DBMS > SpaceTime vs. Transwarp Hippo vs. Valentina Server

System Properties Comparison SpaceTime vs. Transwarp Hippo vs. Valentina Server

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Editorial information provided by DB-Engines

Name

Description

SpaceTime is a spatio-temporal DBMS with a focus on performance.

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

Object-relational database and reports server

Primary database model

Spatial DBMS

Vector DBMS

Relational DBMS

Secondary database models

Relational DBMS

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

Score	0.00
Rank	#382	Overall
	#7	Spatial DBMS

Score	0.00
Rank	#382	Overall
	#21	Vector DBMS

Score	0.19
Rank	#308	Overall
	#137	Relational DBMS

Website

www.mireo.com/spacetime

www.transwarp.cn/en/subproduct/hippo

www.valentina-db.net

Technical documentation

valentina-db.com/docs/dokuwiki/v5/doku.php

Developer

Mireo

Paradigma Software

Initial release

2020

2023

1999

Current release

1.0, May 2023

5.7.5

License

Commercial or 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

Linux
macOS

Linux
OS X
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

Vector, Numeric and String

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

A subset of ANSI SQL is implemented

yes

APIs and other access methods

RESTful HTTP API

ODBC

Supported programming languages

C#
C++
Python

C++
Java
Python

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Fixed-grid hypercubes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Real-time block device replication (DRBD)

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

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

User concepts

Access control

yes

Role based access control and fine grained access rights

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

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