Relational Insights

What is Relational?

Relational refers to the relational model for database management systems (RDBMS). It's a structured way of organizing data into tables (relations) with rows (tuples) and columns (attributes). These tables are linked based on relationships between data values, allowing efficient data retrieval and manipulation using SQL (Structured Query Language). Relational databases are commonly used for managing large amounts of structured data in various applications, including customer relationship management (CRM), enterprise resource planning (ERP), and financial systems.

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What other technologies are related to Relational?

Relational Competitor Technologies

Object-based

Object-based databases offer an alternative data model to relational databases.

mentioned alongside Relational in 72% (75) of relevant job posts

non-relational

Non-relational databases (NoSQL) are alternatives to relational databases.

mentioned alongside Relational in 74% (69) of relevant job posts

Graph

Graph databases provide a different data model and query paradigm compared to relational databases.

mentioned alongside Relational in 10% (335) of relevant job posts

Document

Document databases are a type of NoSQL database, offering a different approach to data storage and retrieval than relational databases.

mentioned alongside Relational in 18% (139) of relevant job posts

Key-Value

Key-value stores are a type of NoSQL database that provides a simple key-value lookup mechanism, differing from the relational model.

mentioned alongside Relational in 18% (65) of relevant job posts

Columnar

Columnar databases store data in columns rather than rows, optimized for analytical queries, and are an alternative to row-oriented relational databases.

mentioned alongside Relational in 18% (64) of relevant job posts

Object

Object databases offer an alternative data model to relational databases.

mentioned alongside Relational in 11% (61) of relevant job posts

NoSQL

NoSQL databases are alternatives to relational databases, designed for different use cases and scalability requirements.

mentioned alongside Relational in 0% (1.3k) of relevant job posts

Relational Complementary Technologies

Dimensional

Dimensional modeling is used in data warehousing, which often complements relational databases by providing a structured environment for analytics.

mentioned alongside Relational in 31% (89) of relevant job posts

Data Lake

Data lakes often complement relational databases by providing a central repository for raw data, which can then be processed and loaded into relational databases for analysis.

mentioned alongside Relational in 1% (164) of relevant job posts

Data Modelling

Data modeling is the process of creating a data model for information systems. This can be complementary as you still need to define how the relational schema will be structured.

mentioned alongside Relational in 1% (56) of relevant job posts