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DBMS > Cubrid vs. LeanXcale vs. NebulaGraph vs. Postgres-XL vs. SQL.JS

System Properties Comparison Cubrid vs. LeanXcale vs. NebulaGraph vs. Postgres-XL vs. SQL.JS

Editorial information provided by DB-Engines

Name

Description

CUBRID is an open-source SQL-based relational database management system with object extensions for OLTP

A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities

A distributed, linear scalable, high perfomant Graph DBMS

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

Port of SQLite to JavaScript

Primary database model

Relational DBMS

Key-value store
Relational DBMS

Relational DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	1.20
Rank	#169	Overall
	#78	Relational DBMS

Score	0.29
Rank	#291	Overall
	#41	Key-value stores
	#132	Relational DBMS

Score	2.14
Rank	#120	Overall
	#10	Graph DBMS

Score	0.49
Rank	#256	Overall
	#117	Relational DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

cubrid.com (korean)
cubrid.org (english)

www.leanxcale.com

github.com/vesoft-inc/nebula
www.nebula-graph.io

www.postgres-xl.org

Technical documentation

cubrid.org/manuals

docs.nebula-graph.io

www.postgres-xl.org/documentation

sql.js.org/documentation/index.html

Developer

CUBRID Corporation, CUBRID Foundation

LeanXcale

Vesoft Inc.

Alon Zakai

enhancements implemented by others

Initial release

2008

2015

2019

2014

since 2012, originally named StormDB

2012

Current release

11.0, January 2021

10 R1, October 2018

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Open Source

Apache Version 2.0 + Common Clause 1.0

Open Source

Mozilla public license

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, C++, Java

C++

C

JavaScript

Server operating systems

Linux
Windows

Linux

Linux
macOS

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

Data scheme

yes

yes

Strong typed schema

yes

yes

Typing

predefined data types such as float or date

yes

yes

yes

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

yes

XML type, but no XML query functionality

no

Secondary indexes

yes

yes

Nebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.

yes

SQL

Support of SQL

yes

yes

through Apache Derby

SQL-like query language

yes

distributed, parallel query execution

yes

SQL-92 is not fully supported

APIs and other access methods

ADO.NET
JDBC
ODBC
OLE DB

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis

ORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

JavaScript API

Supported programming languages

C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

C
Java
Scala

.Net
C++
Go
Java
PHP
Python

.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

JavaScript

Server-side scripts

Stored procedures

Java Stored Procedures

user defined functions

user defined functions

no

Triggers

yes

yes

no

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Causal Clustering using Raft protocol

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

no

no

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency

Immediate Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

yes

yes

yes

Relationships in graphs

yes

yes

Transaction concepts

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

ACID

ACID

ACID

ACID

MVCC

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

yes

Durability

Support for making data persistent

yes

yes

yes

yes

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.

no

yes

yes

no

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Role-based access control

fine grained access rights according to SQL-standard

no

More information provided by the system vendor

Specific characteristics

NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more

Competitive advantages

NebulaGraph boasts the world's only graph database solution that is able to host...
» more

Typical application scenarios

Social networking Fraud detection Knowledge graph Data warehouse management Anti...
» more

Key customers

Companies from a variety of industries have implemented NebulaGraph Database in production,...
» more

Market metrics

At our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more

Licensing and pricing models

NebulaGraph is open source and free to use under Apache 2.0 license.
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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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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