

Graylog Enterprise and Cribl are two top contenders in the log management and data analysis industry. While Graylog is predominantly praised for its cost-effectiveness and extensive support, Cribl stands out due to its advanced and adaptable features.
Features: Graylog Enterprise includes flexible data collection, a powerful search engine, and seamless data source integration, making it ideal for complex environments. It also offers real-time UDP/GELF logging, full-text searching with Elasticsearch integration, and excellent alert systems using plugins. Cribl excels in data routing and transformation, enabling control and optimization of data flow. It supports diverse data types, offers routing to various destinations, and features an intuitive web UI.
Room for Improvement: Graylog Enterprise could enhance its alerting system, improve its handling of complex logs, and offer better analytics out of the box. Cribl, while feature-rich, might be considered expensive, has a steep learning curve for non-technical users, and could improve connectivity with some platforms.
Ease of Deployment and Customer Service: Graylog Enterprise provides a straightforward deployment and reliable support, making it easier to set up across different IT environments. Cribl offers a streamlined deployment process with remarkable customer service, simplifying implementation and user experience, which is a plus for businesses aiming for efficient support and deployment.
Pricing and ROI: Graylog Enterprise is cost-competitive, providing a substantial return on investment through efficient resource management. Although Cribl entails a higher upfront investment, it pays off in the long run with enhanced features and capabilities, making it worthwhile for those considering long-term gains.
What we've seen is really an overall reduction of just shy of 40% in our ingest into our SIM platform versus prior to having Cribl.
The second thing is that data aggregation, sampling, and reduction that we're able to do of the data, lowering our overall data volume, both traversing the network as well as what's being stored inside of our final solutions.
In terms of reduction, we were able to save almost ~40% of our total cost.
Graylog allows our security team and IT engineers quick access to information, as it all goes to one place.
There have been financial savings as well and increased reliability, because I don't depend on a physical server hosted in my office.
Since I began using Graylog Enterprise, I perceive a return on investment, including a fifteen percent reduction in incident response time and twenty percent less time to find bugs.
They had extensive expertise with the product and were able to facilitate everything we needed.
Usually, within an hour, we get a response, and we are able to work with them back and forth until we resolve the issues.
Sometimes by hearing the problem itself, they will know what the solution is, and they will let us know how to resolve it, and we do it immediately.
Customer support for Graylog Enterprise is excellent.
I would rate customer support a ten on a scale from one to ten because they were always very proactive with us, helping with whatever was required.
The support experience generally depends on the issue complexity, but the team was very responsive and their technical guidance was also very good and constant.
The infrastructure behind Cribl Search is also scalable as it uses a CPU and just spawns horizontally more instances as it demands and requires.
Compared to other SIEM tools I use, any slight change on the operating system end impacts a lot on our SIEM tools and other things, but Cribl performs well in that regard.
Cribl performs effectively across both market segments.
More up-to-date documentation on how to do high ingestion and high search scenarios, including recommendations for configuration and deployment, would be useful.
I haven't needed to scale so far, but I believe it will meet my needs when I expand in the future.
The scalability of Graylog Enterprise is very good; it always responds to needs at the right time.
Migrating from those SC4S servers to Cribl worker nodes has truly been a game-changer.
Regarding scalability, we started with zero servers and have around 285 servers now.
Cribl is designed to deal with certain kinds of loads and is not designed to handle any scenario in the market.
Graylog Enterprise is completely stable.
I believe Graylog Enterprise is stable; it provides a lot of information about alerts, allowing good visibility of the client's environment.
Graylog Enterprise is stable.
A more stringent role-based access control feature would enhance security and allow granular control over what users can see and access.
When passing query logs or DNS logs, if certain malicious query patterns need to be identified or if fast-flux attacks are happening, Cribl can report that and those would definitely be a plus for them.
I would advise others looking to implement Cribl that if they are evolving Cribl Search, it would be very interesting to see more capability, more flexibility, and more ways to share the data similar to Splunk.
