IBM DB2 vs Microsoft SQL Server vs MySQL

Overview

MySQL

Stacks129.6K

Followers108.6K

Votes3.8K

GitHub Stars11.8K

Forks4.1K

Microsoft SQL Server

Stacks21.3K

Followers15.5K

Votes540

IBM DB2

Stacks245

Followers254

Votes19

IBM DB2 vs Microsoft SQL Server vs MySQL: What are the differences?

Key Differences between IBM DB2, Microsoft SQL Server, and MySQL

1. Data Types and Features: IBM DB2 offers a wide range of complex data types and advanced features which are more extensive compared to Microsoft SQL Server and MySQL, making it suitable for enterprise-level applications requiring intricate data handling.

2. Licensing Cost and Support: Microsoft SQL Server is known for its licensing cost, which could be higher compared to MySQL, which is open-source, and IBM DB2 which offers a range of editions with varying costs. Additionally, Microsoft SQL Server provides robust support services while MySQL relies heavily on community support.

3. Scalability and Performance: IBM DB2 boasts superior scalability and performance optimization, making it a preferred choice for large-scale applications handling massive datasets. Microsoft SQL Server and MySQL are also scalable but may require additional configuration for high-performance requirements.

4. Platform Support: Microsoft SQL Server primarily runs on Windows-based systems, while MySQL and IBM DB2 offer cross-platform support, including Linux and UNIX, providing flexibility in deployment environments.

5. Integration and Ecosystem: Microsoft SQL Server seamlessly integrates with other Microsoft products like Azure, providing a comprehensive ecosystem for development and deployment. MySQL, being open-source, has a wide range of third-party tools and community support, while IBM DB2 offers integration with IBM's larger suite of enterprise solutions.

6. Security and Compliance Features: IBM DB2 is known for its robust security features and compliance standards, making it a top choice for industries with stringent data regulations. Microsoft SQL Server and MySQL also offer security features but may require additional configurations for enterprise-level compliance requirements.

In Summary, the key differences between IBM DB2, Microsoft SQL Server, and MySQL lie in the data types and features offered, licensing cost and support, scalability and performance, platform support, integration and ecosystem, and security and compliance features.

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Advice on MySQL, Microsoft SQL Server, IBM DB2

Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

Decidedon

PostGIS

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

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

CEO at SuPragma

Apr 16, 2020

Needs adviceon

MySQL

PostgreSQL

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	Microsoft SQL Server	IBM DB2
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.	Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.	DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.
Statistics
GitHub Stars 11.8K	GitHub Stars -	GitHub Stars -
GitHub Forks 4.1K	GitHub Forks -	GitHub Forks -
Stacks 129.6K	Stacks 21.3K	Stacks 245
Followers 108.6K	Followers 15.5K	Followers 254
Votes 3.8K	Votes 540	Votes 19
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	Pros 139 Reliable and easy to use 101 High performance 95 Great with .net 65 Works well with .net 56 Easy to maintain Cons 4 Expensive Licensing 2 Microsoft 1 The maximum number of connections is only 14000 connect 1 Replication can loose the data 1 Allwayon can loose data in asycronious mode	Pros 7 Rock solid and very scalable 5 BLU Analytics is amazingly fast 2 Secure by default 2 Easy 2 Native XML support
Integrations
No integrations available	No integrations available	Node.js JavaScript PHP Ruby Java Python C# .NET C++ Perl

What are some alternatives to MySQL, Microsoft SQL Server, IBM DB2?

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 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.

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.

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 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.

CouchDB

Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.

Related Comparisons

IBM DB2 vs Microsoft SQL Server vs MySQL: What are the differences?

Key Differences between IBM DB2, Microsoft SQL Server, and MySQL

IBM DB2 vs Microsoft SQL Server vs MySQL

Overview

IBM DB2 vs Microsoft SQL Server vs MySQL: What are the differences?