DBMS > EsgynDB vs. GeoSpock vs. PouchDB vs. TinkerGraph vs. Tkrzw

System Properties Comparison EsgynDB vs. GeoSpock vs. PouchDB vs. TinkerGraph vs. Tkrzw

Editorial information provided by DB-Engines

Name

GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.

Description

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

Spatial and temporal data processing engine for extreme data scale

JavaScript DBMS with an API inspired by CouchDB

A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

Primary database model

Secondary database models

Time Series DBMS

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

Score	0.16
Rank	#329	Overall
	#146	Relational DBMS

Score	2.28
Rank	#115	Overall
	#21	Document stores

Score	0.08
Rank	#348	Overall
	#35	Graph DBMS

Score	0.00
Rank	#383	Overall
	#60	Key-value stores

Website

www.esgyn.cn

geospock.com

pouchdb.com

tinkerpop.apache.org/docs/current/reference/#tinkergraph-gremlin

dbmx.net/tkrzw

Technical documentation

pouchdb.com/guides

Developer

Esgyn

GeoSpock

Apache Software Foundation

Mikio Hirabayashi

Initial release

2015

2012

2009

2020

Current release

2.0, September 2019

7.1.1, June 2019

0.9.3, August 2020

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++, Java

Java, Javascript

JavaScript

Java

C++

Server operating systems

Linux

hosted

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

Linux
macOS

Data scheme

yes

schema-free

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

temporal, categorical

yes

via views

SQL

Support of SQL

yes

ANSI SQL for query only (using Presto)

APIs and other access methods

ADO.NET
JDBC
ODBC

JDBC

HTTP REST

only for PouchDB Server
JavaScript API

TinkerPop 3

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

JavaScript

Groovy
Java

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

Java Stored Procedures

View functions in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Automatic sharding

Sharding

with a proxy-based framework, named couchdb-lounge

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication between multi datacenters

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

none

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

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, WebSQL or LevelDB as backend

optional

yes

In-memory capabilities

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

yes

using specific database classes

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights for users can be defined per table

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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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