10 Reasons to Make Apache Iceberg Dremio Part of Your Data Lakehouse Strategy

Alex Merced - Tech Evangelist
9 min readMar 2, 2024

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Build an Iceberg Lakehouse on Your Laptop

Apache Iceberg is disrupting the data landscape, offering a new paradigm where data is not confined to the storage system of a chosen data warehouse vendor. Instead, it resides in your own storage, accessible by multiple tools. A data lakehouse, which is essentially a modular data warehouse built on your data lake as the storage layer, offers limitless configuration possibilities. Among the various options for constructing an Apache Iceberg lakehouse, the Dremio Data Lakehouse Platform stands out as one of the most straightforward, rapid, and cost-effective choices. This platform has gained popularity for on-premises migrations, implementing data mesh strategies, enhancing BI dashboards, and more. In this article, we will explore 10 reasons why the combination of Apache Iceberg and the Dremio platform is exceptionally powerful. We will delve into five reasons to choose Apache Iceberg over other table formats and five reasons to opt for the Dremio platform when considering Semantic Layers, Query Engines, and Lakehouse Management.

5 Reasons to Choose Apache Iceberg Over Other Table Formats

Apache Iceberg is not the only table format available; Delta Lake and Apache Hudi are also key players in this domain. All three formats provide a core set of features, enabling database-like tables on your data lake with capabilities such as ACID transactions, time-travel, and schema evolution. However, there are several unique aspects that make Apache Iceberg a noteworthy option to consider.

1. Partition Evolution

Apache Iceberg distinguishes itself with a feature known as partition evolution, which allows users to modify their partitioning scheme at any time without the need to rewrite the entire table. This capability is unique to Iceberg and carries significant implications, particularly for tables at the petabyte scale where altering partitioning can be a complex and costly process. Partition evolution facilitates the optimization of data management, as it enables users to easily revert any changes to the partitioning scheme by…

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Alex Merced - Tech Evangelist

Alex Merced is a Developer Advocate for Dremio and host of the Web Dev 101 and Datanation Podcasts.