Apache Iceberg

Apache Iceberg
Original author(s)Ryan Blue, Daniel Weeks
Initial release10 August 2017 (10 August 2017)
Stable release
1.8.1 / 28 February 2025 (2025-02-28)
Repository
Written inJava, Scala, Python
Operating systemCross-platform
TypeData warehouse, Data lake
LicenseApache License 2.0
Website

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.[1] Iceberg is released under the Apache License.[2] Iceberg addresses the performance and usability challenges of Apache Hive tables in large and demanding data lake environments.[3] Vendors currently supporting Apache Iceberg tables include Buster,[4] CelerData, Cloudera, Crunchy Data,[5] Dremio, IBM watsonx.data, IOMETE, Snowflake, Starburst, Tabular,[6] AWS,[7] and Google Cloud.[8]

  1. ^ "Apache Iceberg". iceberg.apache.org. Retrieved 5 October 2022.
  2. ^ "apache/iceberg GitHub License". The Apache Software Foundation. 5 October 2022. Retrieved 5 October 2022.
  3. ^ Woodie, Alex (8 February 2021). "Apache Iceberg: The Hub of an Emerging Data Service Ecosystem?". Datanami. Archived from the original on 4 September 2024. Retrieved 5 October 2022.
  4. ^ "Buster". Archived from the original on 2024-09-09. Retrieved 2024-09-09.
  5. ^ Woodie, Alex (24 July 2024). "Crunchy Data Goes All-in With Postgres". The Big Data Wire. Archived from the original on 13 September 2024. Retrieved 9 November 2024.
  6. ^ "Vendors". iceberg.apache.org. Retrieved 2023-05-05.
  7. ^ "Using Apache Iceberg tables – Amazon Athena". Amazon Web Services, Inc. Archived from the original on 2024-09-04. Retrieved 2023-06-16.
  8. ^ "Google Cloud BigQuery tables for Apache Iceberg". Google Cloud, Inc. Archived from the original on 2024-11-22. Retrieved 2024-11-21.

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