DBMS > gStore vs. ITTIA vs. PostGIS

System Properties Comparison gStore vs. ITTIA vs. PostGIS

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Editorial information provided by DB-Engines

Name

Description

A native Graph DBMS to store and maintain very large RDF datasets.

Edge Time Series DBMS with Real-Time Stream Processing

Spatial extension of PostgreSQL

Primary database model

Graph DBMS
RDF store

Time Series DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	0.14
Rank	#342	Overall
	#34	Graph DBMS
	#16	RDF stores

Score	0.44
Rank	#267	Overall
	#23	Time Series DBMS

Score	21.72
Rank	#29	Overall
	#1	Spatial DBMS

Website

en.gstore.cn

www.ittia.com

postgis.net

Technical documentation

en.gstore.cn/#/enDocs

postgis.net/documentation

Developer

ITTIA L.L.C.

Initial release

2016

2007

2005

Current release

1.2, November 2023

8.7

3.4.2, February 2024

License

Commercial or Open Source

Open Source

BSD

commercial

Open Source

GPL v2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

C and C++

Server operating systems

Linux

Linux
Windows

Data scheme

schema-free and OWL/RDFS-schema support

Fixed schema

yes

Typing

predefined data types such as float or date

yes

Float/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval

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

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

HTTP API
SPARQL 1.1

JDBC
ODBC
RESTful HTTP API
WebSocket

Supported programming languages

C++
Java
JavaScript (Node.js)
PHP
Python

C
C++
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

based on PostgreSQL

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on PostgreSQL

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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, roles and permissions, Role-Based Access Control (RBAC) supported

Database file passwords

yes

based on PostgreSQL

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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