Databricks vs Kaspian

Databricks is a cloud-based data lakehouse and AI company that has developed popular open source standards such as Apache Spark and Delta Lake. Databricks offers a variety of solutions for data storage, data processing, visualization and analytics, and AI operationalization.

Kaspian offers many of the same features as Databricks, including managed compute runtimes, pipeline GUIs, and hosted solutions for notebooks and dashboards. However, Kaspian’s pipelines have two key features that Databricks’s workflows lack. First, Kaspian’s native data staging capability makes it easier to debug pipelines by allowing users to query historical data flows as virtual tables. Second, Kaspian’s job metadata feature lets users share and propagate arbitrary data between pipeline steps, enabling simpler and more intuitive control flow management.

Additionally, Kaspian is less expensive than Databricks: we guarantee we can reduce your Databricks bill by at least 50% with minimal migration effort. Get started with Kaspian’s Free Tier and leverage the power of the modern data cloud today!