Difference between SQLite and PostgreSQL

1. SQLite : SQLite is a software library that provides relational database management system (RDBMS). It was designed by D. Richard Hipp on August 2000. The design goals of SQLite were to allow the program to be operated without installing a database management system (DBMS) or requiring a database administrator. Some of the features of MySQL are –

• High-reliability
• Embedded
• Transactions follow ACID properties

2. PostgreSQL : It a powerful, open-source Object-relational database system. It provides good performance with low maintenance efforts because of its high stability. PostgreSQL was the first DBMS that implemented multi-version concurrency control (MVCC) feature. Some of the highlights of PostgreSQL are –

• Support for vast amount of languages
• It process advanced Security features
• It has geo-tagging support

Difference between SQLite and PostgreSQL :

S.NO.	SQLITE	POSTGRESQL
1.	Developed by D. Richard Hipp on August 2000.	Developed By PostgreSQL Global Development Group on 1989.
2.	It is widely used in-process RDBMS.	It is widely used open source RDBMS.
3.	Implementation language is C.	Implementation language is C.
4.	It has no Secondary database models	It has Document store as Secondary database models
5.	It does not supports XML format.	It supports XML format.
6.	SQLite does not require a server to run. Hence, it is serverless.	Server operating systems for PostgreSQL are FreeBSD, Linux, OS X, Solaris and Windows.
7.	It does not support Server-side scripting	It has user defined functions for Server-side scripts
8.	It does not support any replication methods.	It support only one replication methods Master-master replication.
9.	It does not support any Partitioning methods.	In PostgreSQL, partitioning can be done by range, list and hash.
10.	It supports in-memory capabilities.	It does not supports in-memory capabilities.
11.	SQLite provides ACID transactions.	PostgreSQL also provides ACID transactions.
12.	Each database is a file, so databases are mostly isolated from one another.	Databases are logical, so you can create as many as you like on a single PostgreSQL server.

SQLite and PostgreSQL are two different types of relational database management systems with different architectures and use cases. The main differences between the two are summarized below:

1. Architecture:
   SQLite is a serverless database management system that can be embedded directly into an application, while PostgreSQL is a client-server database management system that requires a separate server process to be running on the machine to handle database requests.
2. Scalability:
   SQLite is designed for single-machine use and is not suitable for large-scale deployments or high-traffic applications. PostgreSQL, on the other hand, is designed to scale horizontally and vertically, meaning that it can handle large amounts of data and traffic by adding more servers to a cluster and also by increasing the resources of a single server.
3. Data Types:
   PostgreSQL supports a wider range of data types, including arrays, hstore, and json, while SQLite has a limited set of data types.
4. SQL Compliance:
   Both SQLite and PostgreSQL are SQL-compliant, but PostgreSQL supports a wider range of SQL commands and features, making it more suitable for complex queries and large data sets.
5. ACID Compliance:
   Both SQLite and PostgreSQL are ACID-compliant, which means they ensure data integrity and consistency in transactions. However, PostgreSQL supports more complex transactions and provides a more robust concurrency model.
6. Licensing:
   SQLite is in the public domain and can be used without any licensing restrictions, while PostgreSQL is licensed under the PostgreSQL License, which is a liberal open-source license.

In summary, SQLite and PostgreSQL are two different types of relational database management systems with different architectures and use cases. SQLite is a lightweight, serverless database designed for small-scale applications that require simplicity and ease of use, while PostgreSQL is a powerful client-server database designed for high-performance, large-scale deployments that require complex queries and data types.