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What are the pros and cons of using Apache Iceberg versus Delta Lake when building a data lakehouse on top of AWS S3 for my class
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What are the pros and cons of using Apache Iceberg versus Delta Lake when building a data lakehouse on top of AWS S3 for my class
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Apache Iceberg official documentation architecture snapshots manifests schema evolution AWS Glue Athena support Google ↗
Delta Lake official documentation transaction log features AWS S3 Spark compatibility AWS integrations Google ↗
- Official Apache Iceberg website · iceberg.apache.org
- Official Delta Lake documentation · docs.delta.io
- Introduction to Delta Lake · docs.aws.amazon.com
- Storage configuration · docs.delta.io
- Spec · iceberg.apache.org
- Query Apache Iceberg tables · docs.aws.amazon.com
- Using data lake frameworks with AWS Glue ETL jobs · docs.aws.amazon.com
- Frequently asked questions (FAQ) · docs.delta.io
- Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg · aws.amazon.com
- Using the Iceberg framework in AWS Glue · docs.aws.amazon.com
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| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Apache Iceberg official documentation architecture snapshots manifests schema evolution AWS Glue Athena support OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Delta Lake official documentation transaction log features AWS S3 Spark compatibility AWS integrations OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |