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  1. Stackups
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  5. Azure SQL Database vs Oracle PL/SQL

Azure SQL Database vs Oracle PL/SQL

OverviewComparisonAlternatives

Overview

Azure SQL Database
Azure SQL Database
Stacks585
Followers502
Votes13
Oracle PL/SQL
Oracle PL/SQL
Stacks748
Followers598
Votes8

Azure SQL Database vs Oracle PL/SQL: What are the differences?

Introduction:

When comparing Azure SQL Database to Oracle PL/SQL, there are some key differences that set these two database management systems apart. Below are six specific differences to consider when choosing between Azure SQL Database and Oracle PL/SQL for your organization's needs.

1. Scalability: Azure SQL Database offers elastic scalability, allowing users to easily adjust performance levels based on changing demands. On the other hand, Oracle PL/SQL depends on manual scalability adjustments, which can be cumbersome and time-consuming for administrators.

2. Cloud vs. On-Premise: Azure SQL Database is a cloud-based solution, offering advantages such as automatic updates, built-in disaster recovery, and reduced infrastructure costs. In contrast, Oracle PL/SQL is traditionally deployed on-premises, requiring more manual maintenance and potentially higher costs for hardware and software licenses.

3. Pricing Model: Azure SQL Database offers a pay-as-you-go pricing model, where users only pay for what they use. Oracle PL/SQL, on the other hand, typically involves upfront licensing fees and ongoing maintenance costs, which may not be as flexible or cost-effective for some organizations.

4. Development Environment: Azure SQL Database is integrated with Microsoft's suite of development tools, making it easier for developers who are already familiar with these tools to work with the database. Oracle PL/SQL, on the other hand, has its own development environment that may require additional training for developers not already familiar with Oracle technologies.

5. ACID Compliance: Azure SQL Database ensures ACID (Atomicity, Consistency, Isolation, Durability) compliance for transactions, providing robust data integrity and reliability. While Oracle PL/SQL also supports ACID properties, the level of compliance may vary depending on the configuration and usage of the database.

6. Support and Community: Azure SQL Database benefits from Microsoft's extensive support resources and a large user community, making it easier to find help and resources when needed. Oracle PL/SQL also has a strong user community and support network, but as a proprietary technology, it may require additional support contracts for certain types of assistance.

In Summary, when choosing between Azure SQL Database and Oracle PL/SQL, consider factors such as scalability, cloud vs. on-premise deployment, pricing models, development environments, ACID compliance, and support resources to determine which solution best fits your organization's needs.

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Detailed Comparison

Azure SQL Database
Azure SQL Database
Oracle PL/SQL
Oracle PL/SQL

It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.

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
585
Stacks
748
Followers
502
Followers
598
Votes
13
Votes
8
Pros & Cons
Pros
  • 6
    Managed
  • 4
    Secure
  • 3
    Scalable
Pros
  • 2
    Powerful
  • 2
    Multiple ways to accomplish the same end
  • 1
    Massive, continuous investment by Oracle Corp
  • 1
    Pl/sql
  • 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 Azure SQL Database, 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.

Amazon RDS

Amazon RDS

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

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.

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