

Sumo Logic Security and Cribl are both competing in the domain of secure data handling and analysis. While Sumo Logic excels with its real-time observability and automated threat detection, Cribl is more flexible with data routing and cost management.
Features: Sumo Logic Security provides real-time observability, ease of integration, and automated threat detection to support digital transformation efforts. Cribl is noted for its flexibility in data routing, intuitive UI, and capability to manage diverse data types effectively.
Room for Improvement: Users of Sumo Logic have reported a need for improved integration from multiple sources and more advanced query capabilities. Cribl users express a desire for enhanced documentation, third-party tool integration, and scalability improvements.
Ease of Deployment and Customer Service: Sumo Logic Security is known for straightforward deployment in cloud environments, though support response times could improve. Cribl offers versatility across various deployment environments, with slightly more complex setups backed by responsive support and extensive documentation.
Pricing and ROI: Sumo Logic's pricing on AWS Marketplace is considered reasonable, valued for its features despite not being the cheapest. Cribl boasts reduced data ingestion costs compared to Splunk, presenting cost savings for larger enterprises but potentially being less suitable for smaller companies.
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.
We have saved 64 hours of our time overall.
The return on investment I have seen with Sumo Logic Security in the past year and a half is tough to quantify, but I would estimate it has hit the milestones we set internally for return on investment.
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.
They have a response time of forty-eight hours, which is not instant support.
In general, they usually provide continuous support post-implementation, being in touch and trying to help, which makes their after-sale process better than Splunk.
Sumo Logic Security has really good customer support.
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.
Sumo Logic Security scales up automatically because it is a cloud-native SIEM, and I do not need to worry about hardware clusters or capacity planning.
The tool has high scalability because everything is based in the cloud.
I did not face any significant issues with Sumo Logic Security, but the pricing may be a concern as they try to upsell and raise the prices very quickly.
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.
If there are many records, the system may stop or the UI may become unresponsive.
The query language is pretty straightforward and easy, and it is very powerful for building different searches and dashboards that will serve for later exploration of the same interests I have.
It operates very well as a cloud-native SaaS platform with high availability, and there is no downtime that I have experienced.
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 can lead to alerts that are collections of disjointed signals that sometimes make no sense and lack real context; this simplistic approach makes it hard to find coherent stories during investigations.
I would also appreciate the AWS automation integrations to be more secure because currently, they are using access keys, which involves a user rather than roles, which is the security best practice recommended by AWS.
The correlation rules and log mapping are not as mature compared to other SIM tools like Splunk.
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.
This makes it more cost-effective because other solutions often include a third element in their pricing.
From one to ten, where one is cheap and ten is expensive, I would put Sumo Logic Security at a seven.
If you go to the well-known vendors such as Azure Sentinel or other tools like Splunk, you are going to find them costly since they are well-known and they have much more integration compared to Sumo Logic Security.
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 features I find most useful in Sumo Logic Security are the ease of implementation and connectors; they have a very easy connection and many connectors to important systems, making it very easy to implement and fast to start running in production.
They are able to save time on fewer alerts because we are able to perform tuning on the logs to be able to only get relevant or security relevant incidents.
My SOC analysts were crushed under Splunk, but Sumo has actually eased the workload and made it tolerable for three people.
| Product | Mindshare (%) |
|---|---|
| Cribl | 1.2% |
| Sumo Logic Security | 1.7% |
| Other | 97.1% |

| Company Size | Count |
|---|---|
| Small Business | 25 |
| Midsize Enterprise | 5 |
| Large Enterprise | 34 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 5 |
| Large Enterprise | 14 |
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.
Sumo Logic
Sumo Logic is a cloud-based machine data analytics company focusing on security, operations, and BI use cases. It provides log management and analytics services that leverage machine-generated big data to deliver real-time IT insights.
Sumo Logic is developed as a SaaS solution, it processes and analyzes large quantities of IT infrastructure data, spotting patterns and anomalies that can indicate a potential threat or significant event.
The platform is designed to help IT, security, and business operations teams develop, manage, and secure their applications and cloud infrastructures. It collects, aggregates, and analyzes data from various sources including servers, virtual machines, and network devices, providing visibility into complex systems.
What are the key features of Sumo Logic?
Real-time Analytics: Continuous queries and live dashboards that provide insights into application performance, user behavior, and security threats.
Advanced Machine Learning: Utilizes machine learning algorithms to identify trends, anomalies, and patterns.
Integrated Threat Intelligence: Tools and workflows to enhance security postures by detecting threats and anomalies.
Multi-tenant Cloud Service: Allows users to operate in a shared cloud environment securely.
The solution aims to simplify data complexity, streamline operations, and provide actionable insights to businesses across various industries.
Sumo Logic is designed to handle high data volumes from multiple sources without diminishing performance. It is primarily deployed in the cloud with seamless integrations for AWS, Google Cloud, and Microsoft Azure. This flexibility allows users to leverage Sumo Logic’s capabilities regardless of their existing cloud infrastructure.
In summary, Sumo Logic is a comprehensive, AI-driven analytics solution ideal for businesses looking to enhance their IT and security operations through data-driven insights and real-time monitoring. Its flexible deployment options and scalable pricing model make it accessible for various business sizes and sectors.
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