DBMS > GraphDB vs. SAP HANA vs. SiriDB vs. Stardog

System Properties Comparison GraphDB vs. SAP HANA vs. SiriDB vs. Stardog

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Editorial information provided by DB-Engines

Name

Description

Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization support

In-memory, column based data store. Available as appliance or cloud service

Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization

Primary database model

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition

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

Score	2.11
Rank	#121	Overall
	#8	Graph DBMS
	#5	RDF stores

Score	50.87
Rank	#21	Overall
	#13	Relational DBMS

Score	0.04
Rank	#316	Overall
	#28	Time Series DBMS

Score	1.47
Rank	#144	Overall
	#11	Graph DBMS
	#6	RDF stores

Website

graphdb.ontotext.com

www.sap.com/products/hana.html

siridb.net

www.stardog.com

Technical documentation

graphdb.ontotext.com/documentation

help.sap.com/hana

docs.siridb.net

www.stardog.com/docs

Developer

Ontotext

SAP

Transceptor Technology

Stardog-Union

Initial release

2000

2010

2017

2010

Current release

9.4, September 2020

2.0 SPS05 (June 26, 2020), June 2020

7.3.0, May 2020

License

Commercial or Open Source

commercial

limited edition free

commercial

Open Source

MIT License

commercial

60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students

Cloud-based only

Only available as a cloud service

Named S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Server operating systems

All OS with a Java VM
Linux
OS X
Windows

Appliance or cloud-service

Linux

Linux
macOS
Windows

Data scheme

schema-free and OWL/RDFS-schema support

yes

schema-free and OWL/RDFS-schema support

Typing

predefined data types such as float or date

yes

Numeric data

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.

Import/export of XML data possible

Secondary indexes

yes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes

yes

supports real-time indexing in full-text and geospatial

SQL

Support of SQL

SPARQL is used as query language

yes

Yes, compatible with all major SQL variants through dedicated BI/SQL Server

APIs and other access methods

GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1

JDBC
ODBC

HTTP API

GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3

Supported programming languages

.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

C
C++
Go
Python

.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby

Server-side scripts

Stored procedures

Java Server Plugin

SQLScript, R

user defined functions and aggregates, HTTP Server extensions in Java

Triggers

yes

via event handlers

Partitioning methods

Methods for storing different data on different nodes

none

yes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes

Multi-source replication in HA-Cluster

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)

Immediate Consistency

Immediate Consistency in HA-Cluster

Foreign keys

Referential integrity

yes

Constraint checking

yes

relationships in graphs

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

yes

simple rights management via user accounts

Access rights for users and roles

More information provided by the system vendor

Specific characteristics

GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
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Stardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...
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Competitive advantages

GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more

Stardog provides a full featureset to aid in data integration for your complex data....
» more

Typical application scenarios

Metadata enrichment and management, linked open data publishing, semantic inferencing...
» more

Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
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Key customers

BBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more

Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more

Market metrics

GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
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Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
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Licensing and pricing models

GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
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A fully-featured 60-day Trial license is available for those testing Stardog; contact...
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