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. IBM Informix vs Oracle PL/SQL

IBM Informix vs Oracle PL/SQL

OverviewComparisonAlternatives

Overview

Oracle PL/SQL
Oracle PL/SQL
Stacks749
Followers598
Votes8
IBM Informix
IBM Informix
Stacks17
Followers26
Votes0

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

Key Differences between IBM Informix and Oracle PL/SQL

IBM Informix and Oracle PL/SQL are both popular database management systems used by businesses worldwide. While they share similarities in terms of functionality, there are several key differences that set them apart. Here are six significant differences between IBM Informix and Oracle PL/SQL:

  1. Compatibility: IBM Informix is primarily compatible with UNIX and Linux operating systems, whereas Oracle PL/SQL is compatible with a wider range of operating systems including Windows, UNIX, Linux, and macOS. This difference in compatibility allows organizations to choose the platform that best fits their needs.

  2. Syntax: Informix and PL/SQL have different syntax structures. Informix follows SQL-86 standards and uses a more concise and streamlined syntax, making it easier to write and comprehend queries. On the other hand, PL/SQL follows Oracle's proprietary syntax, which includes additional constructs and features, providing more flexibility and complex functionalities.

  3. Performance: Informix is renowned for its excellent performance in handling high transactional workloads and concurrent users. It utilizes advanced query optimization techniques, leading to faster query execution times. PL/SQL, although powerful, may not provide the same level of performance as Informix in scenarios involving large-scale data processing or complex database operations.

  4. Built-in functionalities: Informix offers a rich set of built-in functionalities, such as spatial and geodetic data support, time-series data management, and replication capabilities. It also includes an extensive range of indexing options, which can enhance query performance significantly. PL/SQL, on the other hand, offers a comprehensive set of tools and features for data manipulation, transaction control, security management, and exception handling.

  5. Vendor support and community: IBM Informix has a dedicated community of users and developers, which provides active support and resources. However, the size of the community is relatively smaller compared to the Oracle PL/SQL community. Oracle, being a market leader, offers extensive support resources, documentation, and frequent updates for PL/SQL, making it easier for organizations to find solutions to their problems.

  6. Cost: The cost of licensing and maintenance differs between IBM Informix and Oracle PL/SQL. Informix often offers a more cost-effective option, especially for smaller businesses or organizations with specific budget considerations. Oracle, on the other hand, is generally more expensive due to its comprehensive set of features and vendor reputation.

In summary, IBM Informix and Oracle PL/SQL differ in terms of compatibility, syntax, performance, built-in functionalities, vendor support, and cost. Understanding these differences can help organizations make informed decisions when choosing a database management system that aligns with their requirements and constraints.

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
IBM Informix
IBM Informix

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 a fast and flexible database with the ability to seamlessly integrate SQL, NoSQL/JSON, and time series and spatial data. Its versatility and ease of use make Informix a preferred solution for a wide range of environments, from enterprise data warehouses to individual application development.

-
Real-time analytics; Fast, always-on transactions; Fewer data management hassles; Simple and non-disruptive
Statistics
Stacks
749
Stacks
17
Followers
598
Followers
26
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
Linux
Linux
macOS
macOS
Windows
Windows

What are some alternatives to Oracle PL/SQL, IBM Informix?

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