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Cribl Stream

Score5.6 out of 10

5 Reviews and Ratings

What is Cribl Stream?

Cribl Stream is an observability pipeline offered by Cribl that addresses the data collection, transformation, routing, governance, and monitoring needs of organizations. According to the vendor, Cribl Stream is designed to serve businesses of all sizes, from small startups to large enterprises. It is widely adopted by professionals in IT Operations, DevOps, Security Operations, Data Engineering, and Observability and Monitoring industries.

Key Features

Data Collection: Cribl Stream enables users to ingest data from various sources, such as logs, metrics, traces, and more.

Support for diverse data formats: The platform supports handling data in different formats, including JSON, CSV, XML, and more.

Scalable data collection: The platform is designed to scale horizontally, allowing it to handle high volumes of data and accommodate growing data needs.

Real-time data ingestion: Cribl Stream facilitates real-time ingestion of data, ensuring up-to-date and actionable insights.

Data Reduction: Cribl Stream provides capabilities to reduce the volume of processed data, optimizing storage and processing costs.

Data Enrichment: Users can enrich data with additional context and metadata, enhancing its value and usefulness.

Data Normalization: Cribl Stream allows for the normalization of data across different sources, ensuring consistency and ease of analysis.

Data Parsing and Extraction: The platform enables the extraction of relevant information from complex data structures, simplifying analysis and visualization.

Flexible destination options: Cribl Stream supports routing data to various destinations, including data lakes, data warehouses, SIEMs, observability platforms, and more.

Intelligent routing decisions: Users can define rules and conditions to determine the routing of data based on content, source, or destination criteria.

Categories & Use Cases

May the Cribl force be with you

Use Cases and Deployment Scope

Log manipulation and filter out option is one of the coolest feature that we had with Cribl LogStream. by using Cribl LogStream, you can reduce your data size and log management tool's resources as well. You can even enrich the data within data pipeline before indexing data and whats more you can re-shape your data as many times as you want.

Pros

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

Cons

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

Most Important Features

  • data manipulation
  • reshape
  • enrichment
  • multiple destinations feature
  • pipelines and packs

Return on Investment

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

Alternatives Considered

Apache Kafka

Other Software Used

Apache Kafka, Palo Alto Networks Cortex XSOAR, Splunk User Behavior Analytics (UBA), Mandiant Advantage Threat Intelligence, CrowdStrike Falcon Endpoint Protection