DBMS > gStore vs. ReductStore vs. STSdb vs. WakandaDB

System Properties Comparison gStore vs. ReductStore vs. STSdb vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

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

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

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

Score	0.03
Rank	#367	Overall
	#37	Graph DBMS
	#18	RDF stores

Score	0.00
Rank	#385	Overall
	#40	Time Series DBMS

Score	0.03
Rank	#365	Overall
	#54	Key-value stores

Score	0.03
Rank	#364	Overall
	#17	Object oriented DBMS

Website

en.gstore.cn

github.com/reductstore
www.reduct.store

github.com/STSSoft/STSdb4

wakanda.github.io

Technical documentation

en.gstore.cn/#/enDocs

www.reduct.store/docs

wakanda.github.io/doc

Developer

ReductStore LLC

STS Soft SC

Wakanda SAS

Initial release

2016

2023

2011

2012

Current release

1.2, November 2023

1.9, March 2024

4.0.8, September 2015

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

BSD

Open Source

Business Source License 1.1

Open Source

GPLv2, commercial license available

Open Source

AGPLv3, extended commercial license available

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++

C++, Rust

C++, JavaScript

Server operating systems

Linux

Docker
Linux
macOS
Windows

Windows

Linux
OS X
Windows

Data scheme

schema-free and OWL/RDFS-schema support

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

SQL

Support of SQL

APIs and other access methods

HTTP API
SPARQL 1.1

HTTP API

.NET Client API

RESTful HTTP API

Supported programming languages

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

C++
JavaScript (Node.js)
Python
Rust

C#
Java

JavaScript

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

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

Transaction concepts

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

yes

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.

User concepts

Access control

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

yes

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