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  5. IBM DB2 vs Oracle PL/SQL

IBM DB2 vs Oracle PL/SQL

OverviewComparisonAlternatives

Overview

IBM DB2
IBM DB2
Stacks245
Followers254
Votes19
Oracle PL/SQL
Oracle PL/SQL
Stacks749
Followers598
Votes8

IBM DB2 vs Oracle PL/SQL: What are the differences?

Key Differences Between IBM DB2 and Oracle PL/SQL

IBM DB2 and Oracle PL/SQL are two popular database management systems used in various industries. While they share some similarities, there are key differences that set them apart. The following paragraphs highlight these differences in detail.

1. Syntax and Language: One significant difference between IBM DB2 and Oracle PL/SQL is the syntax and language used. IBM DB2 uses SQL as the primary language for querying and manipulating data, while Oracle PL/SQL is a procedural language that extends SQL. This means that while IBM DB2 focuses on structured query language, Oracle PL/SQL provides additional programming capabilities, allowing developers to write more complex and sophisticated code.

2. Portability: Another notable difference lies in the portability of the two systems. Oracle PL/SQL runs only on Oracle databases, restricting its usage to these specific environments. On the other hand, IBM DB2 is designed to be more portable and can run on a variety of platforms, including Windows, Linux, Unix, and z/OS. This makes IBM DB2 a more flexible choice for organizations with diverse infrastructure.

3. Scalability and Performance: When it comes to scalability and performance, IBM DB2 has an advantage over Oracle PL/SQL. IBM DB2 is known for its exceptional performance and scalability, allowing it to handle large volumes of data and high transaction loads efficiently. Oracle PL/SQL, while capable, may face limitations in scaling when dealing with extremely large datasets or high transaction volumes.

4. Data Types and Structures: IBM DB2 and Oracle PL/SQL differ in their supported data types and structures. IBM DB2 offers a broader range of data types and more advanced data structures, such as arrays and XML. In contrast, Oracle PL/SQL has a more limited set of data types and structures, although it provides an extensive set of built-in functions and packages.

5. Licensing and Cost: The licensing and cost models for IBM DB2 and Oracle PL/SQL vary. IBM DB2 offers various licensing options, including perpetual licenses, subscription licenses, and even free editions for smaller-scale applications. Oracle PL/SQL, on the other hand, typically operates on a per-core licensing model, which can significantly impact the overall cost depending on the organization's needs and infrastructure.

6. Community and Support: The community and support offerings for IBM DB2 and Oracle PL/SQL differ as well. Oracle PL/SQL has a larger and more active community of users and developers, providing a wealth of resources, forums, and online assistance. IBM DB2, while also offering support options, may have a comparatively smaller community, making it potentially more challenging to find specific solutions or insights.

In summary, IBM DB2 and Oracle PL/SQL differ in terms of syntax and language, portability, scalability and performance, data types and structures, licensing and cost, as well as community and support offerings. The choice between the two depends on the specific requirements and priorities of the organization.

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Detailed Comparison

IBM DB2
IBM DB2
Oracle PL/SQL
Oracle PL/SQL

DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.

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
245
Stacks
749
Followers
254
Followers
598
Votes
19
Votes
8
Pros & Cons
Pros
  • 7
    Rock solid and very scalable
  • 5
    BLU Analytics is amazingly fast
  • 2
    Native XML support
  • 2
    Secure by default
  • 2
    Easy
Pros
  • 2
    Powerful
  • 2
    Multiple ways to accomplish the same end
  • 1
    Pl/sql
  • 1
    Not mysql
  • 1
    Massive, continuous investment by Oracle Corp
Cons
  • 2
    High commercial license cost
Integrations
Node.js
Node.js
JavaScript
JavaScript
PHP
PHP
Ruby
Ruby
Java
Java
Python
Python
C#
C#
.NET
.NET
C++
C++
Perl
Perl
Python
Python
PHP
PHP
.NET
.NET
Node.js
Node.js
Oracle
Oracle
Hadoop
Hadoop
Java
Java

What are some alternatives to IBM DB2, 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.

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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