Redis is superior to traditional databases in high concurrency and low latency scenarios, but is not suitable for complex queries and transaction processing. 1.Redis uses memory storage, fast read and write speed, suitable for high concurrency and low latency requirements. 2. Traditional databases are based on disk, support complex queries and transaction processing, and have strong data consistency and persistence. 3. Redis is suitable as a supplement or substitute for traditional databases, but it needs to be selected according to specific business needs.

To connect to MySQL databases, you can use JDBC, MySQLConnector/Python and mysql2 libraries. 1.JDBC is suitable for Java developers, with intuitive code and suitable for beginners. 2.MySQLConnector/Python is an official library with good performance and stability and is suitable for Python developers. 3. Mysql2 library is suitable for high-performance and asynchronous operation scenarios of Node.js.

Navicat improves database workflow through core functions such as data modeling, SQL development, data transmission and synchronization. 1) Data modeling tools allow the design of database structures by dragging and dropping. 2) SQL development tools provide syntax highlighting and automatic completion to improve the SQL writing experience. 3) The data transmission function automatically handles data type conversion and consistency checks to ensure smooth data migration. 4) The data synchronization function ensures data consistency in development and production environments.

Lock waiting issues can be solved by optimizing SQL statements, using appropriate transaction isolation levels, and monitoring database performance. 1. Optimize SQL statements to reduce lock holding time, such as improving query efficiency through indexing and partitioning. 2. Choose the appropriate transaction isolation level to avoid unnecessary lock waiting. 3. Monitor database performance and promptly discover and deal with lock waiting problems.

To handle "memory overflow" errors in Navicat, you can use the following steps: 1. Make sure that the Navicat version is up-to-date; 2. Check and may upgrade system memory; 3. Adjust Navicat settings, such as limiting the size of the query result set and processing data in batches; 4. Optimizing SQL statements and using indexes; 5. Optimizing queries with query analyzer; 6. Exporting data in batches; 7. Monitoring and managing log files. Through these methods, the risk of memory overflow can be effectively reduced and the efficiency and stability of database operations can be improved.

Navicat can handle data conversion and cleaning problems efficiently. 1) Automatically convert data formats when importing through SQL scripts, such as converting strings to numeric values. 2) Use the Data Import Wizard for simple conversion and cleaning. 3) First export a small part of the data test, and then batch import large data volumes to improve efficiency and avoid failure.

Learning SQL requires mastering basic knowledge, core queries, complex JOIN operations and performance optimization. 1. Understand basic concepts such as tables, rows, and columns and different SQL dialects. 2. Proficient in using SELECT statements for querying. 3. Master the JOIN operation to obtain data from multiple tables. 4. Optimize query performance, avoid common errors, and use index and EXPLAIN commands.

Better database management tools than Navicat are DBeaver, DataGrip and HeidiSQL. 1.DBeaver is open source and customizable, suitable for users who like open source software. 2.DataGrip is powerful, suitable for developers and has excellent user experience. 3.HeidiSQL is free and lightweight, suitable for small projects and personal use.