DBMS > gStore vs. ITTIA vs. NSDb

System Properties Comparison gStore vs. ITTIA vs. NSDb

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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

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

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	0.08
Rank	#369	Overall
	#40	Time Series DBMS

Website

en.gstore.cn

www.ittia.com

nsdb.io

Technical documentation

en.gstore.cn/#/enDocs

nsdb.io/Architecture

Developer

ITTIA L.L.C.

Initial release

2016

2007

2017

Current release

1.2, November 2023

8.7

License

Commercial or Open Source

Open Source

BSD

commercial

Open Source

Apache Version 2.0

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++

Java, Scala

Server operating systems

Linux

Linux
Windows

Linux
macOS

Data scheme

schema-free and OWL/RDFS-schema support

Fixed schema

Typing

predefined data types such as float or date

yes

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

yes: int, bigint, decimal, string

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

all fields are automatically indexed

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

HTTP API
SPARQL 1.1

JDBC
ODBC
RESTful HTTP API
WebSocket

gRPC
HTTP REST
WebSocket

Supported programming languages

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

C
C++
JavaScript (Node.js)
Python

Java
Scala

Server-side scripts

Stored procedures

yes

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

Using Apache Lucene

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

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