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DBMS > AlaSQL vs. Graph Engine vs. HugeGraph vs. Lovefield vs. SQL.JS

System Properties Comparison AlaSQL vs. Graph Engine vs. HugeGraph vs. Lovefield vs. SQL.JS

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

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

A fast-speed and highly-scalable Graph DBMS

Embeddable relational database for web apps written in pure JavaScript

Port of SQLite to JavaScript

Primary database model

Document store
Relational DBMS

Graph DBMS
Key-value store

Relational DBMS

Relational DBMS

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

Score	0.46
Rank	#260	Overall
	#40	Document stores
	#121	Relational DBMS

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

Score	0.13
Rank	#336	Overall
	#32	Graph DBMS

Score	0.29
Rank	#293	Overall
	#133	Relational DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

www.graphengine.io

github.com/hugegraph
hugegraph.apache.org

google.github.io/lovefield

Technical documentation

github.com/AlaSQL/alasql

www.graphengine.io/docs/manual

hugegraph.apache.org/docs

github.com/google/lovefield/blob/master/docs/spec_index.md

sql.js.org/documentation/index.html

Developer

Andrey Gershun & Mathias R. Wulff

Microsoft

Baidu

Google

Alon Zakai

enhancements implemented by others

Initial release

2014

2010

2018

2014

2012

Current release

0.9

2.1.12, February 2017

License

Commercial or Open Source

Open Source

MIT-License

Open Source

MIT License

Open Source

Apache Version 2.0

Open Source

Apache 2.0

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

JavaScript

.NET and C

Java

JavaScript

JavaScript

Server operating systems

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

.NET

Linux
macOS
Unix

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

tested with Chrome, Firefox, IE, Safari

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

Data scheme

schema-free

yes

yes

yes

yes

Typing

predefined data types such as float or date

no

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

no

no

no

Secondary indexes

no

yes

also supports composite index and range index

yes

SQL

Support of SQL

Close to SQL99, but no user access control, stored procedures and host language bindings.

no

no

SQL-like query language

via JavaScript builder pattern

yes

SQL-92 is not fully supported

APIs and other access methods

JavaScript API

RESTful HTTP API

Java API
RESTful HTTP API
TinkerPop Gremlin

JavaScript API

Supported programming languages

JavaScript

C#
C++
F#
Visual Basic

Groovy
Java
Python

JavaScript

JavaScript

Server-side scripts

Stored procedures

no

yes

asynchronous Gremlin script jobs

no

no

Triggers

yes

no

no

Using read-only observers

no

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

yes

depending on used storage backend, e.g. Cassandra and HBase

none

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

depending on used storage backend, e.g. Cassandra and HBase

none

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

via hugegraph-spark

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency

none

Foreign keys

Referential integrity

yes

no

yes

edges in graph

yes

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

no

ACID

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

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

yes

yes, by using IndexedDB or the cloud service Firebase Realtime Database

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

yes

yes

yes

using MemoryDB

yes

User concepts

Access control

no

Users, roles and permissions

no

no

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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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