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  5. OData vs Oracle PL/SQL

OData vs Oracle PL/SQL

OverviewComparisonAlternatives

Overview

Oracle PL/SQL
Oracle PL/SQL
Stacks749
Followers598
Votes8
OData
OData
Stacks61
Followers139
Votes35

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

Introduction

In this article, we will discuss the key differences between OData and Oracle PL/SQL. OData is a protocol for building and consuming RESTful APIs, while Oracle PL/SQL is a procedural language extension for SQL used in Oracle databases. While both are used in the context of data manipulation and querying, they have distinct differences that set them apart.

  1. Data Model: OData provides a standardized way to represent a data model, which includes entities, properties, and relationships. It supports a flexible data model with dynamic schema, allowing for easy integration with various data sources. On the other hand, Oracle PL/SQL is tightly coupled with the Oracle database and follows a relational data model based on tables, columns, and constraints.

  2. Language Paradigm: OData is based on a Representational State Transfer (REST) architectural style, making it language-agnostic and platform-independent. It focuses on resource orientation and uses HTTP methods for data manipulation. In contrast, Oracle PL/SQL is a procedural language that extends SQL and is specific to Oracle databases. It enables the execution of procedural code blocks and offers looping, branching, and error handling mechanisms.

  3. Scalability: OData is designed to be scalable and can handle large datasets efficiently. It supports pagination, filtering, and sorting mechanisms, allowing clients to fetch data in a controlled manner. Additionally, it enables server-side processing of queries, minimizing the amount of data transferred over the network. On the other hand, Oracle PL/SQL is optimized for database operations within the Oracle ecosystem and may not scale as well when dealing with large datasets or distributed architectures.

  4. Security: OData provides built-in security mechanisms such as authentication and authorization through standard HTTP protocols. It allows for the integration of various authentication providers and supports role-based access control. In contrast, Oracle PL/SQL relies on the security features provided by the Oracle database, including user management, privileges, and access control lists.

  5. Interoperability: OData promotes interoperability between different systems by providing a uniform way to expose and consume data. It supports multiple data formats like JSON and XML and encourages the use of standard HTTP verbs and error codes. Oracle PL/SQL, on the other hand, is specific to Oracle databases and tightly integrated with the Oracle ecosystem. It may not be as interoperable as OData when it comes to integrating with other systems or databases.

  6. Development Approach: OData follows a code-first approach, where the data model is defined independently of the underlying data source. The data model is then mapped to the actual database schema or other data sources. Oracle PL/SQL, on the other hand, follows a schema-first approach, where the data model is tightly coupled with the database schema. Changes to the data model usually require corresponding modifications to the database schema.

In summary, OData and Oracle PL/SQL differ in their data modeling approach, language paradigm, scalability, security mechanisms, interoperability, and development approach. OData provides a standardized way to represent a flexible data model, is language-agnostic and scalable, and promotes interoperability. On the other hand, Oracle PL/SQL is specific to Oracle databases, follows a relational data model, and is tightly coupled with the Oracle ecosystem.

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Detailed Comparison

Oracle PL/SQL
Oracle PL/SQL
OData
OData

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 an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. It helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query options, etc.

-
OData RESTful APIs are easy to consume; ISO/IEC approved
Statistics
Stacks
749
Stacks
61
Followers
598
Followers
139
Votes
8
Votes
35
Pros & Cons
Pros
  • 2
    Powerful
  • 2
    Multiple ways to accomplish the same end
  • 1
    Pl/sql
  • 1
    Massive, continuous investment by Oracle Corp
  • 1
    Extensible to external langiages
Cons
  • 2
    High commercial license cost
Pros
  • 7
    Patterns for paging, sorting, filtering
  • 5
    ISO Standard
  • 4
    Query Language
  • 3
    No overfetching, no underfetching
  • 3
    RESTful
Cons
  • 1
    Overwhelming, no "baby steps" documentation
Integrations
Python
Python
PHP
PHP
.NET
.NET
Node.js
Node.js
Oracle
Oracle
Hadoop
Hadoop
Java
Java
Python
Python
C++
C++
JavaScript
JavaScript
Visual Studio Code
Visual Studio Code
.NET
.NET
Java
Java

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

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.

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