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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. IBM Informix vs MySQL

IBM Informix vs MySQL

OverviewDecisionsComparisonAlternatives

Overview

MySQL
MySQL
Stacks129.6K
Followers108.6K
Votes3.8K
GitHub Stars11.8K
Forks4.1K
IBM Informix
IBM Informix
Stacks17
Followers26
Votes0

IBM Informix vs MySQL: What are the differences?

Introduction

In this markdown, we will compare and provide key differences between IBM Informix and MySQL for website use.

  1. Storage Engine: The first major difference between IBM Informix and MySQL is their default storage engines. IBM Informix uses a storage engine called IDS (Informix Dynamic Server), which is optimized for online transaction processing (OLTP) workloads. On the other hand, MySQL supports multiple storage engines including InnoDB, MyISAM, and more. InnoDB, the default engine for MySQL, offers features like support for transactions, foreign keys, and row-level locking, making it suitable for both OLTP and OLAP workloads.

  2. Data Replication: Another important difference is in their data replication capabilities. IBM Informix provides a built-in high-availability and disaster recovery solution called HDR (High Availability Data Replication), which allows for automatic failover and replication of data across multiple replicas. MySQL, on the other hand, offers various replication mechanisms such as master-slave replication and group replication. These replication methods provide a means to replicate data but do not offer the same level of built-in high availability as IBM Informix's HDR.

  3. Data Partitioning: IBM Informix and MySQL also differ in their approach to data partitioning. Informix provides a built-in feature called Fragmentation, which allows for distributing data across multiple physical or logical data containers for enhanced performance and manageability. MySQL, on the other hand, offers table partitioning, which allows for dividing a table into smaller, more manageable partitions based on specific criteria such as range, list, or hash. Both approaches have their own benefits and considerations, depending on the specific use case.

  4. SQL Syntax: When it comes to SQL syntax, IBM Informix and MySQL also display some differences. Informix is known for its non-standard SQL syntax and extends the standard SQL with additional features and functionalities. MySQL, on the other hand, follows the SQL standard more closely, although it does offer some proprietary extensions as well. Developers familiar with standard SQL might need to adapt their queries and syntax when switching between Informix and MySQL.

  5. Transaction Isolation Levels: The isolation levels offered by IBM Informix and MySQL also differ. Informix supports the default SQL isolation levels like Read Committed and Repeatable Read but also provides an additional isolation level called Serializable, which guarantees that concurrent transactions do not affect each other's results. MySQL, on the other hand, supports the standard SQL isolation levels but does not offer the Serializable level. The choice of isolation level depends on the specific requirements of the application and the degree of transaction concurrency.

  6. Database Administration Tools: Lastly, there are differences in the database administration tools available for IBM Informix and MySQL. Informix provides a comprehensive set of tools like Informix Server Administrator (ISA), Informix Command Line (SQL), and Informix Storage Manager (ISM), which provide options for managing and monitoring the Informix database environment. MySQL, on the other hand, offers tools like MySQL Workbench and the MySQL command line client for database administration tasks. These tools provide functionality for tasks such as schema management, performance tuning, and monitoring for MySQL databases.

In summary, IBM Informix differs from MySQL in terms of storage engine options, data replication capabilities, data partitioning methods, SQL syntax, transaction isolation levels, and the database administration tools available.

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Advice on MySQL, IBM Informix

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k
Comments
Ido
Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k
Comments
Navraj
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k
Comments

Detailed Comparison

MySQL
MySQL
IBM Informix
IBM Informix

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.

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
GitHub Stars
11.8K
GitHub Stars
-
GitHub Forks
4.1K
GitHub Forks
-
Stacks
129.6K
Stacks
17
Followers
108.6K
Followers
26
Votes
3.8K
Votes
0
Pros & Cons
Pros
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 490
    Open source
Cons
  • 16
    Owned by a company with their own agenda
  • 3
    Can't roll back schema changes
No community feedback yet
Integrations
No integrations available
Linux
Linux
macOS
macOS
Windows
Windows

What are some alternatives to MySQL, 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.

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.

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.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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