DBMS > Quasardb vs. SiteWhere vs. VelocityDB vs. YottaDB

System Properties Comparison Quasardb vs. SiteWhere vs. VelocityDB vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

Distributed, high-performance timeseries database

M2M integration platform for persisting/querying time series data

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

A fast and solid embedded Key-value store

Primary database model

Time Series DBMS

Graph DBMS
Object oriented DBMS

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	0.21
Rank	#322	Overall
	#29	Time Series DBMS

Score	0.06
Rank	#383	Overall
	#43	Time Series DBMS

Score	0.11
Rank	#354	Overall
	#37	Graph DBMS
	#16	Object oriented DBMS

Score	0.28
Rank	#306	Overall
	#44	Key-value stores

Website

quasar.ai

github.com/sitewhere/sitewhere

velocitydb.com

yottadb.com

Technical documentation

doc.quasar.ai/master

sitewhere1.sitewhere.io/index.html

velocitydb.com/UserGuide

yottadb.com/resources/documentation

Developer

quasardb

SiteWhere

VelocityDB Inc

YottaDB, LLC

Initial release

2009

2010

2011

2001

Current release

3.14.1, January 2024

7.x

License

Commercial or Open Source

commercial

Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses

Open Source

Common Public Attribution License Version 1.0

commercial

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Java

Server operating systems

BSD
Linux
OS X
Windows

Linux
OS X
Windows

Any that supports .NET

Docker
Linux

Data scheme

schema-free

predefined scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

integer and binary

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

with tags

yes

SQL

Support of SQL

SQL-like query language

by using the Octo plugin

APIs and other access methods

HTTP API

HTTP REST

.Net

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

.Net

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

Triggers

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

consistent hashing

Sharding

based on HBase

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication with selectable replication factor

selectable replication factor

based on HBase

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

with Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using LevelDB

yes

In-memory capabilities

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

yes

Transient mode

yes

User concepts

Access control

Cryptographically strong user authentication and audit trail

Users with fine-grained authorization concept

Based on Windows Authentication

Users and groups based on OS-security mechanisms

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More resources

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