What is the difference between warehouse and database

The database is a transaction-oriented design, and the data warehouse is a subject-oriented design. The database generally stores business data, and the data warehouse generally stores historical data.

The database design is to avoid redundancy as much as possible. It is generally designed for a certain business application. For example, a simple User table can record simple data such as user names and passwords. It meets business applications but does not meet analysis. The design of the data warehouse deliberately introduces redundancy.

According to the analysis requirements, the analysis dimensions and analysis indicators are designed. Database Gateway Database Gateway is a database connection service that supports remote access to private network databases.

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Data from various sources are collected in to a single place, this place is the database. The data is organized into a structure of some sort, mainly according to a database model. The most commonly used database model is the relational model, others include hierarchical model, network model, etc. In order to retrieve data from a database, one has to use a database management system DBMS. The database management systems are designed applications that interact with the user, other applications, and the database itself to capture and analyze data.

The DBMS is designed to allow the definition, creation, querying, update, and administration of databases. While, a database and a data warehouse may seem the same, they are actually different is a key aspect. A database is used to store data while a data warehouse is mostly used to facilitate reporting and analysis. Basically, database is just where the data is stored; in order to access this data or analyze it a database management system is required.

However, a data warehouse does not necessarily require a DBMS. The purpose of a data warehouse is for easy access to the data for a user. A database is an organized collection of information stored in a way that makes logical sense and that facilitates easier search, retrieval, manipulation, and analysis of data.

Perhaps the most common way of classifying databases is SQL vs. NoSQL also known as relational vs. A SQL or relational database organizes information within formal tables that codify relationships between different pieces of data.

Each table contains columns and rows, similar to the structure of a spreadsheet in Microsoft Excel. In order to search through a relational database, users write queries in Structured Query Language SQL , a domain-specific language for communicating with databases.

On the other hand, a NoSQL or non-relational database uses any paradigm for storing data that falls outside the relational table-based data model. Some common types of NoSQL databases are key-value, document-based, column-based, and graph-based stores. In terms of the SQL vs. NoSQL question, both approaches have their pros and cons. SQL databases tend to be easier to vertically scale by adding more resources , while NoSQL databases tend to be easier to horizontally scale by adding more machines.

The use of SQL to write queries can be a major advantage for performance and ease of use, but relational databases are also less flexible and more rigid in terms of the data hierarchy. A data warehouse is a system that aggregates and stores information from a variety of disparate sources within an organization. The goal of a data warehouse is explicitly business-oriented: it is designed to facilitate decision-making by allowing end-users to consolidate and analyze information from different sources.

The main difference is that databases are organized collections of stored data.