FoundationDB vs IBM DB2

Overview

IBM DB2

Stacks245

Followers254

Votes19

FoundationDB

Stacks34

Followers79

Votes21

FoundationDB vs IBM DB2: What are the differences?

Introduction:

FoundationDB and IBM DB2 are two databases used in different contexts and have their own set of unique features and functionalities. Understanding the key differences between the two can help users make informed decisions when choosing the right database system for their specific needs.

1. Architecture: FoundationDB is designed as a distributed, multi-model database that provides ACID transactions across multiple layers. On the other hand, IBM DB2 is a relational database management system (RDBMS) that follows the traditional relational model, offering features like SQL querying and schema management.

2. Scalability: FoundationDB is known for its scalability capabilities, as it can scale horizontally with ease by adding more nodes to the cluster. IBM DB2, although it supports some level of scalability, may face challenges in scaling out to handle large workloads efficiently.

3. Consistency Model: FoundationDB follows a strict global ACID consistency model to ensure data integrity, which is crucial for mission-critical applications. In contrast, IBM DB2 offers different isolation levels, allowing users to choose between consistency and performance based on their requirements.

4. Data Modeling: FoundationDB offers a flexible data model that supports document-oriented, key-value, and relational data storage. IBM DB2, being a relational database, focuses primarily on tabular data storage with robust support for SQL queries and relational schema management.

5. Open Source vs. Proprietary: FoundationDB is an open-source database system that is free to use, modify, and distribute, making it ideal for developers looking for an affordable and customizable solution. On the other hand, IBM DB2 is a proprietary database system that comes with licensing fees, support packages, and limited customization options.

6. Ecosystem and Support: FoundationDB has a growing community and ecosystem that contributes to its development and provides support through forums, documentation, and community-driven resources. In contrast, IBM DB2 has been in the market for a long time, offering extensive support, training, and enterprise-grade solutions for organizations with complex data management needs.

In Summary, FoundationDB and IBM DB2 differ in their architecture, scalability, consistency model, data modeling approach, licensing, and support ecosystem, catering to different use cases and preferences in the database management landscape.

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Advice on IBM DB2, FoundationDB

Karan

Senior Software Developer at Shyplite

Jan 13, 2022

Decided

So, we started using foundationDB for an OLAP system although the inbuilt tools for some core things like aggregation and filtering were negligible, with the high through put of the DB, we were able to handle it on the application. The system has been running pretty well for the past 6 months, although the data load isn’t very high yet, the performance is fairly promising

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Detailed Comparison

IBM DB2	FoundationDB
DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.	FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.
-	Multiple data models;Full, multi-key ACID transactions;No locking;Bindings available in Python, Ruby, Node, PHP, Java, Go, and C
Statistics
Stacks 245	Stacks 34
Followers 254	Followers 79
Votes 19	Votes 21
Pros & Cons
Pros 7 Rock solid and very scalable 5 BLU Analytics is amazingly fast 2 Secure by default 2 Easy 2 Native XML support	Pros 6 ACID transactions 5 Linear scalability 3 Key-Value Store 3 Great Foundation 3 Multi-model database
Integrations
Node.js JavaScript PHP Ruby Java Python C# .NET C++ Perl	No integrations available

What are some alternatives to IBM DB2, FoundationDB?

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.

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.

Related Comparisons

FoundationDB vs IBM DB2: What are the differences?

Introduction:

FoundationDB vs IBM DB2

Overview