Sumo Logic Security and Cribl compete in the data management and security analytics sector. Cribl appears to have the upper hand due to its cost-effectiveness and flexibility in data handling.
Features: Sumo Logic Security is known for its robust log search capabilities, real-time observability, and system stability. It also excels in extensions, scalability, and integration. Cribl's strengths are real-time data transformation, SIEM migration, and data compression, simplifying log source connections and offering unmatched data masking and reduction.
Room for Improvement: Sumo Logic Security users struggle with its complex query language and pricing structure. It requires better API connections and a simpler interface. Cribl needs more detailed documentation and improved internal logging. Connectivity issues with certain protocols and the absence of alerting mechanisms are noted limitations.
Ease of Deployment and Customer Service: Sumo Logic Security operates on public clouds with straightforward deployment. Its customer service is responsive, but faster support is desired. Cribl supports diverse deployments including on-premises and hybrid clouds, with responsive support and a need for improved feature documentation, giving Cribl a flexibility advantage.
Pricing and ROI: Sumo Logic Security has a high volume-based pricing model, appreciated for stability and analytics but steep for smaller organizations. It delivers good ROI through reduced downtime. Cribl offers a cost-effective solution for large data volumes, with competitive pricing despite annual increases, especially compared to costlier solutions like Splunk.
In the case of optimization, it has helped return on investment to somewhere close to 50%.
we have saved a significant amount of time and resources moving from a manual approach to something that's more automated.
They had extensive expertise with the product and were able to facilitate everything we needed.
If they could enhance their internal logging, we won't require Cribl support to engage.
The community, including the engineering and sales teams, is available on Slack and is very supportive.
They have a response time of forty-eight hours, which is not instant support.
It's an enterprise version, and we have a good amount of users using this solution.
I don't need to talk to a Cribl engineer to connect a new log source.
Cribl is quite scalable, as we could add worker nodes as our data grows.
The tool has high scalability because everything is based in the cloud.
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.
Cribl is quite stable and doesn't crash; there's no unusual behavior.
If there are many records, the system may stop or the UI may become unresponsive.
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.
Since Cribl is such a large platform with numerous features, having a clear, structured approach would make it easier for me and others to understand and utilize its capabilities.
The correlation rules and log mapping are not as mature compared to other SIM tools like Splunk.
This is crucial to sell to the government and financial sectors as they require data retention within each country.
Over time, the licensing cost has increased.
Cribl is very inexpensive, with enterprise pricing around 30 cents per GB, which is really decent.
This makes it more cost-effective because other solutions often include a third element in their pricing.
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 community on Slack is excellent for solving questions and getting ideas.
If we cannot find the data in other tools, like email security or NDR, we can fetch those logs in the Log Analytics platform of Sumo Logic.
Sumo Logic Security offers a single dashboard and customization, which are the most valuable features.
Product | Market Share (%) |
---|---|
Cribl | 1.2% |
Sumo Logic Security | 1.1% |
Other | 97.7% |
Company Size | Count |
---|---|
Small Business | 9 |
Midsize Enterprise | 4 |
Large Enterprise | 8 |
Company Size | Count |
---|---|
Small Business | 6 |
Midsize Enterprise | 3 |
Large Enterprise | 12 |
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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