Mainly, it's about integrations: being able to parse different sources and output to different systems easier.
I understand that Graylog Enterprise is not a SIEM; it is a log management tool. However, it was able to meet my needs for security log monitoring specifically.
Writing the rules can be very tedious, especially since the documentation isn't extensive on how the functions provided for these rules work.
Over time, the licensing cost has increased.
It was cheaper than the Splunk license.
Splunk is more expensive, and Cribl appears to be more affordable.
It costs approximately $50,000 or $60,000 for 100 GB a day.
Regarding my experience with the price, configuration cost, and licensing of Graylog Enterprise, I consider that the cost-benefit ratio is very good when compared.
I worked in the SOC environment focusing more on analyzing alerts, but I was able to understand the configurations well, including setting up use cases and automations.
The data reduction and preprocessing capabilities make Cribl really unique.
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.
The Cribl UI is very simple and easy to use, particularly when working with data from various sources; it makes it very easy to create pipelines, add complex logic to those pipelines, and then gives you a preview of what your data looks like before applying that pipeline and what you get after.
The Graylog features that have proven to be most beneficial for our data analysis in particular are that we tend to use it as a big data store, so we have the correlation rules that, if something matches under certain conditions, it raises an alarm.
The best feature of Graylog Enterprise is its high-performance search engine that provides fast, flexible, and scalable analysis of machine data or pod data.
Monitoring improved by up to 80 percent because of having all the logs centralized.
| Product | Mindshare (%) |
|---|---|
| Cribl | 2.3% |
| Graylog Enterprise | 2.5% |
| Other | 95.2% |


| Company Size | Count |
|---|---|
| Small Business | 52 |
| Midsize Enterprise | 8 |
| Large Enterprise | 36 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 6 |
| Large Enterprise | 13 |
Cribl offers advanced data transformation and routing with features such as data reduction, plugin configurations, and log collection within a user-friendly framework supporting various deployments, significantly reducing data volumes and costs.
Cribl is designed to streamline data management, offering real-time data transformation and efficient log management. It supports seamless SIEM migration, enabling organizations to optimize costs associated with platforms like Splunk through data trimming. The capability to handle multiple data destinations and compression eases log control. With flexibility across on-prem, cloud, or hybrid environments, Cribl provides an adaptable interface that facilitates quick data model replication. While it significantly reduces data volumes, enhancing overall efficiency, there are areas for improvement, including compatibility with legacy systems and integration with enterprise products. Organizations can enhance their operational capabilities through certification opportunities and explore added functionalities tailored towards specific industry needs.
What are Cribl's most important features?Cribl sees extensive use in industries prioritizing efficient data management and cost optimization. Organizations leverage its capabilities to connect between different data sources, including cloud environments, improving both data handling and storage efficiency. Its customization options appeal to firms needing specific industry compliance and operational enhancements.
Graylog Enterprise, recognized for log collection, real-time search, and enriched data handling, offers an open-source framework that integrates seamlessly with Elasticsearch. Its user-centric interface streamlines data correlation and log aggregation, supporting both backend services and comprehensive monitoring needs.
Graylog Enterprise stands out for its stability and powerful log management capabilities, facilitating efficient log aggregation, real-time updates, and data analytics. Users benefit from its plugin-based alerting, user-friendly interface, and support for microservices, including Docker integration. The ability to search in detail, flexible API integration, and data enrichment features are highly valued. Challenges include collector application issues, desired visualization enhancements, and authentication integration improvements. Users seek advancements in UI customization, backup functions, and easier rule creation.
What are Graylog Enterprise's most important features?In industrial use, Graylog Enterprise is crucial for audit trailing in financial sectors, facilitating security event identification and error monitoring. Backend teams leverage real-time analytics for swift issue resolution, while developers appreciate the comprehensive log visualization enabled by Docker integration for microservice management.
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