DBMS > OrigoDB vs. Transwarp Hippo vs. UniData,UniVerse vs. VelocityDB

System Properties Comparison OrigoDB vs. Transwarp Hippo vs. UniData,UniVerse vs. VelocityDB

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Editorial information provided by DB-Engines

Name

Description

A fully ACID in-memory object graph database

Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets

MultiValue database and application server with SQL mapping layer and meta database capabilities

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

Vector DBMS

Multivalue DBMS

Graph DBMS
Object oriented DBMS

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

Score	0.00
Rank	#383	Overall
	#53	Document stores
	#20	Object oriented DBMS

Score	0.00
Rank	#383	Overall
	#13	Vector DBMS

Score	3.16
Rank	#97	Overall
	#2	Multivalue DBMS

Score	0.05
Rank	#358	Overall
	#36	Graph DBMS
	#16	Object oriented DBMS

Website

origodb.com

www.transwarp.cn/en/subproduct/hippo

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-unidata

velocitydb.com

Technical documentation

origodb.com/docs

docs.rocketsoftware.com/bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata

velocitydb.com/UserGuide

Developer

Robert Friberg et al

Rocket Software

VelocityDB Inc

Initial release

2009

under the name LiveDB

2023

1985

2011

Current release

1.0, May 2023

7.x

License

Commercial or Open Source

Open Source

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
macOS

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

Vector, Numeric and String

optional

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

RESTful HTTP API

Java API

JPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API

.Net

Supported programming languages

.Net

C++
Java
Python

.Net
Basic

U2 Basic
C
Java

.Net

Server-side scripts

Stored procedures

yes

Triggers

yes

Domain Events

yes

U2 Basic

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

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

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

depending on model

Transaction concepts

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

ACID

configurable

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

User concepts

Access control

Role based authorization

Role based access control and fine grained access rights

Access rights according to SQL-standard and operating system based

Based on Windows Authentication

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