DBMS > EJDB vs. GBase vs. Kyligence Enterprise

System Properties Comparison EJDB vs. GBase vs. Kyligence Enterprise

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Editorial information provided by DB-Engines

Name

Description

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

An analytical database for business intelligence with large customers in China.

A distributed analytics engine for big data, built on top of Apache Kylin

Primary database model

Document store

Relational DBMS

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Trend Chart

Score	0.30
Rank	#294	Overall
	#44	Document stores

Score	1.04
Rank	#190	Overall
	#88	Relational DBMS

Score	0.39
Rank	#276	Overall
	#125	Relational DBMS

Website

github.com/Softmotions/ejdb

www.gbase.cn

kyligence.io/kyligence-enterprise

Technical documentation

github.com/Softmotions/ejdb/blob/master/README.md

Developer

Softmotions

Kyligence, Inc.

Initial release

2012

2016

Current release

GBase 8a

License

Commercial or Open Source

Open Source

GPLv2

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

server-less

Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

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

ANSI SQL for queries (using Apache Calcite)

APIs and other access methods

in-process shared library

JDBC
ODBC
RESTful HTTP API

Supported programming languages

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

Server-side scripts

Stored procedures

Triggers

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

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

typically not needed, however similar functionality with collection joins possible

Transaction concepts

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

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

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

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