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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. IBM DB2 vs Riak

IBM DB2 vs Riak

OverviewComparisonAlternatives

Overview

IBM DB2
IBM DB2
Stacks245
Followers254
Votes19
Riak
Riak
Stacks103
Followers137
Votes44
GitHub Stars4.0K
Forks535

IBM DB2 vs Riak: What are the differences?

Developers describe IBM DB2 as "A family of database server products developed by IBM". DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs. On the other hand, Riak is detailed as "A distributed, decentralized data storage system". Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.

IBM DB2 and Riak can be primarily classified as "Databases" tools.

"Rock solid and very scalable" is the top reason why over 5 developers like IBM DB2, while over 9 developers mention "High Performance " as the leading cause for choosing Riak.

Riak is an open source tool with 3.24K GitHub stars and 530 GitHub forks. Here's a link to Riak's open source repository on GitHub.

According to the StackShare community, Riak has a broader approval, being mentioned in 15 company stacks & 10 developers stacks; compared to IBM DB2, which is listed in 7 company stacks and 9 developer stacks.

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Detailed Comparison

IBM DB2
IBM DB2
Riak
Riak

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

Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.

Statistics
GitHub Stars
-
GitHub Stars
4.0K
GitHub Forks
-
GitHub Forks
535
Stacks
245
Stacks
103
Followers
254
Followers
137
Votes
19
Votes
44
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
  • 14
    High Performance
  • 11
    High Availability
  • 9
    Easy Scalability
  • 5
    Flexible
  • 1
    Strong Consistency
Integrations
Node.js
Node.js
JavaScript
JavaScript
PHP
PHP
Ruby
Ruby
Java
Java
Python
Python
C#
C#
.NET
.NET
C++
C++
Perl
Perl
No integrations available

What are some alternatives to IBM DB2, Riak?

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.

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