

Devo and Cribl compete in the data management and analytics category. Devo has the upper hand with its advanced analytics capabilities, supporting more comprehensive data querying and visualization across multiple sources.
Features: Devo's standout features include Activeboards for querying and visualizing data from diverse sources, real-time analytics, and 400 days of hot data retention. Its detailed management of structured and unstructured data, coupled with a multi-tenant architecture, enhances its flexibility for data analysis. Cribl highlights cost management through data reduction, a vendor-agnostic routing system, and a user-friendly interface. Its robust integration capabilities bolster its functionality in data manipulation and cost efficiency.
Room for Improvement: Devo faces challenges with large searches impacting browser performance and limited visual analytics customization. There's also feedback regarding unexpected pricing changes post-update. Cribl requires enhanced performance for high-volume data and more comprehensive documentation. Scalability and handling comprehensive metrics are areas for further development.
Ease of Deployment and Customer Service: Devo offers versatile deployment options across public, private, and hybrid clouds, combined with robust tech support. On the other hand, Cribl excels in ease of deployment primarily for on-premises environments, which suits organizations with particular infrastructure requirements. Cribl’s customer service is efficient though often rated as having longer resolution times.
Pricing and ROI: Devo’s pricing strategy focuses on data ingestion, sometimes leading to unexpected costs such as metadata charges. The retention of 400 days of hot data provides tangible ROI, enhancing data visibility and cost efficiency. Cribl is appreciated for its cost-effectiveness, especially when integrated with solutions like Splunk, enabling significant savings on data ingestion and scalability. Cribl’s simplified pricing model aligns well with organizations aiming to optimize ingestion costs.
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.
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.
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.
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.
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.
This is particularly evident when dealing with failed login attempts and determining true versus false positives.
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.
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.
When they see a spike in a line chart for a failed login, which could be a true or false attempt, they can click that spike, and a table widget on the same active board instantly populates with raw logs of data for those specific failed logins.
| Product | Mindshare (%) |
|---|---|
| Cribl | 2.6% |
| Devo | 1.2% |
| Other | 96.2% |

| Company Size | Count |
|---|---|
| Small Business | 41 |
| Midsize Enterprise | 7 |
| Large Enterprise | 34 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 11 |
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.
Devo offers powerful visual analytics, real-time data querying, and log integration capabilities within a cloud-native, multi-tenant architecture, supporting extended data retention ideal for long-term analysis and compliance.
Devo is recognized for its Activeboards, which facilitate visual analytics. High-speed search capabilities and real-time analytics enable efficient data manipulation and querying. Its multi-tenant architecture supports effective data segregation and customization tailored to distinct business needs, enhancing its value for handling complex log integrations. With extended data retention of 400 days and a cloud-native architecture, Devo is a robust platform for long-term analysis and compliance requirements. Though opportunities exist to improve browser stability on large searches, SOAR integrations, and its parser capabilities, Devo remains essential for incident response and security monitoring, offering centralized data storage and analysis.
What are Devo's most important features?Devo is extensively used in industries focused on incident response and digital forensics, centralizing data for security monitoring across hybrid environments. Organizations benefit from its ability to store and analyze aggregated logs, creating alerts and dashboards to enhance visibility for network and endpoint activities in multi-domain settings.
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