Screenshots
Description
Over the years, the data became increasingly valuable asset for governments, businesses and people around the world. Management of even larger volumes of data and the evolving specifics of its type remain critical technical challenge.
Database Benchmarking was created as an open source project to provide a foundation for system architects and IT managers to compare NoSQL and SQL engines in their own environments before deciding which technology to use for a new application. It delivers functional capabilities to run workload benchmarks of both sequential and random keys. The framework provides predefined implementations of database engines that are representing the most common storage technologies, such as W-tree, B-tree, LSM Tree and Radix Tree.
Included Database Engines:
STSdb
Oracle Berkeley DB
Perst
HamsterDB
Db4objects
MySQL
MS SQL
SQLite
MS Access
Firebird
H2
ScimoreDB
MongoDB
levelDB
VelocityDB
Versions are included in VersionHistory.txt file.