StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. JSON API vs Oracle PL/SQL

JSON API vs Oracle PL/SQL

OverviewComparisonAlternatives

Overview

Oracle PL/SQL
Oracle PL/SQL
Stacks748
Followers598
Votes8
JSON API
JSON API
Stacks185
Followers197
Votes0

JSON API vs Oracle PL/SQL: What are the differences?

# Introduction

Key differences between JSON API and Oracle PL/SQL:

1. **Data Structure**: JSON API is a data format that uses a lightweight, human-readable format to represent data, whereas Oracle PL/SQL is a procedural extension to SQL that allows for processing complex data manipulation tasks.
2. **Execution Environment**: JSON API is typically used in web applications for data exchange between the client and server, while PL/SQL is executed on the Oracle database server for data manipulation and business logic implementation.
3. **Language Type**: JSON API is a data format that represents data in a hierarchical manner, whereas PL/SQL is a programming language specifically designed for Oracle databases to perform complex queries and transactions.
4. **Flexibility**: JSON API is highly flexible and can be used with various programming languages and platforms, while PL/SQL is specifically tailored for Oracle databases and may not be easily portable to other systems.
5. **Performance**: PL/SQL is optimized for use within the Oracle database environment, providing faster execution times for complex database operations compared to JSON API, which may require additional processing steps to parse and interpret the data.
6. **Error Handling**: PL/SQL includes robust error handling capabilities, allowing developers to catch and manage exceptions within database transactions, while JSON API relies on the underlying programming language or platform for error handling mechanisms.

In Summary, key differences between JSON API and Oracle PL/SQL revolve around their data structure, execution environment, language type, flexibility, performance, and error handling capabilities.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Oracle PL/SQL
Oracle PL/SQL
JSON API
JSON API

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.

It is most widely used data format for data interchange on the web. This data interchange can happen between two computers applications at different geographical locations or running within same hardware machine.

Statistics
Stacks
748
Stacks
185
Followers
598
Followers
197
Votes
8
Votes
0
Pros & Cons
Pros
  • 2
    Multiple ways to accomplish the same end
  • 2
    Powerful
  • 1
    Pl/sql
  • 1
    Massive, continuous investment by Oracle Corp
  • 1
    Extensible to external langiages
Cons
  • 2
    High commercial license cost
No community feedback yet
Integrations
Python
Python
PHP
PHP
.NET
.NET
Node.js
Node.js
Oracle
Oracle
Hadoop
Hadoop
Java
Java
No integrations available

What are some alternatives to Oracle PL/SQL, JSON API?

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.

SQLite

SQLite

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.

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase