Performance and cost tests of OLake and Apache Iceberg workloads.
We benchmark Spark rewrite_data_files against OLake Fusion compaction on Apache Iceberg by running a full TPCH lineitem load from Postgres to GCP, applying 200k-record CDC batches every 2 minutes, and tracking TPC-H Query 6 performance, runtime, resource usage, and infrastructure cost.
We ran TPC-H queries on Iceberg tables with many small files, then compacted them and ran the same queries again. Here's how much faster compaction made them.
A detailed TPC-H benchmarking study comparing Iceberg and Databricks to determine which delivers better performance and cost efficiency.
Technical deep dive into our destination refactor: exactly-once visible state, atomic commits, and a 7× throughput boost.
Discover OLake's data ingestion speed secrets-adaptive chunking, parallel execution, and CDC strategies for scalable, low-latency replication performance.