On February 26, Cribl announced Cribl Lakehouse, a groundbreaking evolution within Cribl Lake that redefines how organizations store, manage, and analyze telemetry data at scale. Unlike traditional lakehouses built for structured enterprise data, Cribl Lakehouse is the first solution purpose-built for the dynamic and unpredictable nature of telemetry data.
With Cribl Lakehouse, companies can eliminate the complexity of schema management and manual data transformation while simultaneously delivering ultra-elastic scalability, federated query capabilities, and a fully unified management experience across diverse datasets and geographies. With Cribl Lakehouse, IT and security teams can effortlessly store massive volumes of ever-changing telemetry data while enabling real-time, high-performance dashboards and analytics, all without requiring data engineering expertise.
Modern IT and security teams are drowning in a flood of logs, metrics, and traces. Most of this data holds little value until an incident or investigation occurs. Storing and analyzing massive amounts of “just-in-case” data is both prohibitively expensive and complex with legacy solutions. Traditional lakehouses are built for structured data, requiring users to manually define schemas, deeply understand SQL, and build parsers just to make telemetry data usable. Teams must spend time managing complex ETL pipelines instead of asking questions at the speed of thought to find valuable insights. Cribl Lakehouse removes these barriers by offering real-time visibility, instant access to any stored data, and the ability to compose, manage, and query highly distributed datasets across regions—all from a single unified interface.
“Today’s organizations need more than just another lakehouse. They need a flexible, highly scalable solution designed for the incredible volume, variety, and unique varying value of telemetry data,” said Clint Sharp, CEO and co-founder at Cribl. “Cribl Lakehouse allows customers to manage one or many lakes with ease, isolate workloads for performance and security, and dynamically accelerate queries across highly distributed datasets. By automating tiered storage and eliminating traditional complexity, Cribl gives customers the power to unlock full-fidelity data insights at a fraction of the cost.”
Source: Cribl
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