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DBMS > BigObject vs. EsgynDB vs. Graph Engine vs. OrigoDB vs. SQL.JS

System Properties Comparison BigObject vs. EsgynDB vs. Graph Engine vs. OrigoDB vs. SQL.JS

Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for real-time computations and queries

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

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

A fully ACID in-memory object graph database

Port of SQLite to JavaScript

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Relational DBMS

Graph DBMS
Key-value store

Document store
Object oriented DBMS

Relational DBMS

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

Score	0.13
Rank	#333	Overall
	#147	Relational DBMS

Score	0.16
Rank	#329	Overall
	#146	Relational DBMS

Score	0.61
Rank	#240	Overall
	#21	Graph DBMS
	#35	Key-value stores

Score	0.00
Rank	#383	Overall
	#53	Document stores
	#20	Object oriented DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

www.graphengine.io

Technical documentation

docs.bigobject.io

www.graphengine.io/docs/manual

origodb.com/docs

sql.js.org/documentation/index.html

Developer

BigObject, Inc.

Esgyn

Microsoft

Robert Friberg et al

Alon Zakai

enhancements implemented by others

Initial release

2015

2015

2010

2009

under the name LiveDB

2012

License

Commercial or Open Source

commercial

free community edition available

commercial

Open Source

MIT License

Open Source

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++, Java

.NET and C

C#

JavaScript

Server operating systems

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

Linux

.NET

Linux
Windows

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

Data scheme

yes

yes

yes

yes

yes

Typing

predefined data types such as float or date

yes

yes

yes

User defined using .NET types and collections

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.

no

no

no

no

can be achieved using .NET

no

Secondary indexes

yes

yes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

yes

no

no

yes

SQL-92 is not fully supported

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

ADO.NET
JDBC
ODBC

RESTful HTTP API

.NET Client API
HTTP API
LINQ

JavaScript API

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

C#
C++
F#
Visual Basic

.Net

JavaScript

Server-side scripts

Stored procedures

Lua

Java Stored Procedures

yes

yes

no

Triggers

no

no

no

yes

Domain Events

no

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning

horizontal partitioning

client side managed; servers are not synchronized

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication between multi datacenters

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

yes

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

none

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

yes

no

depending on model

yes

Transaction concepts

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

no

ACID

no

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

yes

yes

yes

Durability

Support for making data persistent

yes

yes

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

yes

Write ahead log

no

except by serializing a db to a file

In-memory capabilities

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

yes

no

yes

yes

yes

User concepts

Access control

no

fine grained access rights according to SQL-standard

Role based authorization

no

More information provided by the system vendor

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More resources

DB-Engines blog posts

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