Sumo Logic Observability and Cribl compete in the data management and monitoring category. Cribl shows dominance in data processing efficiency, while Sumo Logic is stronger in holistic analytics.
Features: Sumo Logic Observability offers real-time insights, comprehensive dashboards, and powerful query language flexibility. Cribl excels in data routing, transformation, optimization, and provides tools for real-time data changes and processing pipelining.
Room for Improvement: Sumo Logic Observability could benefit from simplifying its learning curve and increasing ease of recruitable talent. Cribl may enhance its logging function visibility, API connection breadth, and security pack extensiveness.
Ease of Deployment and Customer Service: Cribl's flexible deployment allows smooth integration with responsive support. Sumo Logic's deployment is straightforward but may need more initial adjustments. Both offer solid customer service, with Cribl having a slight advantage in ease of integration.
Pricing and ROI: Sumo Logic has higher initial costs but offers substantial ROI through detailed analytics. Cribl's lower initial investment provides strong ROI by minimizing data storage costs, catering to budget-conscious data management strategies.
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.
Cribl is quite scalable, as we could add worker nodes as our data grows.
I don't need to talk to a Cribl engineer to connect a new log source.
It's an enterprise version, and we have a good amount of users using this solution.
Cribl is quite stable and doesn't crash; there's no unusual behavior.
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.
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.
Over time, the licensing cost has increased.
I don't think any other solution offers this much value at this price point.
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.
With the upgrades, it has integrated with multiple new sources and different integration mechanisms such as Wiz, TCP, Syslog; all those functionalities have been excellent.
Product | Market Share (%) |
---|---|
Cribl | 1.1% |
Sumo Logic Observability | 0.4% |
Other | 98.5% |
Company Size | Count |
---|---|
Small Business | 9 |
Midsize Enterprise | 4 |
Large Enterprise | 8 |
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 Observability offers advanced monitoring solutions with features like integrated dashboards and querying capabilities, though presents a learning curve compared to alternatives. Designed for efficient log aggregation and analysis, it provides near-real-time updates facilitating improved incident resolution.
Sumo Logic Observability stands out with its ability to unify teams through a single platform, offering features that include customizable dashboards and valuable apps. It provides powerful log tracing and centralized management, designed for organizations focused on log aggregation, analysis, and expanding SIEM capabilities. While it has a steeper learning curve compared to some competitors, it excels in tailored integrations that enhance log searches. Users find themselves able to monitor, automate, and centralize log repositories for effective debugging. Despite its strengths, improvements in data enrichment and documentation organization are needed as current query functions can be slow, impacting efficiency. Users have also mentioned needing pre-built dashboards and better tab management for enhanced functionality. Cost management remains a notable consideration for users evaluating Sumo Logic Observability.
What features make Sumo Logic Observability effective?Sumo Logic Observability is implemented across industries predominantly for managing and analyzing extensive data sets, offering capabilities critical for SIEM activities and security examinations. By facilitating quick data visualization and transaction tracking, organizations in sectors such as finance, healthcare, and technology benefit from its robust framework to support infrastructure logging and large-scale data management, contributing to effective monitoring and system operations.
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