DBMS > Dgraph vs. LokiJS vs. NCache vs. NuoDB vs. searchxml

System Properties Comparison Dgraph vs. LokiJS vs. NCache vs. NuoDB vs. searchxml

Editorial information provided by DB-Engines

Name

Description

Distributed and scalable native Graph DBMS

In-memory JavaScript DBMS

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

NuoDB is a webscale distributed database that supports SQL and ACID transactions

DBMS for structured and unstructured content wrapped with an application server

Primary database model

Native XML DBMS
Search engine

Secondary database models

Document store
Search engine

Using distributed Lucene

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

Score	1.45
Rank	#156	Overall
	#15	Graph DBMS

Score	0.43
Rank	#264	Overall
	#42	Document stores

Score	0.94
Rank	#195	Overall
	#29	Key-value stores

Score	0.89
Rank	#198	Overall
	#92	Relational DBMS

Score	0.00
Rank	#383	Overall
	#7	Native XML DBMS
	#25	Search engines

Website

dgraph.io

github.com/techfort/LokiJS

www.alachisoft.com/ncache

www.3ds.com/nuodb-distributed-sql-database

www.searchxml.net/category/products

Technical documentation

dgraph.io/docs

techfort.github.io/LokiJS

www.alachisoft.com/resources/docs

doc.nuodb.com

www.searchxml.net/support/handouts

Developer

Dgraph Labs, Inc.

Alachisoft

Dassault Systèmes

originally NuoDB, Inc.

informationpartners gmbh

Initial release

2016

2014

2005

2013

2015

Current release

5.3.3, April 2024

1.0

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Enterprise Edition available

commercial

limited edition free

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

C#, .NET, .NET Core, Java

C++

Server operating systems

Linux
OS X
Windows

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

Linux
Windows

hosted

Amazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows

Windows

Data scheme

schema-free

yes

schema-free

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.

yes

Secondary indexes

yes

via views

yes

SQL

Support of SQL

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

yes

APIs and other access methods

GraphQL query language
gRPC (using protocol buffers) API
HTTP API

JavaScript API

IDistributedCache
JCache
LINQ
Proprietary native API

ADO.NET
JDBC
ODBC

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

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

JavaScript

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

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

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

View functions in JavaScript

support for stored procedures with SQL-Server CLR

Java, SQL

yes

on the application server

Triggers

yes

Notifications

yes

Partitioning methods

Methods for storing different data on different nodes

yes

none

yes

data is dynamically stored/cached on the nodes where it is read/written

none

Replication methods

Methods for redundantly storing data on multiple nodes

Synchronous replication via Raft

none

yes, with selectable consistency level

yes

Managed transparently by NuoDB

yes

sychronisation to multiple collections

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

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

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

atomic operations within a single collection possible

optimistic locking and pessimistic locking

ACID

tunable commit protocol

multiple readers, single writer

Concurrency

Support for concurrent manipulation of data

yes

MVCC

yes

Durability

Support for making data persistent

yes

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

yes

In-memory capabilities

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

yes

Temporary table

User concepts

Access control

Planned for future releases

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

Standard SQL roles/ privileges, Administrative Users

Domain, group and role-based access control at the document level and for application services

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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