IBM DB2 vs MariaDB

Need advice about which tool to choose?Ask the StackShare community!

IBM DB2

243
247
+ 1
19
MariaDB

16K
12.5K
+ 1
468
Add tool

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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

Advice on IBM DB2 and MariaDB
Maxim Ryakhovskiy
Needs advice
on
MariaDBMariaDBMongooseMongoose
and
PostgreSQLPostgreSQL

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.

See more
Replies (7)
Reza Malek
at Meam Software Engineering Group · | 4 upvotes · 219.5K views
Recommends
on
MongooseMongoosePostgreSQLPostgreSQL

Your requirements seem nothing special. on the other hand, MongoDB is commonly used with Node. you could use Mongo without defining a Schema, does it give you any benefits? Also, note that development speed matters. In most cases RDBMS are the best choice, Learn and use Postgres for life!

See more

The use case you are describing would benefit from a self-hosted headless CMS like contentful. You can also go for Strapi with a database of your choice but here you would have to host Strapi and the underlying database (if not using SQLite) yourself. If you want to use Strapi, you can ease your work by using something like PlanetSCaleDB as the backing database for Strapi.

See more
Nutchanon Ninyawee

SQL is not so good at query lat long out of the box. you might need to use additional tools for that like UTM coordinates or Uber's H3.

If you use mongoDB, it support 2d coordinate query out of the box.

See more
Recommends
on
MongooseMongoose

Any database will be a great choice for your app, which is less of a technical challenge and more about great content. Go for it, the geographical search features maybe be actually handy for you.

See more
Tarun Batra
Senior Software Developer at Okta · | 2 upvotes · 211.8K views
Recommends
on
MongooseMongoose

MongoDB and Mongoose are commonly used with Node.js and the use case doesn't seem to be requiring any special considerations as of now. However using MongoDB now will allow you to easily expand and modify your use case in future.

If not MongoDB, then my second choice will be PostgreSQL. It's a generic purpose database with jsonb support (if you need it) and lots of resources online. Nobody was fired for choosing PostgreSQL.

See more
Ruslan Rayanov
Recommends

Hi, Maxim! Most likely, the site is almost ready. But we would like to share our development with you. https://falcon.web-automation.ru/ This is a constructor for web application. With it, you can create almost any site with different roles which have different levels of access to information and different functionality. The platform is managed via sql. knowing sql, you will be able to change the business logic as necessary and during further project maintenance. We will be glad to hear your feedback about the platform.

See more
Václav Hodek
CEO, lead developer at Localazy · | 1 upvotes · 212.2K views
Recommends
on
PostgreSQLPostgreSQL

Any database engine should work well but I vote for Postgres because of PostGIS extension that may be handy for travel related site. There's nothing special about your requirements.

See more
Decisions about IBM DB2 and MariaDB
Omran Jamal
CTO & Co-founder at Bonton Connect · | 4 upvotes · 529.7K views

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)

See more
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of IBM DB2
Pros of MariaDB
  • 7
    Rock solid and very scalable
  • 5
    BLU Analytics is amazingly fast
  • 2
    Native XML support
  • 2
    Secure by default
  • 2
    Easy
  • 1
    Best performance
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup
  • 15
    Easy and fast
  • 14
    Lead developer is "monty" widenius the founder of mysql
  • 6
    Also an aws rds service
  • 4
    Consistent and robust
  • 4
    Learning curve easy
  • 2
    Native JSON Support / Dynamic Columns
  • 1
    Real Multi Threaded queries on a table/db

Sign up to add or upvote prosMake informed product decisions

- No public GitHub repository available -

What is IBM DB2?

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

What is 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.

Need advice about which tool to choose?Ask the StackShare community!

What companies use IBM DB2?
What companies use MariaDB?
See which teams inside your own company are using IBM DB2 or MariaDB.
Sign up for StackShare EnterpriseLearn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with IBM DB2?
What tools integrate with MariaDB?

Sign up to get full access to all the tool integrationsMake informed product decisions

What are some alternatives to IBM DB2 and MariaDB?
Oracle
Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
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.
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.
Microsoft SQL Server
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
See all alternatives