DBMS > AlaSQL vs. Graph Engine vs. Lovefield vs. Oracle Coherence

System Properties Comparison AlaSQL vs. Graph Engine vs. Lovefield vs. Oracle Coherence

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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

Embeddable relational database for web apps written in pure JavaScript

Oracles in-memory data grid solution

Primary database model

Document store
Relational DBMS

Graph DBMS
Key-value store

Relational DBMS

Key-value store

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	0.29
Rank	#293	Overall
	#133	Relational DBMS

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Website

alasql.org

www.graphengine.io

google.github.io/lovefield

www.oracle.com/java/coherence

Technical documentation

github.com/AlaSQL/alasql

www.graphengine.io/docs/manual

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

docs.oracle.com/en/middleware/standalone/coherence

Developer

Andrey Gershun & Mathias R. Wulff

Microsoft

Google

Oracle

Initial release

2014

2010

2014

2007

Current release

2.1.12, February 2017

14.1, August 2023

License

Commercial or Open Source

Open Source

MIT-License

Open Source

MIT License

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

JavaScript

.NET and C

JavaScript

Java

Server operating systems

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

.NET

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

tested with Chrome, Firefox, IE, Safari

All OS with a Java VM

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

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

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

SQL-like query language

via JavaScript builder pattern

APIs and other access methods

JavaScript API

RESTful HTTP API

JCache
JPA
RESTful HTTP API

Supported programming languages

JavaScript

C#
C++
F#
Visual Basic

JavaScript

.Net
C++
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Using read-only observers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

configurable

Concurrency

Support for concurrent manipulation of data

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, by using IndexedDB or the cloud service Firebase Realtime Database

yes

optionally

In-memory capabilities

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

yes

using MemoryDB

yes

User concepts

Access control

authentification to access the cache via certificates or http basic authentication

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