Serverless Lakehouse
The IOMETE lakehouse combines the best features of data lakes and data warehouses. Its performance and features make it the perfect workhorse for your data stack.
Apache Iceberg and Spark
The IOMETE lakehouse leverages Apache Iceberg as its core table format. Iceberg solves the challenges with traditional catalogs and is rapidly becoming an industry standard for managing data in data lakes. Apache Spark is an open source, distributed processing system used for big data workloads.
ACID transaction support
ACID transactions ensure the highest possible data reliability and integrity. They ensure that your data never falls into an inconsistent state because of an operation that only partially completes. For example, without ACID transactions, if you were writing some data to a database table, but the power went out unexpectedly, it's possible that only some of your data would have been saved, while some of it would not. Now your database is in an inconsistent state that is very difficult and time-consuming to recover from.
Schema enforcement and governance
The IOMETE lakehouse leverages Apache Iceberg as its core table format. Iceberg solves the challenges with traditional catalogs and is rapidly becoming an industry standard for managing data in data lakes. Apache Spark is an open source, distributed processing system used for big data workloads.
Autoscaling
In Autoscale mode, a multi-cluster warehouse eliminates the need for resizing the warehouse or starting and stopping additional warehouses to handle fluctuating workloads. IOMETE automatically starts and stops additional clusters as needed. Autoscale is by default enabled.
