Cribl Stream vs. StreamSets DataOps Platform

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

Majorly for all Batch and Streaming Scenarios we are designing StreamSets pipelines, few best suited and tried out use cases below : 1. JDBC to ADLS data transfer based on source refresh frequency. 2. Kafka to GCS. 3. Kafka to Azure Event. 4. Hub HDFS to ADLS data transfer. 5. Schema generation to generate Avro. The easy to design Canvas, Scheduling Jobs, Fragment creation and utilization, an inbuilt wide range of Stage availability makes it an even more favorable tool for me to design data engineering pipelines.

Incentivized

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

Incentivized

• A easy to use canvas to create Data Engineering Pipeline.
• A wide range of available Stages ie. Sources, Processors, Executors, and Destinations.
• Supports both Batch and Streaming Pipelines.
• Scheduling is way easier than cron.
• Integration with Key-Vaults for Secrets Fetching.

Incentivized

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

Incentivized

• Monitoring/Visualization can be improvised and enhanced a lot (e.g. to monitor a Job to see what happened 7 days back with data transfer).
• The logging mechanism can be simplified (Logs can be filtered with "ERROR", "DEBUG", "ALL" etc but still takes some time to get familiar for understanding).
• Auto Scalability for heavy load transfer (Taking much time for >5 million record transfer from JDBC to ADLS destination in Avro file transfer).
• There should be a concept of creating Global variables which is missing.

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

StreamSets is a one-stop solution to design Data engineering Pipelines and doesn't require deep Programming knowledge, It's so user-friendly that anyone in Team can contribute to the Idea of pipeline design. In Hadoop One has to be programming proficient to use its various components like Hive, HDFS, Kafka, etc but in StreamSets all these stages are built-in and ready to use with minor configuration.

Incentivized

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

Incentivized

• Simplified Improvised Overall data ingestion and Integration Process.
• Support to various Hetrogenous Source systems like RDBMS< Kafka, Salesforce, Key Vault.
• Secure, easy to launch Integration tool.

Incentivized