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  1. Stackups
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  4. Databases
  5. PostgreSQL vs SQLite

PostgreSQL vs SQLite

OverviewDecisionsComparisonAlternatives

Overview

PostgreSQL
PostgreSQL
Stacks103.0K
Followers83.9K
Votes3.6K
GitHub Stars19.0K
Forks5.2K
SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535

PostgreSQL vs SQLite: What are the differences?

PostgreSQL is a powerful open-source RDBMS known for its robustness, scalability, and extensive feature set. SQLite, on the other hand, is a lightweight, file-based database engine that emphasizes simplicity, portability, and ease of integration into applications. Let's explore the key differences between PostgreSQL and SQLite:

  1. Scalability and Performance: PostgreSQL is designed for handling large and complex databases, making it suitable for enterprise-level applications with high data volumes and concurrent users. It offers robust performance optimizations, such as query optimization, indexing, and advanced features like parallel query execution. SQLite, on the other hand, is a lightweight database engine that is optimized for embedded and mobile applications. It is not designed for large-scale deployments and may experience performance limitations when dealing with extensive datasets or high-concurrency scenarios.

  2. Features and Functionality: PostgreSQL is a feature-rich RDBMS that supports a wide range of advanced features, including complex queries, stored procedures, triggers, and user-defined functions. It also offers support for various data types, advanced indexing options, and extensive data integrity constraints. SQLite, while being lightweight, provides a basic set of SQL features, suitable for simple data storage and retrieval. It does not offer the same level of advanced functionality as PostgreSQL.

  3. Deployment and Configuration: PostgreSQL is typically deployed as a standalone database server, allowing for client-server architecture and multi-user access. It requires dedicated server resources and involves configuration and administration tasks, such as setting up users and managing access permissions. SQLite, on the other hand, is a self-contained, file-based database that can be embedded within an application without the need for a separate server. It is easier to deploy and does not require complex configuration or management tasks.

  4. Use Cases: PostgreSQL is commonly used for large-scale applications, data warehousing, and complex data analytics. It is suitable for scenarios where data integrity, scalability, and advanced SQL capabilities are crucial. SQLite, on the other hand, is popular for lightweight applications, mobile development, and embedded systems. It is well-suited for scenarios that require a small footprint, simplicity, and portability.

  5. Community and Ecosystem: PostgreSQL has a vibrant and active community with extensive documentation, support resources, and third-party tools and extensions. It has a wide range of integrations, libraries, and frameworks available. SQLite also has a supportive community, but it may not offer the same level of ecosystem and integrations as PostgreSQL.

In summary, PostgreSQL is a robust and feature-rich RDBMS suitable for large-scale applications, while SQLite is a lightweight, embedded database engine suitable for simple use cases.

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Advice on PostgreSQL, SQLite

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k
Comments
George
George

Student

Mar 18, 2020

Needs adviceonPostgreSQLPostgreSQLPythonPythonDjangoDjango

Hello everyone,

Well, I want to build a large-scale project, but I do not know which ORDBMS to choose. The app should handle real-time operations, not chatting, but things like future scheduling or reminders. It should be also really secure, fast and easy to use. And last but not least, should I use them both. I mean PostgreSQL with Python / Django and MongoDB with Node.js? Or would it be better to use PostgreSQL with Node.js?

*The project is going to use React for the front-end and GraphQL is going to be used for the API.

Thank you all. Any answer or advice would be really helpful!

620k views620k
Comments
Navraj
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k
Comments

Detailed Comparison

PostgreSQL
PostgreSQL
SQLite
SQLite

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Statistics
GitHub Stars
19.0K
GitHub Stars
-
GitHub Forks
5.2K
GitHub Forks
-
Stacks
103.0K
Stacks
19.9K
Followers
83.9K
Followers
15.2K
Votes
3.6K
Votes
535
Pros & Cons
Pros
  • 765
    Relational database
  • 511
    High availability
  • 439
    Enterprise class database
  • 383
    Sql
  • 304
    Sql + nosql
Cons
  • 10
    Table/index bloatings
Pros
  • 163
    Lightweight
  • 135
    Portable
  • 122
    Simple
  • 81
    Sql
  • 29
    Preinstalled on iOS and Android
Cons
  • 2
    Not for multi-process of multithreaded apps
  • 1
    Needs different binaries for each platform

What are some alternatives to PostgreSQL, SQLite?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

CouchDB

CouchDB

Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.

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