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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
6.3
Number of Reviews
25
Ranking in other categories
Streaming Analytics (3rd)
Cribl
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
25
Ranking in other categories
Application Performance Monitoring (APM) and Observability (12th), Log Management (6th), Security Information and Event Management (SIEM) (10th), 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 8.5%, down 9.7% compared to last year.
Cribl, on the other hand, focuses on Observability Pipeline Software, holds 44.6% mindshare, down 47.7% since last year.
Streaming Analytics Market Share Distribution
ProductMarket Share (%)
Confluent8.5%
Apache Flink14.8%
Databricks12.5%
Other64.2%
Streaming Analytics
Observability Pipeline Software Market Share Distribution
ProductMarket Share (%)
Cribl44.6%
DataBahn15.0%
BindPlane OP14.2%
Other26.200000000000003%
Observability Pipeline Software
 

Featured Reviews

PavanManepalli - PeerSpot reviewer
Has supported streaming use cases across data centers and simplifies fraud analytics with SQL-based processing
I recommend that Confluent should improve its solution to keep up with competitors in the market, such as Solace and other upcoming tools such as NATS. Recently, there has been a lot of buzz about Confluent charging high fees while not offering features that match those of other tools. They need to improve in that direction by not only reducing costs but also providing better solutions for the problems customers face to avoid frustrations, whether through future enhancement requests or ensuring product stability. The cost should be worked on, and they should provide better solutions for customers. Solutions should focus on hierarchical topics; if a customer has different types of data and sources, they should be able to send them to the same place for analytics. Currently, Confluent requires everything to send to the same topic, which becomes very large and makes running analytics difficult. The hierarchy of topics should be improved. This part is available in MQ and other products such as Solace, but it is missing in Confluent, leading many in capital markets and trading to switch to Solace. In terms of stability, it is not the stability itself that needs improvement but rather the delivery semantics. Other products offer exactly-once delivery out of the box, whereas Confluent states it will offer this but lacks the knobs or levers for tuning configurations effectively. Confluent has hundreds of configurations that application teams must understand, which creates a gap. Users are often unaware of what values to set for better performance or to achieve exactly-once semantics, making it difficult to navigate through them. Delivery semantics also need to be worked on.
Manoj Gowda J - PeerSpot reviewer
Helps reduce log ingestion cost by dropping unnecessary events and customizing pipelines
The best feature in Cribl, when getting logs from some custom application, is the ability to break up logs that pile up together and come as one event. Cribl has a feature called JSON Unroll or Unroll function that allows you to differentiate the events; each event will come ingested as a single log instead of piling it up with multiple events. This is critical as this generally happens in CrowdStrike. This feature helps us significantly. When the ingestion is high from unwanted logs, logs not related to security purposes can be dropped by writing the parser function. By dropping events that are not required for security purpose monitoring, we can reduce the ingestion, which drastically reduces the cost as well. Cribl gives another option where I can store some logs, and when needed, I can pick them up from there. The interface is very handy and not very complicated, yet there are many functions you can perform. You can play around with numerous functions, parse there, and add UDMs to SecOps, which makes it really easy. To simplify the pipeline, when we go to the pipelines, there are vast options. We can make it specific requirements based on the customers. I would prefer a customized or simplified version. Cribl is a very good platform to work with, with lots of features that other platforms don't provide.

Quotes from Members

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

Pros

"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"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."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"The client APIs are the most valuable feature."
"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"The design of the product is extremely well built and it is highly configurable."
"With Confluent Cloud we no longer need to handle the infrastructure and the plumbing, which is a concern for Confluent. The other advantage is that all portfolios have access to the data that is being shared."
"The features I find most useful in Confluent are the Multi-Region Cluster, MRC, and the Cluster Linking for replication."
"Cribl offers easy plugin configurations and source collection settings, allowing us to collect logs from any source."
"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 features of Cribl that I appreciate the most are the vendor agnosticism and the ability to send data almost anywhere you want, regardless of the data type, the format, or the destination."
"Cribl search has affected us greatly, and it has optimized our operations teams' time and efficiency; they're able to troubleshoot and find issues for our customers in a minimal amount of time."
"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 product's most valuable features include the internal management of events, coding perspective, data processing, and serialization."
"The features of Cribl that I appreciate the most are the vendor agnosticism and the ability to send data almost anywhere you want, regardless of the data type, the format, or the destination; it's very flexible, and we've been able to integrate it with the tools that we have used in the past and are planning to use in the future."
"I'd rate the solution ten out of ten."
 

Cons

"It requires some application specific connectors which are lacking. This needs to be added."
"there is room for improvement in the visualization."
"The Schema Registry service could be improved. I would like a bigger knowledge base of other use cases and more technical forums. It would be good to have more flexible monitoring features added to the next release as well."
"The formatting aspect within the page can be improved and more powerful."
"We continuously face issues, such as Kafka being down and slow responses from the support team."
"There is a limitation when it comes to seamlessly importing Microsoft documents into Confluent pages, which can be inconvenient for users who frequently work with Microsoft Office tools and need to transition their content to Confluent."
"Recently, there has been a lot of buzz about Confluent charging high fees while not offering features that match those of other tools."
"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."
"When I explored the endpoint, I found myself wishing for clearer instructions presented in a sequential manner."
"There have been several administrative issues. Another point is that the browsing functions aren't very intuitive."
"There are opportunities for AI to be incorporated more tightly into Cribl to help build out those pipelines and apply some more complex logic to those transformations could be useful."
"Currently, Cribl Search is dedicated to one bucket at a time in the case of S3 buckets. The ability to search for multiple buckets would be awesome."
"Their documentation should be updated."
"Currently, Cribl Search is dedicated to one bucket at a time in the case of S3 buckets. The ability to search for multiple buckets would be awesome."
"There is room for improvement in the documentation and knowledge base, particularly regarding configurations like sources where logs are being ingested"
"Cribl could improve by offering easier integrations with enterprise products, similar to what Splunk provides."
 

Pricing and Cost Advice

"The solution is cheaper than other products."
"Confluent is an expensive solution as we went for a three contract and it was very costly for us."
"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."
"It comes with a high cost."
"Regarding pricing, I think Confluent is a premium product, but it's hard for me to say definitively if it's overly expensive. We're still trying to understand if the features and reduced maintenance complexity justify the cost, especially as we scale our platform use."
"Confluent is highly priced."
"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 is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
"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
17%
Computer Software Company
12%
Retailer
8%
Manufacturing Company
6%
Financial Services Firm
16%
Computer Software Company
8%
Manufacturing Company
8%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise4
Large Enterprise16
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise14
 

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 recommend that Confluent should improve its solution to keep up with competitors in the market, such as Solace and other upcoming tools such as NATS. Recently, there has been a lot of buzz about ...
What is your experience regarding pricing and costs for Cribl?
Cribl is very inexpensive, with enterprise pricing around 30 cents per GB, which is really decent. Organizations looking to ingest terabytes or petabytes of data each day find it quite an inexpensi...
What needs improvement with Cribl?
The product is very good. They could add more AI-assisted pipeline development in the future release.
What is your primary use case for Cribl?
My current use cases involve using it as a pipeline to process data, to route data from cloud logs to different repositories. Some data goes to Splunk and others go to different data lakes. I didn'...
 

Comparisons

 

Overview

 

Sample Customers

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