I. Five Recommended Mainstream Databases
MySQL: An open-source relational database, renowned for its low cost, high performance, and scalability, widely used in web applications, e-commerce, and small to medium-sized projects. Supporting multiple storage engines and boasting excellent compatibility, it's a top choice for internet companies.
PostgreSQL: An open-source relational database, known for its high scalability and rich functionality. Supporting stored procedures, parallel processing, and diverse index types, it's suitable for enterprise applications, Geographic Information Systems (GIS), and large-scale data analysis scenarios.
MongoDB: A non-relational document database using the BSON format for data storage, flexibly supporting semi-structured data. Its high performance, high availability, and distributed scalability make it a popular choice for big data processing, real-time analysis, and the Internet of Things (IoT).
Oracle Database: A commercial relational database, excelling in high concurrency, high availability, and long-term stability, widely used in data management and analysis scenarios for large enterprises in finance, telecommunications, and other sectors.
Redis: An in-memory key-value database, featuring ultra-fast read/write performance and rich data structures (strings, hashes, lists, etc.), suitable for caching systems, session storage, and high-frequency leaderboards.
II. ScrapeStorm Data Export Support
As an AI-driven web scraping tool, ScrapeStorm supports direct export of collected data to various databases, including MySQL, SQL Server, PostgreSQL, and MongoDB.
Through its multi-format export capabilities, ScrapeStorm can efficiently connect to different database environments, providing enterprises with a one-stop solution from data collection to storage.
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