DBMS > GraphDB vs. SAP HANA vs. Stardog vs. VoltDB vs. YugabyteDB

System Properties Comparison GraphDB vs. SAP HANA vs. Stardog vs. VoltDB vs. YugabyteDB

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

Distributed In-Memory NewSQL RDBMS info

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

High-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.

Primary database model

Secondary database models

Document store
Graph DBMS info

with SAP Hana, Enterprise Edition

Document store
Wide column store

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

Score	1.25
Rank	#140	Overall
	#9	Graph DBMS
	#5	RDF stores

Score	50.82
Rank	#19	Overall
	#12	Relational DBMS

Score	1.15
Rank	#145	Overall
	#11	Graph DBMS
	#6	RDF stores

Score	1.57
Rank	#127	Overall
	#62	Relational DBMS

Score	0.88
Rank	#166	Overall
	#81	Relational DBMS

Website

graphdb.ontotext.com

www.sap.com/products/hana.html

www.stardog.com

www.voltdb.com

www.yugabyte.com

Technical documentation

graphdb.ontotext.com/documentation

help.sap.com/hana

www.stardog.com/docs

docs.voltdb.com

docs.yugabyte.com
github.com/yugabyte/yugabyte-db

Developer

Ontotext

SAP

Stardog-Union

VoltDB Inc.

Yugabyte Inc.

Initial release

2000

2010

2017

Current release

8.8, January 2019

2.0 SPS04, April 2019

7.3.0, May 2020

9.0, April 2019

2.1.2, March 2020

License

Commercial or Open Source

commercial info

limited edition free

commercial

commercial info

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

Open Source info

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

Open Source info

Apache 2.0

Cloud-based only info

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) info

Database as a Service

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

Implementation language

Java

Java, C++

C and C++

Server operating systems

All OS with a Java VM
Linux
OS X
Windows

Appliance or cloud-service

Linux
macOS
Windows

Linux
OS X info

for development

Linux
OS X

Data scheme

schema-free and OWL/RDFS-schema support

yes

schema-free and OWL/RDFS-schema support

yes

depending on used data model

Typing

predefined data types such as float or date

yes

XML support info

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

yes

SQL

Support of SQL

SPARQL is used as query language

yes

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

yes

only a subset of SQL 99

yes, PostgreSQL compatible

APIs and other access methods

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

JDBC
ODBC

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

Java API
JDBC
RESTful HTTP/JSON API

YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language

Supported programming languages

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

.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby

C#
C++
Erlang info

not officially supported
Go
Java
JavaScript info

Node.js
PHP
Python

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

Server-side scripts info

Stored procedures

Java Server Plugin

SQLScript, R

user defined functions and aggregates, HTTP Server extensions in Java

Java

yes

sql, plpgsql, C

Triggers

yes

via event handlers

yes

Partitioning methods info

Methods for storing different data on different nodes

none

yes

none

Sharding

Hash and Range Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

Master-master replication

yes

Master-master replication in HA-Cluster

Master-master replication
Master-slave replication

Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

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

Strong consistency on writes and tunable consistency on reads

Foreign keys info

Referential integrity

yes

Constraint checking

yes

relationships in graphs

FOREIGN KEY constraints are not supported

yes

Transaction concepts info

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

ACID

Transactions are executed single-threaded within stored procedures

Distributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.

Concurrency info

Support for concurrent manipulation of data

yes

Data access is serialized by the server

yes

Durability info

Support for making data persistent

yes

Snapshots and command logging

yes

based on RocksDB

In-memory capabilities info

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

yes

User concepts info

Access control

yes

Access rights for users and roles

Users and roles with access to stored procedures

yes

More information provided by the system vendor

Specific characteristics

GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more

Stardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...
» more

Gain Developer Agility Leverage full power of PostgreSQL-compatible SQL and distributed...
» more

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

YugabyteDB is a distributed ACID-compliant database that brings together three must-have...
» 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...
» more

YugabyteDB is a good fit for fast-growing, cloud native applications that need to...
» more

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...
» more

Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more

Licensing and pricing models

GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more

A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more

YugabyteDB is a 100% open source project licensed under the permissive Apache 2.0...
» more

News

On the Hunt for Patterns: from Hippocrates to Supercomputers
18 May 2020

Knowledge Graph Conference 2020 Recap: Knowledge Graphs Are Getting Into the Limelight
15 May 2020

Return of the Jedi: Ontotext Platform Metamorphosis
21 April 2020

GraphDB Empowers Scientific Projects to Fight COVID-19 and Publish Knowledge Graphs
15 April 2020

Ontotext’s GraphDB Builds a Thriving Community of Expert Followers
2 April 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.