内容驱动型 Web 应用的数据存储选项
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您可以根据内容驱动型 Web 应用的需求来组合数据存储技术。使用 SQL 处理结构化数据,使用云端存储空间处理媒体文件,是满足各种数据存储需求的常用方法。
数据存储方案和有效模式包括:
存储选项 |
SQL |
结构化查询语言 (SQL) 存储使用关系型数据库管理服务 (RDBMS) 来存储结构化数据,例如元数据和关系型数据。对于需要数据一致性、强有力的事务支持和复杂查询功能的 Web 应用,它是一个不错的选择。 |
NoSQL 数据库 |
NoSQL 数据库非常适合半结构化或非结构化数据,例如具有灵活数据方案的内容驱动型 Web 应用。例如 MongoDB、Cassandra 和 Couchbase。它们可以处理大量数据,并提供可伸缩性和高可用性。 |
键值对存储 |
键值对存储是一种 NoSQL 数据库或数据存储模型,能够以键值对的形式组织和检索数据。数据以与相应值相关联的键集合的形式进行存储。这种方式在处理大量数据方面具有简单易用、高性能和高效率。
|
CMS |
内容管理系统 (CMS) 平台提供内置内容存储、整理和检索功能。例如 WordPress、Drupal 和 Joomla。
|
搜索引擎 |
搜索功能可以将大量文本内容编入索引并进行搜索,从而提高搜索性能。例如 Elasticsearch 和 Solr。 |
Cloud Storage |
Google Cloud Storage 等云端存储解决方案非常适合存储视频、文档和图片等大型文件。Cloud Storage 具有可伸缩性、耐用性和内容分发功能,因此适用于内容驱动的 Web 应用。 |
事件流/事件日志存储 |
事件流或事件日志存储侧重于捕获和存储事件或状态更改,并将其作为 Web 应用中的主要可信来源。事件流存储可按时间顺序记录一段时间内发生的所有操作或事件。如果需要使用历史数据、审核和重建过去状态,则此选项非常有用。 |
点对点 |
点对点存储通过将数据分布到连接到同一网络的多个对等节点,来分散数据。由于每个对等节点都会占用存储空间,因此您无需依赖中央服务器或数据中心即可检索数据。 |
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最后更新时间 (UTC):2025-07-25。
[null,null,["最后更新时间 (UTC):2025-07-25。"],[[["\u003cp\u003eContent-driven web applications often benefit from combining different data storage technologies to handle diverse data types.\u003c/p\u003e\n"],["\u003cp\u003eSQL databases excel at managing structured data like metadata, while NoSQL databases and cloud storage are well-suited for semi-structured and unstructured data such as media files.\u003c/p\u003e\n"],["\u003cp\u003eKey-value stores offer efficient retrieval of data using key-value pairs, while content management systems (CMS) provide built-in features for content storage and organization.\u003c/p\u003e\n"],["\u003cp\u003eFor enhanced search capabilities, search engines like Elasticsearch can be integrated, and cloud storage services offer scalability and content delivery features for large files.\u003c/p\u003e\n"]]],["Web applications can leverage various data storage technologies: SQL for structured data, NoSQL databases for flexible schemes, and key-value storage for high-performance data retrieval. Cloud storage is optimal for large media files. Content management systems (CMS) offer built-in storage, while search engines index textual content. Event stream storage captures chronological event records. Peer-to-peer (P2P) storage distributes data across multiple nodes for decentralized access. Combining these methods, such as SQL with cloud storage, is common.\n"],null,["# Data Storage Options for Content-Driven Web Apps\n\nYou can combine data storage technologies depending on the needs of your\ncontent-driven web applications. Using SQL for structured data and cloud storage\nfor media files is a common approach to meet diverse data storage needs.\n\nData storage options and effective modalities include:\n\n| Storage Options ||\n|--------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| SQL | Structured query Language (SQL) storage uses relational database management services (RDBMS) to store structured data such as metadata and relational data. It is a good option for web applications that require data consistency, strong transactional support, and complex querying capabilities. |\n| NoSQL Databases | NoSQL databases are good options for semi-structured or unstructured data such as content-driven web applications with flexible data schemes. Examples include MongoDB, Cassandra, and Couchbase. They can handle large volumes of data, and provide scalability, and high availability. |\n| Key-Value Storage | Key-value storage is a type of NoSQL database or data storage model that organizes and retrieves data as key-value pairs. Data is stored as a collection of keys associated with a corresponding value. This option offers simplicity, high performance, and efficiency in handling large volumes of data. |\n| CMS | Content management systems (CMS) platforms provide built-in content storage, organization, and retrieval capabilities. Examples include [WordPress](https://wordpress.com/), [Drupal](https://www.drupal.org/), and [Joomla](https://www.joomla.org/). |\n| Search Engines | Search functionalities can index and search large volumes of textual content, improving search performance. Examples include Elasticsearch and Solr. |\n| Cloud Storage | Cloud-based storage solutions such as Google Cloud Storage are ideal for large files including videos, documents, and images. Cloud storage is suitable for content-driven web applications since it offers scalability, durability, and content delivery features. |\n| Event Stream/Event Log Storage | Event stream or event log storage focuses on capturing and storing events or state changes as the primary source of truth within a web application. Event stream storage maintains a chronological record of all actions or events that have occurred over time. This option is useful if using historical data, auditing, and reconstructing past states are necessary. |\n| P2P | Peer-to-peer storage decentralizes data by distributing data across multiple peer nodes connected to a network. Since each peer node contributes storage space, you can retrieve data without relying on a central server or data center. |"]]