Table formats
e6data supports table formats that define how data is stored, managed, and queried in a data lake or lakehouse environment. These are the table formats we support, and each table format provides a specific set of features based on its design and capabilities.
These formats offer advanced functionalities such as ACID transactions, schema and partition evolution, time travel, and efficient metadata handling.
Open-source storage layer that brings ACID transactions and scalable metadata handling to data lakes. Ideal for use cases requiring data reliability and consistency.
High-performance table format built for analytic datasets. Supports schema evolution, partitioning, and time travel without sacrificing performance.
Tables registered in a Hive Metastore (or compatible catalog) and stored in object storage. A common format for Hadoop- and Spark-based data lakes.
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