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  1. Stackups
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  4. Databases
  5. Oracle PL/SQL vs SQLite

Oracle PL/SQL vs SQLite

OverviewDecisionsComparisonAlternatives

Overview

SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535
Oracle PL/SQL
Oracle PL/SQL
Stacks748
Followers598
Votes8

Oracle PL/SQL vs SQLite: What are the differences?

Introduction

Oracle PL/SQL and SQLite are both popular database management systems, but they have key differences that set them apart. In this article, we will explore these differences in detail.

  1. Integration with Oracle Database vs. Standalone Database:

    • Oracle PL/SQL is specifically designed to work seamlessly with Oracle Database. It is fully integrated into the Oracle Database architecture, allowing for optimized performance and advanced features.
    • On the other hand, SQLite is a standalone database engine that does not require any external dependencies. It is designed for embedded systems and lightweight applications, offering simplicity and ease of use.
  2. Language Syntax:

    • Oracle PL/SQL uses a procedural programming language that combines SQL statements with procedural constructs. It allows for complex business logic implementation, offering rich procedural capabilities and control structures.
    • SQLite, on the other hand, uses a minimalist SQL-based language. It offers a subset of SQL functionality without advanced procedural constructs. While it may be less powerful in terms of procedural capabilities, it provides simplicity and ease of use.
  3. Transaction Management:

    • Oracle PL/SQL provides advanced transaction management features. It supports the ACID (Atomicity, Consistency, Isolation, Durability) properties of transactions, allowing for robust and reliable data operations. It also offers fine-grained control over transaction boundaries.
    • SQLite, on the other hand, does not offer as advanced transaction management capabilities. It supports the ACID properties but has limited support for transaction control. It mainly focuses on simplicity and performance for single-user scenarios.
  4. Scalability and Concurrency:

    • Oracle PL/SQL is designed to handle high scalability and concurrent user access. It supports a wide range of multi-user scenarios, allowing for efficient resource management and isolation levels. It offers features like parallel processing and advanced caching mechanisms.
    • SQLite, on the other hand, is optimized for single-user scenarios or lightweight applications with low concurrency demands. It may not offer the same level of scalability and performance in highly concurrent environments.
  5. Deployment and Licensing:

    • Oracle PL/SQL requires a separate Oracle Database installation, which may involve additional licensing and infrastructure costs. It is typically used in enterprise environments where the full Oracle Database stack is employed.
    • SQLite, on the other hand, is a self-contained database engine that does not require a separate installation or licensing. It is open-source and free to use, making it a popular choice for small-scale projects or applications with budget constraints.
  6. Community and Ecosystem:

    • Oracle PL/SQL benefits from a large and active community of developers and users. It has a wide range of resources, documentation, and support available. It also offers various tools and frameworks that enhance the development experience.
    • SQLite has a thriving community as well, but it may not be as extensive as Oracle PL/SQL. However, it offers simplicity and ease of integration with different programming languages, making it a versatile choice for developers.

In summary, Oracle PL/SQL and SQLite differ in terms of their integration with databases, language syntax, transaction management, scalability, deployment considerations, and community support.

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Advice on SQLite, Oracle PL/SQL

Anonymous
Anonymous

Oct 29, 2019

Needs advice

Hi everyone! I am a high school student, starting a massive project. I'm building a system for a boarding school to be better connected to their students and be more efficient with information. In the meantime, I am developing a website and an android app. What's the best datastore I can use? I need to be able to access student data on the app from the main database and send push notifications. Also feed updates. What's the best approach? What's the best tool I can use to deploy the website and the database? One for testing and prototyping, and an official one... Thanks in advance!!!!

366k views366k
Comments

Detailed Comparison

SQLite
SQLite
Oracle PL/SQL
Oracle PL/SQL

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.

It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.

Statistics
Stacks
19.9K
Stacks
748
Followers
15.2K
Followers
598
Votes
535
Votes
8
Pros & Cons
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
Pros
  • 2
    Multiple ways to accomplish the same end
  • 2
    Powerful
  • 1
    Not mysql
  • 1
    Massive, continuous investment by Oracle Corp
  • 1
    Extensible to external langiages
Cons
  • 2
    High commercial license cost
Integrations
No integrations available
Python
Python
PHP
PHP
.NET
.NET
Node.js
Node.js
Oracle
Oracle
Hadoop
Hadoop
Java
Java

What are some alternatives to SQLite, Oracle PL/SQL?

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.

PostgreSQL

PostgreSQL

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.

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.

GraphQL

GraphQL

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

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.

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