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This topic has appeared in the trending rankings 1 time(s) in the past year. While it does not trend frequently, its appearance suggests a renewed or concentrated surge of public interest.
Based on Wikipedia pageviews and search interest, this topic gained significant attention on the selected date.
Apache_Iceberg entered the ranking for the first time today at position #. This is its highest position ever recorded.
This topic has appeared in the English Wikipedia rankings 1 time. It first appeared on 2026-06-11 and was most recently seen on 2026-06-11.
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, StarRocks, Doris, and Pig to safely work with the same tables, at the same time. Iceberg is released under the Apache License. Iceberg addresses the performance and usability challenges of Apache Hive tables in large and demanding data lake environments. Iceberg was originally developed at Netflix in 2017 to overcome scalability and consistency limitations of Apache Hive tables, and was donated to the Apache Software Foundation in 2018. It graduated to a top-level Apache project in May 2020. Vendors currently supporting Apache Iceberg tables include Buster, CelerData, Cloudera, Crunchy Data, Dremio, IBM watsonx.data, IOMETE, Oracle, Snowflake, Starburst, Tabular, AWS, Google Cloud, and Databricks.
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