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DBMS > GBase vs. Google Cloud Bigtable vs. LeanXcale vs. OushuDB vs. SQL.JS

System Properties Comparison GBase vs. Google Cloud Bigtable vs. LeanXcale vs. OushuDB vs. SQL.JS

Editorial information provided by DB-Engines

Name

Description

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

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

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

Port of SQLite to JavaScript

Primary database model

Relational DBMS

Key-value store
Wide column store

Key-value store
Relational DBMS

Relational DBMS

Relational DBMS

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

Score	1.05
Rank	#186	Overall
	#86	Relational DBMS

Score	3.15
Rank	#95	Overall
	#14	Key-value stores
	#8	Wide column stores

Score	0.36
Rank	#280	Overall
	#40	Key-value stores
	#129	Relational DBMS

Score	0.10
Rank	#355	Overall
	#154	Relational DBMS

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Website

cloud.google.com/bigtable

www.leanxcale.com

www.oushu.com/product/oushuDB

Technical documentation

cloud.google.com/bigtable/docs

www.oushu.com/documentation

sql.js.org/documentation/index.html

Developer

General Data Technology Co., Ltd.

Google

LeanXcale

Oushu

Alon Zakai

enhancements implemented by others

Initial release

2004

2015

2015

2012

Current release

GBase 8a, GBase 8s, GBase 8c

4.0.1, August 2020

License

Commercial or Open Source

commercial

commercial

commercial

commercial

Open Source

Cloud-based only

Only available as a cloud service

no

yes

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, Python

JavaScript

Server operating systems

Linux

hosted

Linux

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

Data scheme

yes

schema-free

yes

yes

yes

Typing

predefined data types such as float or date

yes

no

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.

yes

no

no

Secondary indexes

yes

no

yes

SQL

Support of SQL

Standard with numerous extensions

no

yes

through Apache Derby

Full-featured ANSI SQL support

yes

SQL-92 is not fully supported

APIs and other access methods

ADO.NET
C API
JDBC
ODBC

gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

JDBC
ODBC

JavaScript API

Supported programming languages

C#

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

C
Java
Scala

C
C++

JavaScript

Server-side scripts

Stored procedures

user defined functions

no

yes

no

Triggers

yes

no

yes

no

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash) and vertical partitioning

Sharding

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Internal replication in Colossus, and regional replication between two clusters in different zones

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

no

Hadoop integration

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)

Immediate Consistency

none

Foreign keys

Referential integrity

yes

no

yes

yes

Transaction concepts

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

ACID

Atomic single-row operations

ACID

ACID

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

User concepts

Access control

yes

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

Kerberos, SSL and role based access

no

More information provided by the system vendor

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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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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