DBMS > OrigoDB vs. Percona Server for MongoDB vs. SAP IQ vs. VelocityDB

System Properties Comparison OrigoDB vs. Percona Server for MongoDB vs. SAP IQ vs. VelocityDB

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Editorial information provided by DB-Engines

Name

Description

A fully ACID in-memory object graph database

A drop-in replacement for MongoDB Community Edition with enterprise-grade features.

Columnar RDBMS optimized for Big Data analytics

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

Primary database model

Document store
Object oriented DBMS

Document store

Relational DBMS

column-oriented

Graph DBMS
Object oriented DBMS

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

Score	0.06
Rank	#380	Overall
	#50	Document stores
	#18	Object oriented DBMS

Score	0.60
Rank	#246	Overall
	#39	Document stores

Score	2.64
Rank	#108	Overall
	#52	Relational DBMS

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

Website

origodb.com

www.percona.com/mongodb/software/percona-server-for-mongodb

www.sap.com/products/technology-platform/sybase-iq-big-data-management.html

velocitydb.com

Technical documentation

origodb.com/docs

docs.percona.com/percona-distribution-for-mongodb

help.sap.com/docs/SAP_IQ

velocitydb.com/UserGuide

Developer

Robert Friberg et al

Percona

SAP, formerly Sybase

VelocityDB Inc

Initial release

2009

under the name LiveDB

2015

1994

2011

Current release

3.4.10-2.10, November 2017

16.1 SPS04, April 2019

7.x

License

Commercial or Open Source

Open Source

GPL Version 2

commercial

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++

Server operating systems

Linux
Windows

Linux

AIX
HP-UX
Linux
Solaris
Windows

Any that supports .NET

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

User defined using .NET types and collections

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.

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

.NET Client API
HTTP API
LINQ

proprietary protocol using JSON

ADO.NET
JDBC
ODBC
RESTful HTTP API

.Net

Supported programming languages

.Net

Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk

C
C#
C++
Java
Perl
PHP
Python
Ruby

.Net

Server-side scripts

Stored procedures

yes

JavaScript

yes

Triggers

yes

Domain Events

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

client side managed; servers are not synchronized

Sharding

shared disk or shared nothing architectures with SAP IQ Multiplexer

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

SAP/Sybase Replication Server

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

depending on model

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

Write ahead log

yes

In-memory capabilities

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

yes

via In-Memory Engine

yes

User concepts

Access control

Role based authorization

Access rights for users and roles

fine grained access rights according to SQL-standard

Based on Windows Authentication

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