DBMS > H2GIS vs. Transwarp StellarDB vs. WakandaDB

System Properties Comparison H2GIS vs. Transwarp StellarDB vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

A distributed graph DBMS built for enterprise-level graph applications

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

Primary database model

Spatial DBMS

Graph DBMS

Object oriented DBMS

Secondary database models

Relational DBMS

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

Score	0.08
Rank	#368	Overall
	#7	Spatial DBMS

Score	0.07
Rank	#371	Overall
	#39	Graph DBMS

Score	0.10
Rank	#356	Overall
	#17	Object oriented DBMS

Website

www.h2gis.org

www.transwarp.cn/en/product/stellardb

wakanda.github.io

Technical documentation

www.h2gis.org/docs/home

wakanda.github.io/doc

Developer

CNRS

Transwarp

Wakanda SAS

Initial release

2013

2012

Current release

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

LGPL 3.0

commercial

Open Source

AGPLv3, extended commercial license available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++, JavaScript

Server operating systems

Linux
OS X
Windows

Data scheme

yes

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.

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

OpenCypher

RESTful HTTP API

Supported programming languages

Java

JavaScript

Server-side scripts

Stored procedures

yes

based on H2

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

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

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

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

yes

based on H2

yes

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