What database works best for quant development at the beginning?
The question is about Quantitative .
For a quant team just starting out, PostgreSQL plus Parquet files on object storage covers most needs: PostgreSQL for structured data like instrument metadata, trade logs, and configuration, and Parquet for the bulk of historical tick and bar data. PostgreSQL, first released in 1996, handles metadata and audit workloads without extra operational overhead, and Parquet, an Apache project since 2013, compresses well and reads fast for the range queries backtests depend on. Its columnar layout also stores repetitive time-series values far more efficiently than row-based formats like CSV, which matters once years of tick history start eating disk space.
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