Data Storage Options for Content-Driven Web AppsStay organized with collectionsSave and categorize content based on your preferences.
Page Summary
Content-driven web applications often benefit from combining different data storage technologies to handle diverse data types.
SQL 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.
Key-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.
For enhanced search capabilities, search engines like Elasticsearch can be integrated, and cloud storage services offer scalability and content delivery features for large files.
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 includeWordPress,Drupal, andJoomla.
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-07-10 UTC."],[],["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"]]
