Cribl is working to make it easier for IT teams to manage and analyze their telemetry data with the introduction of Cribl Lakehouse. 

“Lakehouse empowers organizations to unlock the full value of all their telemetry data by allowing IT and security teams to effortlessly store and analyze massive volumes of evolving telemetry data in real time—without requiring data engineering expertise,” the company wrote in a blog post. 

According to the company, traditional solutions are often designed for structured data, but because telemetry data can be unpredictable and dynamic, IT teams must define schemas, write complex SQL queries, and build parsers to make use of that data. 

Cribl Lakehouse can help organizations avoid those requirements by offering features such as:

  • Federated and distributed data management: Customers can manage a single lake or multiple lakehouses across regions and isolate those workloads to prevent query interference, improve security, and maintain role-based access control
  • Schema-agnostic data management: Cribl Lakehouse automatically structures telemetry data for exploration and analysis so users don’t have to deal with creating complex SQL queries, custom parsers, or ETL pipelines
  • Cloud-native scalability: Resources are dynamically provisioned so that users can start small and scale up as needed
  • Fully managed database: Cribl intelligently routes and stores data in the optimal format, eliminating the need for deep database expertise and reducing costs by up to 50% compared to traditional solutions
  • Tiered storage: Storage tiers can be defined based on access frequency and retention needs.

“Lakehouse future-proofs your infrastructure, so you can work smarter with your data, keep costs predictable, and your teams ahead — without expertise, without complex schema management, and without vendor lock-in,” the company wrote. 

According to Cribl, a Lakehouse can be set up in a few clicks. Data is ingested into a Cribl Lake dataset, and that dataset is added to a Lakehouse acceleration tier. Queries will automatically target the fastest option, whether that is Lakehouse or Cribl Lake, and Search runs similarly, choosing the best source based on the query time range. This data will stay in Lakehouse for up to 30 days, and full-fidelity data is also available via Replay in Cribl Lake. 

Cribl Lakehouse is available in early access for Cribl.Cloud Enterprise customers, and is expected to be generally available sometime in March.