DBMS > Dgraph vs. Fujitsu Enterprise Postgres vs. LokiJS vs. Oracle Coherence vs. SWC-DB

System Properties Comparison Dgraph vs. Fujitsu Enterprise Postgres vs. LokiJS vs. Oracle Coherence vs. SWC-DB

Editorial information provided by DB-Engines

Name

Description

Distributed and scalable native Graph DBMS

Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.

In-memory JavaScript DBMS

Oracles in-memory data grid solution

A high performance, scalable Wide Column DBMS

Primary database model

Secondary database models

Document store
Spatial DBMS

Time Series DBMS

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

Score	1.45
Rank	#156	Overall
	#15	Graph DBMS

Score	0.31
Rank	#285	Overall
	#129	Relational DBMS

Score	0.43
Rank	#264	Overall
	#42	Document stores

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

Score	0.01
Rank	#376	Overall
	#13	Wide column stores

Website

dgraph.io

www.postgresql.fastware.com

github.com/techfort/LokiJS

www.oracle.com/java/coherence

github.com/kashirin-alex/swc-db
www.swcdb.org

Technical documentation

dgraph.io/docs

www.postgresql.fastware.com/product-manuals

techfort.github.io/LokiJS

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

Developer

Dgraph Labs, Inc.

PostgreSQL Global Development Group, Fujitsu Australia Software Technology

Oracle

Alex Kashirin

Initial release

2016

2014

2007

2020

Current release

Fujitsu Enterprise Postgres 14, January 2022

14.1, August 2023

0.5, April 2021

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Open Source

commercial

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

C++

Server operating systems

Linux
OS X
Windows

Linux
Windows

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

All OS with a Java VM

Linux

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

via views

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

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

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

JavaScript API

JCache
JPA
RESTful HTTP API

Proprietary protocol
Thrift

Supported programming languages

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

.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

JavaScript

.Net
C++
Java

C++

Server-side scripts

Stored procedures

user defined functions

View functions in JavaScript

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

yes

partitioning by range, list and by hash

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Synchronous replication via Raft

Source-replica replication

none

yes, with selectable consistency level

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

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

configurable

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (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

optionally

yes

In-memory capabilities

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

yes

User concepts

Access control

Planned for future releases

fine grained access rights according to SQL-standard

authentification to access the cache via certificates or http basic authentication

More information provided by the system vendor

Specific characteristics

100% compatible with community PostgreSQL
» more

Competitive advantages

Built-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more

Typical application scenarios

Transactional payments applications, reporting and mixed workloads.
» more

Market metrics

Over 30 years experience in database technology. Over 20 years in Postgres development...
» more

Licensing and pricing models

Core based licensing
» 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

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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