DBMS > AnzoGraph DB vs. Atos Standard Common Repository vs. GBase vs. InfinityDB

System Properties Comparison AnzoGraph DB vs. Atos Standard Common Repository vs. GBase vs. InfinityDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	AnzoGraph DB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	GBase  Xexclude from comparison	InfinityDB  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Scalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualization	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.	A Java embedded Key-Value Store which extends the Java Map interface
Primary database model	Graph DBMS RDF store	Document store Key-value store	Relational DBMS	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.29 Rank #303   Overall #25   Graph DBMS #14   RDF stores		Score 1.05 Rank #186   Overall #86   Relational DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores
Website	cambridgesemantics.com/­anzograph	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.gbase.cn	boilerbay.com
Technical documentation	docs.cambridgesemantics.com/­anzograph/­userdoc/­home.htm			boilerbay.com/­infinitydb/­manual
Developer	Cambridge Semantics	Atos Convergence Creators	General Data Technology Co., Ltd.	Boiler Bay Inc.
Initial release	2018	2016	2004	2002
Current release	2.3, January 2021	1703	GBase 8a, GBase 8s, GBase 8c	4.0
License Commercial or Open Source	commercial free trial version available	commercial	commercial	commercial
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		Java	C, Java, Python	Java
Server operating systems	Linux	Linux	Linux	All OS with a Java VM
Data scheme	Schema-free and OWL/RDFS-schema support	Schema and schema-less with LDAP views	yes	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing predefined data types such as float or date		optional	yes	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays
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	yes	yes	no
Secondary indexes	no	yes	yes	no manual creation possible, using inversions based on multi-value capability
SQL Support of SQL	SPARQL and SPARQL* as primary query language. Cypher preview.	no	Standard with numerous extensions	no
APIs and other access methods	Apache Mule gRPC JDBC Kafka OData access for BI tools OpenCypher RESTful HTTP API SPARQL	LDAP	ADO.NET C API JDBC ODBC	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languages	C++ Java Python	All languages with LDAP bindings	C#	Java
Server-side scripts Stored procedures	user defined functions and aggregates	no	user defined functions	no
Triggers	no	yes	yes	no
Partitioning methods Methods for storing different data on different nodes	Automatic sharding	Sharding cell division	horizontal partitioning (by range, list and hash) and vertical partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication in MPP-Cluster	yes	yes	none
MapReduce Offers an API for user-defined Map/Reduce methods	Kerberos/HDFS data loading			no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency in MPP-Cluster	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency READ-COMMITTED or SERIALIZED
Foreign keys Referential integrity	no not needed in graphs	no	yes	no manual creation possible, using inversions based on multi-value capability
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	ACID	ACID Optimistic locking for transactions; no isolation for bulk loads
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes		no
User concepts Access control	Access rights for users and roles	LDAP bind authentication	yes	no
More information provided by the system vendor 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.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	AnzoGraph DB	Atos Standard Common Repository	GBase	InfinityDB
Recent citations in the news	AnzoGraph review: A graph database for deep analytics 15 April 2019, InfoWorld AnzoGraph: A W3C Standards-Based Graph Database | by Jo Stichbury 8 February 2019, Towards Data Science Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access 23 January 2020, Solutions Review Back to the future: Does graph database success hang on query language? 5 March 2018, ZDNet Comparing Graph Databases II. Part 2: ArangoDB, OrientDB, and… | by Sam Bell 20 September 2019, Towards Data Science provided by Google News	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News

Share this page