Relational Databases vs. Non-Relational Databases: DBeaver Cross-Database Operations

# 1. Introduction to Database Types

### 1.1 Relational Databases
Relational databases are databases that organize data using a relational model. Data is stored in tables, with each table containing multiple rows (records), and each row having multiple columns (fields). Relational databases follow ACID properties, which stand for Atomicity, Consistency, Isolation, ***mon relational databases include MySQL, PostgreSQL, Oracle, and others.

In relational databases, data is stored in a normalized manner, establishing relationships between tables through primary and foreign keys, ensuring data integrity and consistency. They have strong transaction processing capabilities, supporting complex SQL queries and transactional operations.

| Feature | Description |
|------------------|---------------------------------------------------------------------------------------------------------------|
| Data Structure | Uses tabular format to store data, with relationships between tables established through key values |
| Data Integrity | Provides robust data integrity constraints, ensuring data consistency and integrity |
| Transaction Processing | Supports transaction processing with ACID properties, ensuring atomicity, consistency, isolation, and durability |
| Complex Queries | Supports complex SQL queries, suitable for scenarios requiring complex data analysis and processing |

### 1.2 Non-Relational Databases
Non-relational databases, also known as NoSQL databases, do not use the traditional row and column structure to store data. Instead, they organize data in formats such as key-value pairs, documents, column families, or graphs. Non-relational databases emphasize scalability and flexibility, making them suitable for scenarios with large amounts of data, dynamic structures, and a need for high scalability.

Different types of non-relational databases include document-oriented databases (such as MongoDB), key-value stores (such as Redis), column-family databases (such as HBase), and graph databases (such as Neo4j). Unlike the ACID properties of relational databases, non-relational databases focus on distributed and high-performance characteristics.

| Feature | Description |
|------------------|---------------------------------------------------------------------------------------------------------------|
| Data Structure | Does not use traditional tabular format; stores data using key-value pairs, documents, column families, or graphs |
| Data Scalability | Non-relational databases emphasize scalability and flexibility, suitable for large amounts of unstructured data |
| Distributed Characteristics | Designed with distributed and high-performance needs in mind, suitable for large-scale data storage and processing |
| Data Replication and Sharding | Supports data replication and sharding to enhance data reliability and scalability |

# 2. Introduction to DBeaver

DBeaver is a free and open-source database management tool that supports multiple database management systems, including both relational and non-relational databases. With DBeaver, users can conveniently perform cross-database operations, manage, and query various types of databases. Below we will introduce the features and advantages of DBeaver.

### 2.1 Features of DBeaver
The features of DBeaver include:
- Multi-database Support: DBeaver supports numerous relational databases (such as MySQL, PostgreSQL, Oracle) and non-relational databases (such as MongoDB, Redis).
- Multi-platform Support: DBeaver can run on various operating systems, including Windows, Mac, and Linux.
- Data Import/Export: Supports data import and export, facilitating data management and migration.
- Database Object Management: Allows viewing and managing database objects such as tables, views, stored procedures, etc.
- SQL Editor: Built-in SQL editor with features such as code highlighting and syntax checking.

### 2.2 Advantages of DBeaver
The advantages of DBeaver over other database tools are:
- Free and Open Source: DBeaver is a completely free database management tool with no restrictions on usage.
- Powerful Functionality: Offers a rich set of features and tools to meet various database management needs.
- Plugin Support: Supports a variety of plugins for customization and expansion according to user needs.
- User-Friendly: With a clean and intuitive interface, DBeaver is easy to operate, suitable for users with various technical levels.

Below is a flowchart showing the process of connecting a database in DBeaver:

graph TD;
     A(Start DBeaver) --> B(Create New Database Connection);
     B --> C(Select Database Type);
     C --> D(Fill in Connection Information);
     D --> E(Test Connection);

From the above introduction, it is evident that DBeaver is a powerful and user-friendly database management tool suitable for managing databases of various sizes and types.

# 3. Cross-Database Operations in DBeaver

In DBeaver, cross-database operations can be performed, including conne