

Find out in this report how the two Security Information and Event Management (SIEM) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
We're taking these things that executives see on the news, cyber threats falling from the sky, and we're taking the timeline that would take weeks or sometimes even months to address, depending on what's required for the detection, and bringing that timeline down to hours and days.
We rolled out approximately 1,500 Armory alerts in three months, which would not have been possible with Splunk.
If we were not doing more and did not have Anvilogic, we would need one dedicated person to do this detection engineering.
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.
The product management and the product engineering team are available to us if we need to review something with them.
One of the best things about Anvilogic is the partnership, their knowledge, the depth of technical understanding, and the speed at which they respond.
I would evaluate their customer service and tech support as fantastic.
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.
If they could enhance their internal logging, we won't require Cribl support to engage.
We started with about 55 detections and scaled up to about 980 odd detections so far.
Anvilogic scales effectively with the growing needs of my organization.
Anvilogic is helping us identify what the needs of the business are, where in many cases, business processes just run off on their own.
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.
It's an enterprise version, and we have a good amount of users using this solution.
I have never experienced a serious outage.
I would assess the stability and reliability of Anvilogic as very good.
There is sometimes a bit of slowness and Splunk-related issues.
Migrating from those SC4S servers to Cribl worker nodes has truly been a game-changer.
I would rate the stability as ten out of ten.
If the pipeline is down and we receive an alert that it's not sending information to the log collection platform for more than one or two hours, if we receive an alert, it would be great.
The hunting insight needs integrable capability with different platforms to gather all of that insight and show it on a single canvas on Anvilogic.
I need to click three times to get to all the information I need.
A more stringent role-based access control feature would enhance security and allow granular control over what users can see and access.
If we can have more internal logs and more debug logs to validate the error, that would be beneficial because instead of reaching out to Cribl support, we can troubleshoot and find the root cause ourselves.
In terms of large datasets—whether they originated from network inputs, virtual machines, or cloud instances—ingesting the data into the destination was relatively easy.
Because they do not completely replace a SIEM, their pricing is slowly edging towards being a little too much for a smaller organization like ours.
My experience with pricing, setup costs, and licensing of Anvilogic was the easiest experience I have ever had.
Over time, the licensing cost has increased.
Cribl is very inexpensive, with enterprise pricing around 30 cents per GB, which is really decent.
They have a universal license that allows us to consume the portions of Cribl that we want to use or flex into other portions of Cribl.
Detection insights help us easily identify the most noisy ones, the effective ones, and what needs to be fixed to move the noisy ones to effective ones.
Being able to generate detections and map them back to MITRE, not as a 'we've accomplished security' type of metric, but at least showing that you have some form of adequate coverage across all of those different domains.
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.
| Product | Market Share (%) |
|---|---|
| Cribl | 1.2% |
| Anvilogic | 0.4% |
| Other | 98.4% |

| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 5 |
| Large Enterprise | 17 |
Anvilogic breaks the SIEM lock-in that drives detection gaps and high costs for enterprise SOCs. It enables detection engineers and threat hunters to keep using their existing SIEM while seamlessly adopting a scalable and cost-effective data lake for high-volume data sources and advanced analytics use cases.
By eliminating the need for rip-and-replace, Anvilogic allows security leaders to confidently join the rest of the enterprise on the modern data stack without disrupting existing processes. Security operations teams at banks, airlines, and large tech companies use Anvilogic’s modular detection engine, thousands of curated threat scenarios, and AI security copilot to improve detection coverage and save millions of dollars.
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.
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