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DBMS > EsgynDB vs. RDF4J vs. SAP Adaptive Server vs. SQL.JS

System Properties Comparison EsgynDB vs. RDF4J vs. SAP Adaptive Server vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Description

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS

Port of SQLite to JavaScript

Primary database model

Relational DBMS

Relational DBMS

Relational DBMS

Secondary database models

with Boeing's Spatial Query Server

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

Score	0.16
Rank	#329	Overall
	#146	Relational DBMS

Score	0.69
Rank	#230	Overall
	#9	RDF stores

Score	36.31
Rank	#25	Overall
	#17	Relational DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

www.sap.com/products/technology-platform/sybase-ase.html

Technical documentation

rdf4j.org/documentation

help.sap.com/docs/SAP_ASE

sql.js.org/documentation/index.html

Developer

Esgyn

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

SAP, Sybase

Alon Zakai

enhancements implemented by others

Initial release

2015

2004

1987

2012

Current release

16.0

License

Commercial or Open Source

commercial

Open Source

Eclipse Distribution License (EDL), v1.0.

commercial

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++, Java

Java

C and C++

JavaScript

Server operating systems

Linux

Linux
OS X
Unix
Windows

AIX
HP-UX
Linux
Solaris
Unix
Windows

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

Data scheme

yes

yes

RDF Schemas

yes

yes

Typing

predefined data types such as float or date

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

Secondary indexes

yes

yes

yes

SQL

Support of SQL

yes

no

yes

yes

SQL-92 is not fully supported

APIs and other access methods

ADO.NET
JDBC
ODBC

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

JavaScript API

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

Java
PHP
Python

C
C++
Cobol
Java
Java
Perl
PHP
Python

JavaScript

Server-side scripts

Stored procedures

Java Stored Procedures

yes

Java and Transact-SQL

no

Triggers

no

yes

yes

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication between multi datacenters

none

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

no

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

yes

yes

yes

Transaction concepts

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

ACID

ACID

Isolation support depends on the API used

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

Durability

Support for making data persistent

yes

yes

in-memory storage is supported as well

yes

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.

no

yes

User concepts

Access control

fine grained access rights according to SQL-standard

no

fine grained access rights according to SQL-standard

no

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More resources

DB-Engines blog posts

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