Data Storage Options for Content-Driven Web Apps
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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:
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.
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Last updated 2024-07-10 UTC.
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