Data Storage Options for Content-Driven Web Apps

You can combine data storage technologies depending on the needs of your content-driven web applications. Using SQL for structured data and cloud storage for media files is a common approach to meet diverse data storage needs.

Data storage options and effective modalities include:

Storage Options
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.
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.
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.
CMS Content management systems (CMS) platforms provide built-in content storage, organization, and retrieval capabilities. Examples include WordPress, Drupal, and Joomla.
Search Engines Search functionalities can index and search large volumes of textual content, improving search performance. Examples include Elasticsearch and Solr.
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.
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.
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.