DBMS > AlaSQL vs. HyperSQL vs. LokiJS vs. NCache vs. TerminusDB

System Properties Comparison AlaSQL vs. HyperSQL vs. LokiJS vs. NCache vs. TerminusDB

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

In-memory JavaScript DBMS

Open-Source and Enterprise in-memory Key-Value Store

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Primary database model

Document store
Relational DBMS

Secondary database models

Document store
Search engine

Using distributed Lucene

Document store
RDF store

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

Score	0.49
Rank	#259	Overall
	#40	Document stores
	#120	Relational DBMS

Score	3.90
Rank	#85	Overall
	#46	Relational DBMS

Score	0.48
Rank	#262	Overall
	#42	Document stores

Score	0.98
Rank	#196	Overall
	#29	Key-value stores

Score	0.22
Rank	#323	Overall
	#28	Graph DBMS

Website

alasql.org

hsqldb.org

github.com/techfort/LokiJS

www.alachisoft.com/ncache

terminusdb.com

Technical documentation

github.com/AlaSQL/alasql

hsqldb.org/web/hsqlDocsFrame.html

techfort.github.io/LokiJS

www.alachisoft.com/resources/docs

terminusdb.github.io/terminusdb/#

Developer

Andrey Gershun & Mathias R. Wulff

Alachisoft

DataChemist Ltd.

Initial release

2014

2001

2014

2005

2018

Current release

2.7.2, June 2023

5.3.3, April 2024

11.0.0, January 2023

License

Commercial or Open Source

Open Source

MIT-License

Open Source

based on BSD license

Open Source

Enterprise Edition available

Open Source

GPL V3

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

Java

JavaScript

C#, .NET, .NET Core, Java

Prolog, Rust

Server operating systems

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

All OS with a Java VM

Embedded (into Java applications) and Client-Server operating modes

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

Linux
Windows

Linux

Data scheme

schema-free

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

partial

Supported data types are Lists, Queues, Hashsets, Dictionary and Counter

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

via views

yes

SQL

Support of SQL

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

yes

SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.

SQL-like query language (WOQL)

APIs and other access methods

JavaScript API

HTTP API

JDBC via HTTP
JDBC
ODBC

JavaScript API

IDistributedCache
JCache
LINQ
Proprietary native API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

JavaScript

All languages supporting JDBC/ODBC
Java

JavaScript

.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala

JavaScript
Python

Server-side scripts

Stored procedures

Java, SQL

View functions in JavaScript

support for stored procedures with SQL-Server CLR

yes

Triggers

yes

Notifications

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes, with selectable consistency level

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

none

Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology

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

atomic operations within a single collection possible

optimistic locking and pessimistic locking

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

Serialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.

yes

in-memory journaling

In-memory capabilities

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Authentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)

Role-based access control

More information provided by the system vendor

Specific characteristics

NCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more

Competitive advantages

NCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more

Typical application scenarios

NCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more

Key customers

Bank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more

Market metrics

Market Leader in .NET Distributed Caching since 2005.
» more

Licensing and pricing models

NCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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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

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