DBMS > BaseX vs. HyperSQL vs. OrientDB vs. SpaceTime

System Properties Comparison BaseX vs. HyperSQL vs. OrientDB vs. SpaceTime

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Editorial information provided by DB-Engines

Name

Description

Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

Multi-model DBMS (Document, Graph, Key/Value)

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

Primary database model

Native XML DBMS

Relational DBMS

Document store
Graph DBMS
Key-value store

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	1.56
Rank	#141	Overall
	#4	Native XML DBMS

Score	3.14
Rank	#85	Overall
	#46	Relational DBMS

Score	3.02
Rank	#88	Overall
	#16	Document stores
	#6	Graph DBMS
	#12	Key-value stores

Score	0.00
Rank	#385	Overall
	#7	Spatial DBMS

Website

basex.org

hsqldb.org

orientdb.org

www.mireo.com/spacetime

Technical documentation

docs.basex.org

hsqldb.org/web/hsqlDocsFrame.html

www.orientdb.com/docs/last/index.html

Developer

BaseX GmbH

OrientDB LTD; CallidusCloud; SAP

Mireo

Initial release

2007

2001

2010

2020

Current release

11.2, August 2024

2.7.2, June 2023

3.2.29, March 2024

License

Commercial or Open Source

Open Source

BSD license

Open Source

based on BSD license

Open Source

Apache version 2

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Server operating systems

Linux
OS X
Windows

All OS with a Java VM

Embedded (into Java applications) and Client-Server operating modes

All OS with a Java JDK (>= JDK 6)

Linux

Data scheme

schema-free

yes

schema-free

Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")

yes

Typing

predefined data types such as float or date

XQuery supports types

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

SQL-like query language, no joins

A subset of ANSI SQL is implemented

APIs and other access methods

Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ

HTTP API

JDBC via HTTP
JDBC
ODBC

Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API

RESTful HTTP API

Supported programming languages

Actionscript
C
C#
Haskell
Java
JavaScript

Node.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic

All languages supporting JDBC/ODBC
Java

.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala

C#
C++
Python

Server-side scripts

Stored procedures

yes

Java, SQL

Java, Javascript

Triggers

yes

via events

yes

Hooks

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Fixed-grid hypercubes

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication

Real-time block device replication (DRBD)

MapReduce

Offers an API for user-defined Map/Reduce methods

could be achieved with distributed queries

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

relationship in graphs

Transaction concepts

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

multiple readers, single writer

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

User concepts

Access control

Users with fine-grained authorization concept on 4 levels

fine grained access rights according to SQL-standard

Access rights for users and roles; record level security configurable

yes

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More resources

DB-Engines blog posts

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