OpenText Behavioral Signals and Cribl compete in the analytics and IT operations domain, with OpenText's feature depth and Cribl's ease of deployment offering unique advantages. Cribl's cost-effectiveness and strategic pricing provide a favorable edge.
Features: OpenText Behavioral Signals offers behavioral analytics, machine learning integrations, and natural language processing. Cribl highlights data processing capabilities, seamless data routing, and compatibility with various data sources.
Room for Improvement: OpenText could enhance the ease of configuration and reduce customization requirements. Cribl could improve connectivity issues and expand integration with more data sources. OpenText might benefit from simplified deployment processes, while Cribl can work on refining its user interface further.
Ease of Deployment and Customer Service: OpenText requires more initial configuration and customization, providing thorough deployment options. Cribl focuses on streamlined deployment with fast implementation, making it accessible for quick setups.
Pricing and ROI: OpenText has a higher initial setup cost, which aligns with its comprehensive features and customization, leading to significant long-term ROI. Cribl offers competitive pricing and a cost-effective entry, emphasizing quick returns through efficient data processing.
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 | 1.2% |
OpenText Behavioral Signals | 0.5% |
Other | 98.3% |
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.
OpenText Behavioral Signals enhances organizational security monitoring with its robust correlation engine and streamlined dashboard, offering customization to suit different environments like airports or banks.
OpenText Behavioral Signals effectively integrates device logs through its strong correlation engine. The platform's customization options enable tailored alerts to match specific use cases, such as airports or banks. Although it needs more frequent updates to stay aligned with global incidents, it provides a centralized dashboard that ensures comprehensive visibility across networks. Users find the interface intuitive, making rule writing and report access easy, aiding in a comprehensive understanding of the network environment.
What are the key features of OpenText Behavioral Signals?In industries like banking and airports, OpenText Behavioral Signals is implemented for gathering global intelligence from the cloud. It notifies organizations about global attacks and updates its correlation engines. These industries utilize the platform for monitoring and analyzing logs from network devices, security log management, and addressing network challenges like link failures and unauthorized login attempts, ensuring better security posture with behavioral analytics and log integration using Unix and Microsoft-based connectors.
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