The difference between database and data warehouse

Different data sources and processing methods, different data structures, different data use purposes, unreasonable data processing methods, different data volume and query complexity.

1, data sources and processing methods are different: databases are usually used to store, manage and query transaction data, while data warehouses are used to process and analyze query data. Data warehouse usually obtains data from multiple data sources, and after cleaning, transformation and integration, it forms an integrated data storage area to support multidimensional analysis and decision-making.

2. Different data structures: databases usually use relational data models, and data storage is presented in the form of tables, each of which consists of multiple rows and columns; Data warehouses usually use dimensional modeling or standardized modeling to design data to support multidimensional analysis and query.

3. Different data processing methods: databases are usually used for online transaction processing (OLTP) to support real-time data insertion, update and deletion, while data warehouses are mainly used for online analytical processing (OLAP) to support complex query and analysis operations.

4. Data has different uses: the database is mainly used to support business processes and applications, such as transaction processing, order management and inventory control. Data warehouse is mainly used to support decision-making, business intelligence, data mining, forecasting and analysis.

6. Data volume and query complexity are different: databases usually face small-scale and high-concurrency transaction processing, while data warehouses face large-scale and complex queries and analysis, and need to deal with massive data and high-complexity queries.