Database in trading

SQL remains a fundamental tool for querying and managing data. SQL's simplicity and power make it accessible to both beginners and experts. In trading systems, SQL enables efficient data retrieval and manipulation. Users can write SQL queries to analyze market trends and execute trading strategies.

Postgres is an open-source production-ready database with lots of use cases. Mongo is a NoSQL alternative that can sometimes be much faster than SQL databases. Arctic is built upon Mongo to make it even more helpful for those who work with market data, as Arctic supports pandas dataframes and NumPy arrays by default.