Data Lake

Apache Iceberg

Apache Iceberg is an open-source table format for huge analytic datasets that brings database-like features such as schema evolution, ACID transactions, and ti…

Delta Lake

Delta Lake is an open-source storage layer and table format, originally developed by Databricks, that brings ACID transactions, schema enforcement, and time tr…

Apache Hudi

Apache Hudi (Hadoop Upserts Deletes and Incrementals) is an open-source data lake table format and framework that enables efficient upserts, deletes, and incre…

Presto

Presto is an open-source, distributed SQL query engine designed to run fast, interactive analytic queries against data of any size, spanning multiple data sour…

Trino

Trino is an open-source, distributed SQL query engine, originally forked from Presto as PrestoSQL, built for fast, interactive analytics across large-scale and…

Data Warehouse

A data warehouse is a centralized repository that stores structured, cleaned, and integrated data from multiple source systems, organized specifically to suppo…

Data Lake

A data lake is a centralized storage repository that holds raw data in its native format — structured, semi-structured, or unstructured — without requiring a p…

Data Lakehouse

A data lakehouse is a data architecture that combines the low-cost, flexible storage of a data lake with the transactional reliability, schema enforcement, and…

Data Lake vs Data Warehouse: What is the Difference?

A data warehouse stores structured, schema-validated data organized for fast, well-defined analytical queries, while a data lake stores raw data of any format…

Data Lake vs Data Warehouse: What Is the Difference?

A data lake stores raw data of any format — structured, semi-structured, or unstructured — cheaply at scale and applies schema only when the data is read, whil…