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Enterprises today struggle with the complexity of maintaining both data lakes and data warehouses. They grapple with data silos that prevent a single source of truth, the expense of maintaining complicated data pipelines, and reduced decision-making speed.
The answer to this complexity is the lakehouse, a platform architecture that implements similar data structures and data management features to those in a data warehouse directly on the low-cost, flexible storage used for cloud data lakes. This new, simplified architecture allows traditional analytics and data science to co-exist in the same system.
To bring this to life, Databricks recently announced the new SQL Analytics service to provide customers with a first-class experience for performing BI and SQL workloads directly on the data lake, augmenting the rich data science and data engineering capabilities already available in the Databricks platform. With this launch, we are the first to realize the complete vision of lakehouse architecture to deliver 9x better price/performance than traditional cloud data warehouses.