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Apache Iceberg is a high-performance open-source format for large analytic tables. Iceberg enables the use of SQL tables for big data while making it possible for engines like Spark, Trino, Flink, Presto, Hive, Impala, and Pig to safely work with the same tables, at the same time. Iceberg is released under the Apache License. Iceberg addresses the…
History, Overview & Technical details
Explore the main themes, entities and connections around Apache Iceberg. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Apache Iceberg | License | Apache License 2.0 | 1.00 | infobox |
| Apache Iceberg | Operating system | Cross-platform | 1.00 | infobox |
| Apache Iceberg | Original authors | Ryan Blue, Daniel Weeks | 1.00 | infobox |
| Apache Iceberg | Release | 10 August 2017; 9 years ago (10 August 2017) | 1.00 | infobox |
| Apache Iceberg | Repository | github.com/apache/iceberg | 1.00 | infobox |
| Apache Iceberg | Stable release | 1.10.0 / 11 September 2025; 11 months ago (2025-09-11) | 1.00 | infobox |
| Apache Iceberg | Type | Data warehouse, Data lake | 1.00 | infobox |
| Apache Iceberg | Website | iceberg.apache.org | 1.00 | infobox |
| Apache Iceberg | Written in | Java, Scala, Python | 1.00 | infobox |
| Apache Iceberg | is a | high-performance open-source format for large analytic tables | 0.90 | text |
| predicate pushdown | instance of | significantly reducing storage costs and improving read performance through techniques | 0.80 | text |
| column pruning | instance of | significantly reducing storage costs and improving read performance through techniques | 0.80 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.