A CSV file is a plain text file where each line represents a row, and columns are separated by commas (or other delimiters like semicolons or tabs). It has no schema, relationships, or data type enforcement. Its beauty is its simplicity: it can be opened in any text editor, spreadsheet software (Excel, Google Sheets), or data analysis tool (Python, R, Power BI).
Store snapshots in a format that is not version-dependent on a specific database engine. Best Tools for Conversion 1. Redis RDB Tools Siemens SiePortal .rdb file to csv conversion tool - Siemens SiePortal rdb to csv
engine = sqlalchemy.create_engine('postgresql://user:pass@localhost/db') df = pd.read_sql("SELECT * FROM users JOIN orders ON users.id = orders.user_id", engine) df.to_csv('output.csv', index=False) A CSV file is a plain text file
Used in industrial settings (e.g., WinCC Flexible or TIA Portal) to log process data. These files are often internally structured as SQLite databases. Store snapshots in a format that is not
A relational database (e.g., MySQL, PostgreSQL, SQL Server, Oracle) organizes data into with rows and columns. Its power lies in relationships —linking tables via keys (primary and foreign). This structure enforces data integrity, reduces redundancy (normalization), and supports complex transactions using SQL (Structured Query Language).