Cribl Stream vs. IBM Log Analysis with LogDNA

Advantages - if you'd like to re-shape/manipulate data, Cribl LogStream comes to help! - If you'd like to enrich data within data pipeline without any struggle, Cribl LogStream is the one! - If you'd like to reduce data size, cribl is the one! Disadvantages - there is ML/AI module for streaming data. - There is no sigma integration for security use cases.

Incentivized

IBM Log Analysis with LogDNA is well suited if you are using other IBM cloud product ecosystems. It's very mature and supports HIPAA-compliant configurations if you need to store PI/PHI data. We particularly use it for audit requirements but understand the limitation with the retention period is for 30 days only. Also you need to configure if your IBM cloud service doesn't have any log collection or report tool. Log collection agents are widely supported for most of infrastructure in cloud.

Incentivized

• data manipulation
• Data enrichment
• re-shape your data from any format to any
• onboard any data from anywhere

Incentivized

• Easier integration with other IBM cloud resources
• Flexible access control setup using RBAC
• Supports other infrastructure as well, like Kubernetes and VMs

Incentivized

• Implementation of sigma use cases within data pipeline
• Machine learning features
• creating pipeline

Incentivized

• Ability to create KPI charts and metrics dashboards out of the box

Incentivized

-Cribl LogStream has a huge growing community and plugin play packs that help you to onboard and reduce your size within 5 min. -Friendly user interface -The broker feature saves your life against regulations. - field extraction's never been so easy before. - multiple sources and destinations feature to give you an easy playground.

Incentivized

If you use other IBM product ecosystems, IBM Log Analysis with LogDNA is the obvious choice, as it supports seamless integration and better access control with IBM cloud access group setups. IBM Log Analysis with LogDNA was flexible and has wide support for various infrastructure implementations and is also controlled by the same IAM access setup. It can be configured for any IBM cloud services or platform logs or for infrastructure by installing the agent.

Incentivized

• with reshaping and manipulation our indexing rate decrease over %40
• Data onboarding SLAs is decrease almost over %50

Incentivized

• Most of IBM cloud services support easier integration for log analysis.
• We are able to achieve compliance with various audit log reports, which improves governance and control over various cloud resources we have.
• Also IBM Log Analysis with LogDNA helps in troubleshooting and analysis for application logs in real time. This helps with improved issue resolution timings.

Incentivized