Overview

IBM DB2

Stacks245

Followers254

Votes19

MariaDB

Stacks16.5K

Followers12.8K

Votes468

GitHub Stars6.6K

Forks1.9K

IBM DB2 vs MariaDB: What are the differences?

Introduction

IBM DB2 and MariaDB are both popular relational database management systems (RDBMS) used by developers and organizations globally. While both databases serve the same purpose of storing and managing data, there are key differences between IBM DB2 and MariaDB that developers should be aware of. This article will outline the primary differences between these two databases.

Cost: One significant difference between IBM DB2 and MariaDB is the cost associated with their usage. IBM DB2 is a commercial database system that requires licensing, and this can lead to higher costs, particularly for larger enterprises or organizations with high data storage and processing needs. In contrast, MariaDB is an open-source database system and is therefore free to use, resulting in potentially lower costs for organizations.
Vendor Support: Another key difference lies in the level of vendor support provided for IBM DB2 and MariaDB. IBM DB2 is developed and maintained by IBM, a multinational technology company known for its comprehensive support network. This means that users of IBM DB2 can access extensive documentation, support forums, and professional services from IBM. On the other hand, MariaDB is an open-source project, and while it has a community of users and developers who provide support, it may not offer the same level of vendor-backed support as IBM DB2.
Scalability and Performance: Scalability and performance capabilities differ between IBM DB2 and MariaDB. IBM DB2 is known for its robust scalability features, allowing it to handle large amounts of data and high transaction volumes efficiently. It also offers advanced performance tuning options, making it suitable for demanding applications. MariaDB, although capable of handling moderate workloads effectively, may not provide the same level of scalability and performance as IBM DB2, particularly for high-volume or high-velocity data requirements.
Feature Set: When comparing the feature sets of IBM DB2 and MariaDB, there are some notable differences. IBM DB2 offers advanced features such as embedded SQL, row-level security, and support for various data types. It also provides capabilities for data warehousing, analytics, and integration with other IBM products. MariaDB, being an open-source database, may have a more limited set of features, although it still provides essential functionalities required for typical database applications.
Compatibility: IBM DB2 and MariaDB may differ in terms of compatibility with other database systems. IBM DB2 is designed primarily to work within the IBM ecosystem and is often used alongside other IBM solutions. It may have better compatibility with other IBM products and technologies. On the other hand, MariaDB, being based on MySQL, shares a significant degree of compatibility with MySQL databases. This means that applications developed for MySQL can typically be easily migrated to MariaDB without significant modifications.
Community and Ecosystem: The community and ecosystem surrounding IBM DB2 and MariaDB differ in terms of size, support, and available resources. As an established commercial database system, IBM DB2 has a robust community of users and developers, with extensive resources and support channels readily available. MariaDB, as an open-source project, also has a dedicated community that contributes to its development and provides support. However, the size and breadth of the community may be relatively smaller compared to IBM DB2.

In summary, IBM DB2 is a commercial database system with higher costs but comprehensive vendor support, advanced scalability, and performance features, and broader integration with other IBM products. MariaDB, as an open-source solution, offers free usage, a more limited feature set, and compatibility with MySQL, while still providing essential database functionalities.

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Advice on IBM DB2, MariaDB

Maxim

student at USI

Aug 25, 2020

Needs adviceon

Node.js

Mongoose

PostgreSQL

Hi all. I am an informatics student, and I need to realise a simple website for my friend. I am planning to realise the website using Node.js and Mongoose, since I have already done a project using these technologies. I also know SQL, and I have used PostgreSQL and MySQL previously.

The website will show a possible travel destination and local transportation. The database is used to store information about traveling, so only admin will manage the content (especially photos). While clients will see the content uploaded by the admin. I am planning to use Mongoose because it is very simple and efficient for this project. Please give me your opinion about this choice.

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Comments

Omran

CTO & Co-founder at Bonton Connect

Jun 19, 2020

Needs advice

We actually use both Mongo and SQL databases in production. Mongo excels in both speed and developer friendliness when it comes to geospatial data and queries on the geospatial data, but we also like ACID compliance hence most of our other data (except on-site logs) are stored in a SQL Database (MariaDB for now)

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Comments

Detailed Comparison

IBM DB2	MariaDB
DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.	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.
-	Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
Statistics
GitHub Stars -	GitHub Stars 6.6K
GitHub Forks -	GitHub Forks 1.9K
Stacks 245	Stacks 16.5K
Followers 254	Followers 12.8K
Votes 19	Votes 468
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 149 Drop-in mysql replacement 100 Great performance 74 Open source 55 Free 44 Easy setup
Integrations
Node.js JavaScript PHP Ruby Java Python C# .NET C++ Perl	No integrations available

What are some alternatives to IBM DB2, MariaDB?

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

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 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 is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

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

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 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.

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

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 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.