Alan Lee
07/01/2026, 3:31 AMRocky
07/01/2026, 3:31 AMQUERY_PROFILES and EXECUTION_ENGINE_PROFILES to identify heavy analytical workloads that StarRocks can accelerate.
* Storage & Lifecycle: Analyzing STORAGE_CONTAINERS and PARTITION_COLUMNS to understand data aging and how StarRocks' Automated Data Lifecycle Management (e.g., cold data offloading to S3/HDFS) can reduce storage costs.
* TCO Evaluation: Comparing Vertica's licensing and hardware requirements against StarRocks' shared-data architecture, which often reduces TCO by separating compute and storage.
3. Professional Assessment Services
For large-scale enterprise migrations involving complex TCO evaluations:
* CelerData (Commercial StarRocks): CelerData provides assessment services and specialized migration toolkits (sometimes including proprietary scripts) to automate the discovery of Vertica schemas and ETL logic.
* Third-party Solutions: Tools like LeapLogic have been used in industry case studies to automatically identify and transform Vertica workloads (DDLs, scripts, and views) into modern formats, which can then be targeted at StarRocks.
Summary
If you are looking for a built-in "Discovery Dashboard" within StarRocks, it does not exist today. The standard path is to analyze Vertica's system metadata manually or work with the StarRocks community/partners for a guided Proof of Concept (PoC) where they can provide scripts to help evaluate the potential TCO reduction and management simplification.
References
• integrations/loading_tools/SMT.md
• administration/data_migration_tool.md