Cribl Stream vs. IBM InfoSphere Optim

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

Optim is especially recommended for those companies that have their own or third-party development teams that must be provided with a complete data environment to test the applications. Optim is not recommended for use as an ETL or Data Integration tool.

Incentivized

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

Incentivized

• Easily extract data from production environments with no-coding
• Intelligent filtering capabilities using physical or logical relationships.
• Advanced data masking funtions

Incentivized

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

Incentivized

• Poor UI
• Complex architecture

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

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

Incentivized

• Optim can save companies a lot of money by protecting the sensitive data found in their databases, thus avoiding the theft of real customer information with the economic and media impact that this has.
• Accelerate the generation of non-productive environments saving time from human resources.

Incentivized