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Confluent vs Cribl comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 1, 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

Confluent
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
23
Ranking in other categories
Streaming Analytics (4th)
Cribl
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
10
Ranking in other categories
Application Performance Monitoring (APM) and Observability (14th), Log Management (13th), Security Information and Event Management (SIEM) (13th), Observability Pipeline Software (1st)
 

Mindshare comparison

Confluent and Cribl aren’t in the same category and serve different purposes. Confluent is designed for Streaming Analytics and holds a mindshare of 8.2%, down 11.2% compared to last year.
Cribl, on the other hand, focuses on Observability Pipeline Software, holds 46.4% mindshare, down 48.1% since last year.
Streaming Analytics
Observability Pipeline Software
 

Featured Reviews

Gustavo-Barbosa Dos Santos - PeerSpot reviewer
Has good technical support services and a valuable feature for real-time data streaming
Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance. It helps us understand the various requirements of multiple customers and validates the information for different versions. We can automate the tasks using Confluent Kafka. Thus, it guarantees us the data quality and maintains the integrity of message contracts.
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.

Quotes from Members

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

Pros

"Confluent facilitates the messaging tasks with Kafka, streamlining our processes effectively."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"Confluence's greatest asset is its user-friendly interface, coupled with its remarkable ability to seamlessly integrate with a vast range of other solutions."
"The monitoring module is impressive."
"The most valuable feature that we are using is the data replication between the data centers allowing us to configure a disaster recovery or software. However, is it's not mandatory to use and because most of the features that we use are from Apache Kafka, such as end-to-end encryption. Internally, we can develop our own kind of product or service from Apache Kafka."
"I find Confluent's Kafka Connectors and Kafka Streams invaluable for my use cases because they simplify real-time data processing and ETL tasks by providing reliable, pre-packaged connectors and tools."
"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"The design of the product is extremely well built and it is highly configurable."
"Cribl offers easy plugin configurations and source collection settings, allowing us to collect logs from any source."
"I'd rate the solution ten out of ten."
"My favorite option in Cribl is the Stream product."
"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."
"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 platform's most valuable feature is the ability to transform data in real-time within the pipeline without sending it to a destination."
"When it comes to the product's installation phase, it is not tough for people who have good knowledge...The tool is worth the investment."
"The product's most valuable features include the internal management of events, coding perspective, data processing, and serialization."
 

Cons

"It could have more integration with different platforms."
"One area we've identified that could be improved is the governance and access control to the Kafka topics. We've found some limitations, like a threshold of 10,000 rules per cluster, that make it challenging to manage access at scale if we have many different data sources."
"Confluence could improve the server version of the solution. However, most companies are going to the cloud."
"there is room for improvement in the visualization."
"It could be improved by including a feature that automatically creates a new topic and puts failed messages."
"The formatting aspect within the page can be improved and more powerful."
"They should remove Zookeeper because of security issues."
"It could be more user-friendly and centralized. A way to reduce redundancy would be helpful."
"Cribl should consider adding more features that are applicable to smaller firms, allowing broader access to their data migration through Cribl."
"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."
"There is no alerting mechanism for the leader/worker nodes status."
"There is room for improvement in the documentation and knowledge base, particularly regarding configurations like sources where logs are being ingested"
"The sys logging could be enhanced to make it easier to identify errors, especially when dealing with multiple functions."
"Cribl could have developed some version that can give backward compatibility."
"Cribl doesn't have as many packs available"
 

Pricing and Cost Advice

"On a scale from one to ten, where one is low pricing and ten is high pricing, I would rate Confluent's pricing at five. I have not encountered any additional costs."
"Confluent has a yearly license, which is a bit high because it's on a per-user basis."
"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
"Confluence's pricing is quite reasonable, with a cost of around $10 per user that decreases as the number of users increases. Additionally, it's worth noting that for teams of up to 10 users, the solution is completely free."
"The solution is cheaper than other products."
"Confluent is highly priced."
"You have to pay additional for one or two features."
"It comes with a high cost."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
16%
Manufacturing Company
7%
Insurance Company
6%
Financial Services Firm
17%
Computer Software Company
10%
Healthcare Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Confluent?
I find Confluent's Kafka Connectors and Kafka Streams invaluable for my use cases because they simplify real-time data processing and ETL tasks by providing reliable, pre-packaged connectors and to...
What is your experience regarding pricing and costs for Confluent?
They charge a lot for scaling, which makes it expensive.
What needs improvement with Confluent?
I am not very impressed by Confluent. We continuously face issues, such as Kafka being down and slow responses from the support team. The lack of easy access to the Confluent support team is also a...
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...
 

Comparisons

 

Overview

 

Sample Customers

ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
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