DBMS > H2GIS vs. Postgres-XL vs. TerminusDB vs. TinkerGraph

System Properties Comparison H2GIS vs. Postgres-XL vs. TerminusDB vs. TinkerGraph

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API

Primary database model

Spatial DBMS

Relational DBMS

Graph DBMS

Secondary database models

Relational DBMS

Document store
Spatial DBMS

Document store
RDF store

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Trend Chart

Score	0.05
Rank	#372	Overall
	#7	Spatial DBMS

Score	0.52
Rank	#256	Overall
	#117	Relational DBMS

Score	0.22
Rank	#323	Overall
	#28	Graph DBMS

Score	0.12
Rank	#344	Overall
	#34	Graph DBMS

Website

www.h2gis.org

www.postgres-xl.org

terminusdb.com

tinkerpop.apache.org/docs/current/reference/#tinkergraph-gremlin

Technical documentation

www.h2gis.org/docs/home

www.postgres-xl.org/documentation

terminusdb.github.io/terminusdb/#

Developer

CNRS

DataChemist Ltd.

Initial release

2013

2014

since 2012, originally named StormDB

2018

2009

Current release

10 R1, October 2018

11.0.0, January 2023

License

Commercial or Open Source

Open Source

LGPL 3.0

Open Source

Mozilla public license

Open Source

GPL V3

Open Source

Apache 2.0

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

Java

Prolog, Rust

Java

Server operating systems

Linux
macOS

Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

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.

yes

XML type, but no XML query functionality

Secondary indexes

yes

SQL

Support of SQL

yes

distributed, parallel query execution

SQL-like query language (WOQL)

APIs and other access methods

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

TinkerPop 3

Supported programming languages

Java

.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

JavaScript
Python

Groovy
Java

Server-side scripts

Stored procedures

yes

based on H2

user defined functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Graph Partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

Journaling Streams

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

ACID

MVCC

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

in-memory journaling

optional

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

based on H2

fine grained access rights according to SQL-standard

Role-based access control

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