Difference Between LDAP and Database (With Table)

An LDAP is an Internet Protocol Suite, a set of communication protocols that are used on the Internet. A Database is a structured set of data that is fed into a computer, which can be accessed. And the data is accessible in various ways. Both the terms are computing terms.

LDAP vs Database

The main difference between LDAP and Database is that LDAP is an application protocol that modifies data by using directory services over Internet protocols while on the other hand a database is a collection of data stores and accessed electronically. A database is simply a data collection.

LDAP (Lightweight Directory Access Protocol) is an open as well as a closed platform. It is an application protocol, which access, manage, and maintains a distributed directory information services. It also allows the querying of data. Basically, an LDAP is a place to store information like usernames and passwords. LDAP is also known as X.500-lite.

A database is an organized collection of data. It allows the user to access and store data. Loosely, the term database is used to refer to DBMS or any application related to the database. Databases are usually organized in a tabular form. This structured set of data is accessible in many ways. A database has a complex structure.

Comparison Table Between LDAP And Database

Parameters of Comparison

LDAP

Database

Definition

An application protocol that accesses and maintains a distributed directory information service

A database is an organized data, in a tabular form that can be accessed and managed.

Data sharing

LDAP is designed for sharing data.

A database is designed for one application only

Extensibility

LDAP schemas can be changed easily.

It’s difficult to change schemas in a database.

Replication

LDAP data can be stored in multiple places.

In a database, a particular fragment is stored at one site only.

Non-hierarchical relationships between objects.

In LDAP, it is difficult to represent a non-hierarchical relationship.

A database can efficiently support a complex relationship.

What is LDAP?

LDAP stands for Lightweight Directory Access Protocol. LDAP is an application protocol. This protocol access and maintains a distributed directory information services, by using directory services. The directory services allow to share and store information about users, systems, applications, networks, and services.

LDAP is used to access the data which is stored already, it is like an identity store. It also allows the querying of data. Basically, an LDAP is a central place to store usernames and passwords. To validate users, this allows different types of applications and services to connect to the LDAP server.

An LDAP session is prompted or activated by a user. A user can simply connect to an LDAP server which is typically known as the Directory System Agent (or DSA). Once it is connected the user sends the request to the server and in return, the server will send a response or number of responses. The requests can be adding a new entry, modify an entry, Abort a previous request, Start TLS, Bind and Unbind, etc. BER is used to transmit all the information.

LDAP is also known as X.500-lite because it is based on a simple subset of standards consisting of X.500 standard. An LDAP server also has the feature to return the referrals to other servers for the requests that it cannot fulfill itself.

What is Database?

The database is a collection that is used to store data. A database is organized data. This data can also be accessed electronically from a computer system. The database is developed by using formal designs and modeling techniques. They are complex but are designed formally.

A Database management system (DBMS) is used to capture and analyze the data of a database and to interact with the end-users. Loosely, the term database is used to refer to DBMS or any application related to the database. A database can be organized by classifying it by terms like Examples, bibliographic, full text, numeric, or image, etc. Another way is to classify them according to an examination of database models or database architectures.

Databases use a combination of strategies to function and their programs are designed in a way to give the users the ability to add, delete or re-edit any information necessary. Databases are usually organized in a tabular form. A database has special-purpose language which allows the user to use one or more tasks. A singular

Databases use a combination of strategies to function and their programs are designed in a way to give the users the ability to add, delete or re-edit any information necessary. Databases are usually organized in a tabular form. A database has special-purpose language which allows the user to use one or more tasks. A singular Database language is specific to a particular data model.

Main Differences Between LDAP And Database

  1. LDAP is an internet protocol suite, application protocol, which is used for directory services authentication. A database is an organized collection of data to store, access, and manage data.
  2. LDAP is designed for sharing data while a database is designed for one application only.
  3. LDAP schemas are more easily changed than that of a database.
  4. LDAP servers can easily configure replication technology while it is not easy for a database.
  5. LDAP directories are highly distributed, while on other hand the relational databases are centralized.

Conclusion

LDAP is an application protocol that modifies data. LDAP uses directory services. It also allows the querying of data. Basically, an LDAP is a place to store information like usernames and passwords. To validate users, this allows different types of applications and services to connect to the LDAP server.

On the other side, a database is a collection of organized data mostly in tabular form. The term database is used to refer to DBMS or any application related to the database. A database is typically organized by classifying it into Examples, bibliographic, images, etc. And a database language is specific to a particular data model.

References

  1. https://ieeexplore.ieee.org/abstract/document/1336746/
  2. https://link.springer.com/chapter/10.1007/3-540-45432-2_11
  3. https://ieeexplore.ieee.org/iel4/90/11235/x0053057.pdf