Postgres to Iceberg in 13 minutes: How Supermetal compares to Flink, Kafka Connect, and Spark

Based on the information provided, here's a summary of the performance benchmarks for transferring data from PostgreSQL to AWS S3 using Apache Iceberg with different CDC (Change Data Capture) tools:

Supermetal

• Time taken: Approximately 1 hour
• Performance:
  • CPU and memory usage were high but not excessively so.
  • Produced uniform Parquet files of consistent size.
• Pros:
  • Efficient data transfer due to optimized CDC source and sink configurations.
  • Easy-to-use configuration with minimal tuning required.
• Cons:
  • None significant based on the provided information.

Flink (with Upserting)

• Time taken: Approximately 2 hours after optimization
• Performance:
  • High CPU and memory usage during execution.
  • Produced inconsistent Parquet file sizes due to checkpoint interval control.
• Pros:
  • Flexibility in handling upsert operations.
  • Dynamic routing capabilities similar to Supermetal.
• Cons:
  • Required significant tuning of CDC source parameters (fetch size, split size).
  • Inconsistent file sizes and high resource usage.

Flink (Append-only Mode)

• Time taken: Approximately 1.5

Read the full article at The New Stack

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