DBMS > Tkrzw vs. VelocityDB vs. Yaacomo

System Properties Comparison Tkrzw vs. VelocityDB vs. Yaacomo

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Editorial information provided by DB-Engines

Name

Description

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing

Primary database model

Key-value store

Graph DBMS
Object oriented DBMS

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.00
Rank	#389	Overall
	#63	Key-value stores

Score	0.19
Rank	#356	Overall
	#35	Graph DBMS
	#20	Object oriented DBMS

Score	0.00
Rank	#389	Overall
	#162	Relational DBMS

Website

dbmx.net/tkrzw

velocitydb.com

yaacomo.com

Technical documentation

velocitydb.com/UserGuide

Developer

Mikio Hirabayashi

VelocityDB Inc

Q2WEB GmbH

Initial release

2020

2011

2009

Current release

0.9.3, August 2020

7.x

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

Linux
macOS

Any that supports .NET

Android
Linux
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

.Net

JDBC
ODBC

Supported programming languages

C++
Java
Python
Ruby

.Net

Server-side scripts

Stored procedures

Triggers

Callbacks are triggered when data changes

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

using specific database classes

yes

User concepts

Access control

Based on Windows Authentication

fine grained access rights according to SQL-standard

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