DBMS > Galaxybase vs. H2 vs. PouchDB vs. Transwarp ArgoDB

System Properties Comparison Galaxybase vs. H2 vs. PouchDB vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines

Name

Description

Scalable, ACID-compliant native distributed parallel graph platform

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

JavaScript DBMS with an API inspired by CouchDB

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Secondary database models

Spatial DBMS

Search engine

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Trend Chart

Score	0.07
Rank	#377	Overall
	#40	Graph DBMS

Score	8.33
Rank	#46	Overall
	#30	Relational DBMS

Score	2.34
Rank	#112	Overall
	#21	Document stores

Score	0.12
Rank	#348	Overall
	#151	Relational DBMS

Website

galaxybase.com

www.h2database.com

pouchdb.com

www.transwarp.cn/en/product/argodb

Technical documentation

www.h2database.com/html/main.html

pouchdb.com/guides

docs.transwarp.cn/#/documents-support/docs?category=ARGODB

Developer

Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司

Thomas Mueller

Apache Software Foundation

Transwarp

Initial release

2017

2005

2012

Current release

Nov 20, November 2021

2.2.220, July 2023

7.1.1, June 2019

License

Commercial or Open Source

commercial

Open Source

dual-licence (Mozilla public license, Eclipse public license)

Open Source

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 and Java

Java

JavaScript

Server operating systems

Linux

All OS with a Java VM

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

Strong typed schema

yes

schema-free

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

via views

yes

SQL

Support of SQL

yes

APIs and other access methods

Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API

JDBC
ODBC

HTTP REST

only for PouchDB Server
JavaScript API

Supported programming languages

Go
Java
Python

Java

JavaScript

Server-side scripts

Stored procedures

user defined procedures and functions

Java Stored Procedures and User-Defined Functions

View functions in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

with a proxy-based framework, named couchdb-lounge

Replication methods

Methods for redundantly storing data on multiple nodes

With clustering: 2 database servers on different computers operate on identical copies of a database

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

by using IndexedDB, WebSQL or LevelDB as backend

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

Role-based access control

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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