Indexes and Query Performance in Babelfish on FoundryDB
· 6 min read
Babelfish translates T-SQL to PostgreSQL internally. For most index operations and query tuning work, this is transparent: you write the same CREATE INDEX syntax you would use on SQL Server, and Babelfish creates the corresponding PostgreSQL index. Some SQL Server performance tooling does not map cleanly to the PostgreSQL layer, and it is useful to know where the boundaries are before you start profiling.
This post documents index behaviour and query performance tooling in Babelfish 4.8.0, based on confirmed results from live testing on a FoundryDB staging instance. All results use a 10,000-row table tested against PostgreSQL 16.11.