Cribl has announced the launch of Cribl Lake, the data lake solution designed to put IT and security teams on the fast-track to having complete control and flexibility over their data. Provisioned directly from Cribl.Cloud, organizations collect, analyze, and route a complete view of all IT and security data across the enterprise, streamlining workflows and providing value within minutes. Cribl Lake’s unified management layer allows organizations to leverage low-cost object storage, either Cribl-managed or customer-owned, and automate provisioning, unify security and retention policy, and use open formats to eliminate vendor lock-in.

Clint Sharp, co-founder and CEO of Cribl, said: “With Cribl Lake, users can cost-effectively onboard huge volumes of data and set security and retention policies, all in open formats that empower them to efficiently analyze and extract value from any analytics tool, today or in the future.”

With Cribl Lake, users can:

• Store any type of IT and security data including raw, structured, unstructured, or other various formats.
• Optimize for future value through schema-on-need, store in any format and reformat when needed.
• Easily access data through open formats to simplify future analysis, replay operations, and data portability.
• Maintain security and compliance with unified security features, retention policies, authentication features, and access controls.
• Reduce storage costs with comprehensive tiered storage based on data value.
• Break down data silos by improving data accessibility and analysis by sharing data across the enterprise with a central repository.

Cribl Lake is fully integrated with Cribl’s suite of products and can be onboarded in a matter of minutes, with no data or cloud-service provider expertise required of its users. Teams can effortlessly ingest, share, and route data downstream through Cribl Stream and Cribl Edge in any format, to any tool, at any time, without needing to move or rehydrate data to run analysis. Cribl Search unifies the query experience no matter where data is stored, so users can get value from data without delays.