DBMS > Atos Standard Common Repository vs. GraphDB vs. TinkerGraph

System Properties Comparison Atos Standard Common Repository vs. GraphDB vs. TinkerGraph

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Editorial information provided by DB-Engines

Name

This system has been discontinued and will be removed from the DB-Engines ranking.

Description

Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks

Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.

A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API

Primary database model

Document store
Key-value store

Graph DBMS
RDF store

Graph DBMS

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

Score	2.24
Rank	#108	Overall
	#6	Graph DBMS
	#4	RDF stores

Score	0.15
Rank	#298	Overall
	#28	Graph DBMS

Website

atos.net/en/convergence-creators/portfolio/standard-common-repository

www.ontotext.com

tinkerpop.apache.org/docs/current/reference/#tinkergraph-gremlin

Technical documentation

graphdb.ontotext.com/documentation

Developer

Atos Convergence Creators

Ontotext

Initial release

2016

2000

2009

Current release

1703

9.6, February 2021

License

Commercial or Open Source

commercial

Some plugins of GraphDB Workbench are open sourced

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

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

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Server operating systems

Linux

All OS with a Java VM
Linux
OS X
Windows

Data scheme

Schema and schema-less with LDAP views

schema-free and OWL/RDFS-schema support; RDF shapes

schema-free

Typing

predefined data types such as float or date

optional

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

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

SQL

Support of SQL

stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC

APIs and other access methods

LDAP

GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1

TinkerPop 3

Supported programming languages

All languages with LDAP bindings

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

Groovy
Java

Server-side scripts

Stored procedures

well-defined plugin interfaces; JavaScript server-side extensibility

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

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

none

Foreign keys

Referential integrity

yes

Constraint checking

yes

Relationships in graphs

Transaction concepts

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

Atomic execution of specific operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optional

In-memory capabilities

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

yes

User concepts

Access control

LDAP bind authentication

Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.

More information provided by the system vendor

Specific characteristics

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

Competitive advantages

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

Typical application scenarios

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

Key customers

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

Market metrics

GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more

Licensing and pricing models

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

Conferences and events

more DBMS events

Accelerated R&D with a FAIR Data Fabric in Life Sciences
Webinar, 7am PDT / 10am EDT / 5pm CEST / 6pm EEST, 14 April 2021

Finished events

Data Virtualization with GraphDB
Webinar, 4pm GMT / 5pm CEST / 6pm EET / 10am EST / 7am PST, 4 February 2021 (finished)

Generate Value from Your Knowledge Graph in Days
11am EST | 4pm GMT | 5pm CET, 4 March 2021 (finished)

Recent citations in the news

Ontotext GraphDB 9.4 Enables SQL Access to Knowledge Graphs and Visual Mapping of Tabular Data to RDF
11 September 2020, PRNewswire

eccenca and Ontotext Partner to Advance Enterprise Data Management
3 February 2021, AiThority

Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
30 April 2020, PRNewswire

Johnson Controls Selects Ontotext's GraphDB for the New Version of Metasys Building Automation System
18 November 2020, PRNewswire

GraphDB 9.5 Offers Data Virtualization From Tables to Graphs and Back
9 December 2020, PRNewswire

provided by Google News

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

Gremlin, a Language for Working with Graphs
15 January 2010, InfoQ.com

provided by Google News

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