DBMS > gStore vs. NSDb vs. Oracle Rdb

System Properties Comparison gStore vs. NSDb vs. Oracle Rdb

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Editorial information provided by DB-Engines

Name

Description

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

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

Primary database model

Graph DBMS
RDF store

Time Series DBMS

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	0.08
Rank	#369	Overall
	#40	Time Series DBMS

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Website

en.gstore.cn

nsdb.io

www.oracle.com/database/technologies/related/rdb.html

Technical documentation

en.gstore.cn/#/enDocs

nsdb.io/Architecture

www.oracle.com/database/technologies/related/rdb-doc.html

Developer

Oracle, originally developed by Digital Equipment Corporation (DEC)

Initial release

2016

2017

1984

Current release

1.2, November 2023

7.4.1.1, 2021

License

Commercial or Open Source

Open Source

BSD

Open Source

Apache Version 2.0

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++

Java, Scala

Server operating systems

Linux

Linux
macOS

HP Open VMS

Data scheme

schema-free and OWL/RDFS-schema support

Flexible Schema (defined schema, partial schema, schema free)

Typing

predefined data types such as float or date

yes

yes: int, bigint, decimal, 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

all fields are automatically indexed

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

HTTP API
SPARQL 1.1

gRPC
HTTP REST
WebSocket

Supported programming languages

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

Java
Scala

Server-side scripts

Stored procedures

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

yes, on a single node

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Using Apache Lucene

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

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

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