Category: Database Concepts

RDBMS vs DBMS – What’s the Difference?

Posted on by Ian

There’s a lot of confusion regarding the difference between an RDBMSs and a DBMS. I’ve even seen “RDBMS vs DBMS” forum posts where the accepted answer outlines the differences between RDBMSs and DBMSs, as though they were two distinct and different things.

However, this can be misleading.

The fact is, an RDBMS is a DBMS. But a DBMS is not always an RDBMS (but it often is).

So, is there a difference between an RDBMS and a DBMS or not? Is “RDBMS vs DBMS” the right way of looking at it, or is there more to it?

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What is a Document Store Database?

Posted on by Ian

A document store database (also known as a document-oriented database, aggregate database, or simply document store or document database) is a database that uses a document-oriented model to store data.

Document store databases store each record and its associated data within a single document. Each document contains semi-structured data that can be queried against using various query and analytics tools of the DBMS.

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What is a Key-Value Database?

Posted on by Ian

A key-value database (also known as a key-value store and key-value store database) is a type of NoSQL database that uses a simple key/value method to store data.

The key-value part refers to the fact that the database stores data as a collection of key/value pairs. This is a simple method of storing data, and it is known to scale well.

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What is NoSQL?

Posted on by Ian

NoSQL is a term that refers loosely to a particular type of database model, or database management system (DBMS).

NoSQL is a very broad term that doesn’t refer to one particular database model. Rather, it refers to a whole variety of different models that don’t fit into the relational model.

Although NoSQL databases have been around since the 1960s, it wasn’t until the early 2000s that the NoSQL approach started to pick up steam, and a whole new generation of NoSQL systems began to hit the market.

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What does ACID mean in Database Systems?

Posted on by Ian

In database systems, ACID (Atomicity, Consistency, Isolation, Durability) refers to a standard set of properties that guarantee database transactions are processed reliably.

ACID is especially concerned with how a database recovers from any failure that might occur while processing a transaction.

An ACID-compliant DBMS ensures that the data in the database remains accurate and consistent despite any such failures.

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What’s the Difference between a Graph Database and a Relational Database?

Posted on by Ian

Graph databases have been gaining popularity over recent years as a viable alternative to the relational model. Graph databases are particularly well suited to storing connected data – data with lots of interconnected relationships, especially those that run many levels deep.

This article looks at the main differences between graph databases and relational databases.

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What is a Graph Database?

Posted on by Ian

A graph database is a database that uses a graphical model to represent and store the data.

The graph database model is an alternative to the relational model.

In a relational database, data is stored in tables using a rigid structure with a predefined schema.

In a graph database, there is no predefined schema as such. Rather, any schema is simply a reflection of the data that has been entered. As more varied data is entered, the schema grows accordingly.

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