StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. EdgeDB vs IBM DB2

EdgeDB vs IBM DB2

OverviewComparisonAlternatives

Overview

IBM DB2
IBM DB2
Stacks245
Followers254
Votes19
EdgeDB
EdgeDB
Stacks17
Followers52
Votes0

EdgeDB vs IBM DB2: What are the differences?

# Key Differences between EdgeDB and IBM DB2

<Write Introduction here>

1. **Data Model**: EdgeDB utilizes a sophisticated object-relational data model that allows for complex relationships and interconnections between data entities, while IBM DB2 follows a more traditional relational data model which is better suited for structured data.
2. **Query Language**: EdgeDB uses EdgeQL, a powerful query language specifically designed for working with graph-like data models, while IBM DB2 supports SQL, a widely-used query language for relational databases.
3. **Development Approach**: EdgeDB focuses on providing a modern and developer-friendly experience with tools like introspection, migrations, and versioning built-in, whereas IBM DB2 has a more traditional approach that may require additional tools for these functionalities.
4. **Scalability**: EdgeDB is designed to be highly scalable and performant, especially when dealing with complex data relationships, whereas IBM DB2 may require additional configurations and optimizations for similar scalability.
5. **Open Source vs. Proprietary**: EdgeDB is an open-source database system, allowing for transparency and community contributions, while IBM DB2 is a proprietary database system with licensing fees and limited flexibility for customization.
6. **Platform Support**: EdgeDB is primarily designed for modern cloud-native applications and cloud platforms, while IBM DB2 has been around for many years and offers support for a wider range of platforms including mainframes.

In Summary, EdgeDB and IBM DB2 differ in their data models, query languages, development approaches, scalability, openness, and platform support.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

IBM DB2
IBM DB2
EdgeDB
EdgeDB

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

An object-relational database that stores and describes the data as strongly typed objects and relationships between them.

-
Strict, strongly typed schema; Powerful and clean query language; Ability to easily work with complex hierarchical data; Built-in support for schema migrations
Statistics
Stacks
245
Stacks
17
Followers
254
Followers
52
Votes
19
Votes
0
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
No community feedback yet
Integrations
Node.js
Node.js
JavaScript
JavaScript
PHP
PHP
Ruby
Ruby
Java
Java
Python
Python
C#
C#
.NET
.NET
C++
C++
Perl
Perl
GraphQL
GraphQL
Python
Python

What are some alternatives to IBM DB2, EdgeDB?

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.

MySQL

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

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase