Apache iceberg the Hadoop of the modern-data-stack?
Published on: 2025-07-01 00:53:46
Apache Iceberg: The Hadoop of the Modern Data Stack? Dani · Follow Published in Data Engineer Things · 6 min read · Dec 12, 2024 -- 6 Listen Share
In the early 2010s, Apache Hadoop dominated the big data conversation. Organizations raced to adopt it, seeing it as the cornerstone for scalable, distributed storage and processing. Today, Apache Iceberg is emerging as a cornerstone for data lakes and lakehouses in the modern data stack.
And yet, for those who lived through the “Big Data era,” a deeper look reveals striking parallels between Iceberg’s trajectory and the story of Hadoop.
Let’s explore these parallels and what they mean for the future of data engineering.
Adoption Frenzy: Solving the Right Problem at the Right Time
Hey it’s an Iceberg!
Hadoop’s rise was fueled by an urgent need for distributed file storage and processing, offering a solution to the “big data deluge.” Similarly, Iceberg addresses a core problem in data lakes: managing large, constantly evolving datasets
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