Amazon EMR 7.5 runtime for Apache Spark and Iceberg can run Spark workloads 3.6 times faster than Spark 3.5.3 and Iceberg 1.6.1
Big Data Blog
Amazon has announced the Amazon EMR 7.5 runtime for Apache Spark and Iceberg, which demonstrates significant performance improvements for data processing workloads:
- Runs Spark workloads 3.6 times faster than Spark 3.5.3 and Iceberg 1.6.1
- Reduces total runtime from 1.54 hours to 0.42 hours on TPC-DS 3TB benchmark
- Improves cost efficiency by 2.9 times, reducing costs from $16.00 to $5.39
- Scans approximately 3.4 times less data from Amazon S3
- Represents a 32% performance increase from Amazon EMR 7.1
The performance gains are achieved through continued optimization of DataSource V2 and Spark operators, making it an attractive option for data processing and analytics workloads.
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