DBMS > AnzoGraph DB vs. Atos Standard Common Repository vs. InfinityDB vs. Transwarp Hippo

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

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Name	AnzoGraph DB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	InfinityDB  Xexclude from comparison	Transwarp Hippo  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	A Java embedded Key-Value Store which extends the Java Map interface	Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database model	Graph DBMS RDF store	Document store Key-value store	Key-value store	Vector DBMS
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 0.08 Rank #365   Overall #55   Key-value stores	Score 0.05 Rank #386   Overall #14   Vector DBMS
Website	cambridgesemantics.com/­anzograph	atos.net/en/convergence-creators/portfolio/standard-common-repository	boilerbay.com	www.transwarp.cn/­en/­subproduct/­hippo
Technical documentation	docs.cambridgesemantics.com/­anzograph/­userdoc/­home.htm		boilerbay.com/­infinitydb/­manual
Developer	Cambridge Semantics	Atos Convergence Creators	Boiler Bay Inc.
Initial release	2018	2016	2002	2023
Current release	2.3, January 2021	1703	4.0	1.0, May 2023
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	Java	C++
Server operating systems	Linux	Linux	All OS with a Java VM	Linux macOS
Data scheme	Schema-free and OWL/RDFS-schema support	Schema and schema-less with LDAP views	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing predefined data types such as float or date		optional	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	Vector, Numeric and String
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	no	no
Secondary indexes	no	yes	no manual creation possible, using inversions based on multi-value capability	no
SQL Support of SQL	SPARQL and SPARQL* as primary query language. Cypher preview.	no	no	no
APIs and other access methods	Apache Mule gRPC JDBC Kafka OData access for BI tools OpenCypher RESTful HTTP API SPARQL	LDAP	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	RESTful HTTP API
Supported programming languages	C++ Java Python	All languages with LDAP bindings	Java	C++ Java Python
Server-side scripts Stored procedures	user defined functions and aggregates	no	no	no
Triggers	no	yes	no	no
Partitioning methods Methods for storing different data on different nodes	Automatic sharding	Sharding cell division	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication in MPP-Cluster	yes	none
MapReduce Offers an API for user-defined Map/Reduce methods	Kerberos/HDFS data loading		no	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 READ-COMMITTED or SERIALIZED	Immediate Consistency
Foreign keys Referential integrity	no not needed in graphs	no	no manual creation possible, using inversions based on multi-value capability	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	ACID Optimistic locking for transactions; no isolation for bulk loads	no
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	yes
User concepts Access control	Access rights for users and roles	LDAP bind authentication	no	Role based access control and fine grained access rights
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More resources
	AnzoGraph DB	Atos Standard Common Repository	InfinityDB	Transwarp Hippo
Recent citations in the news	AnzoGraph review: A graph database for deep analytics 15 April 2019, InfoWorld Cambridge Semantics Unveils AnzoGraph DB with Geospatial Analytics 19 June 2020, Solutions Review 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 provided by Google News	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News

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