SQLite vs IBM DB2

Struggling to choose between SQLite and IBM DB2? Both products offer unique advantages, making it a tough decision.

SQLite is a Development solution with tags like database, embedded, local-storage, c-library, relational.

It boasts features such as Serverless - No separate server process needed, Zero Configuration - No setup or administration needed, Self-Contained - Contains entire database in a single disk file, Full-featured - Implements core SQL92 features, Cross-Platform - Available on all major operating systems, Small Footprint - Library size is less than 300KB, Reliable - Over 1 trillion database queries per day across millions of installations, Fast - Faster than client/server RDBMS for most common operations, Simple API - Single C library, just sqlite3.h and sqlite3.c and pros including Lightweight and fast, Serverless and zero configuration, Self-contained in a single file, Reliable and battle-tested, Available on all platforms, Simple and easy to use API, Full-featured SQL implementation, Permissive licensing.

On the other hand, IBM DB2 is a Business & Commerce product tagged with relational-database, rdbms, xml, json, multiplatform.

Its standout features include Relational database management system (RDBMS), Advanced database features like row-level locking, stored procedures, triggers, XML and JSON data type support, Runs on multiple platforms like Linux, UNIX and Windows, and it shines with pros like High performance and scalability, Data compression for reduced storage requirements, Advanced security features, Supports complex data types like geospatial data, Compatibility with many programming languages and frameworks.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

SQLite

SQLite

SQLite is a relational database management system contained in a C library. It is a popular choice as an embedded database for local/client storage in software applications due to its compact size, reliability, and availability on most platforms.

Categories:
database embedded local-storage c-library relational

SQLite Features

  1. Serverless - No separate server process needed
  2. Zero Configuration - No setup or administration needed
  3. Self-Contained - Contains entire database in a single disk file
  4. Full-featured - Implements core SQL92 features
  5. Cross-Platform - Available on all major operating systems
  6. Small Footprint - Library size is less than 300KB
  7. Reliable - Over 1 trillion database queries per day across millions of installations
  8. Fast - Faster than client/server RDBMS for most common operations
  9. Simple API - Single C library, just sqlite3.h and sqlite3.c

Pricing

  • Open Source

Pros

Lightweight and fast

Serverless and zero configuration

Self-contained in a single file

Reliable and battle-tested

Available on all platforms

Simple and easy to use API

Full-featured SQL implementation

Permissive licensing

Cons

Limited concurrency without add-ons

No user management built-in

Limited data integrity features

Not suitable for high-volume OLTP apps

No network access or client-server operation

Limited reporting and analytics features


IBM DB2

IBM DB2

IBM DB2 is a relational database management system (RDBMS) developed by IBM. It supports advanced database features like row-level locking, stored procedures, triggers, XML data type storage, and native JSON data type support. DB2 runs on multiple platforms like Linux, UNIX, and Windows.

Categories:
relational-database rdbms xml json multiplatform

IBM DB2 Features

  1. Relational database management system (RDBMS)
  2. Advanced database features like row-level locking, stored procedures, triggers
  3. XML and JSON data type support
  4. Runs on multiple platforms like Linux, UNIX and Windows

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

High performance and scalability

Data compression for reduced storage requirements

Advanced security features

Supports complex data types like geospatial data

Compatibility with many programming languages and frameworks

Cons

Can be complex to administer

Limited cloud capabilities compared to other databases

Vendor lock-in

Expensive licensing model