A geodatabase is a relational database that keeps track of geographic information.
A geodatabase is, at its most basic level, a container for storing geographic and attribute data, as well as the connections that exist between them. Features and their associated characteristics can be organised in a geodatabase, which is a vector data format, to function together as an integrated system utilizing rules, relationships, and topological correlations. In other words, the geodatabase enables you to simulate the real world as simply or as intricately as your requirements require.
The basic menus and tools in ArcCatalogTM and ArcMapTM are used to create, update, and maintain geodatabases.
A geodatabase is a database that is used to store, query, and alter geographical and geographic data. A spatial database is another name for it.
Geodatabases are divided into two categories:
Feature classes, feature datasets, and nonspatial tables are the three main components of a geodatabase. A feature class is a group of features with similar geometry (point, line, or polygon) and spatial reference.
Geodatabases may be classified into three groups:
A) File geodatabases:- Stored on a file system as folders. Each dataset is stored as a file with a maximum size of 1 TB. Personal geodatabases are preferred over file geodatabases.
A file system folder containing a collection of several sorts of GIS datasets.
Many readers or one writer per feature dataset, stand-alone feature class, or table for single users and small workgroups. For a large number of readers, concurrent consumption of any given file gradually diminishes.
B) Personal geodatabases—All datasets are included in a Microsoft Access data file that is restricted to 2 GB in size.
ArcGIS geodatabases are saved and handled as Microsoft Access data files in their original format.
Small workgroups with fewer datasets and a single user: some readers and one writer For big groups of readers, concurrent utilization gradually diminishes.
C) Enterprise geodatabases:- Also known as multiuser geodatabases, may be as large as you want them to be and have an infinite number of users. Oracle, Microsoft SQL Server, IBM Db2, IBM Informix, or PostgreSQL are all examples of relational databases.
A relational database with tables containing several sorts of GIS datasets.
Multiuser: a large number of readers and authors