the open-source version of Elastic Stack, because of which I did not have to pay anything."
"We are using the open-source community version of the product."
"I rate the solution's pricing a six out of ten."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
10%
Healthcare Company
8%
Government
8%
Computer Software Company
14%
Financial Services Firm
11%
Comms Service Provider
9%
Manufacturing Company
8%
 

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 Stack?
The tool is huge, and it performs brilliantly. I tested it for malware, and within two weeks of launching, the product alerted me about a network intrusion. This was a tough test for it, but it per...
What is your experience regarding pricing and costs for Elastic Stack?
We use Elastic Stack's open source version, so it is free for us.
What needs improvement with Elastic Stack?
Elastic Stack needs more features similar to other SIEM tools such as Sentinel or the ability to create automations. Additionally, it should facilitate easier manual integration.
 

Comparisons

 

Overview

Find out what your peers are saying about Cribl vs. Elastic Stack and other solutions. Updated: January 2025.
838,640 professionals have used our research since 2012.