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DBMS > AnzoGraph DB vs. FatDB vs. PostgreSQL

System Properties Comparison AnzoGraph DB vs. FatDB vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonFatDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA .NET NoSQL DBMS that can integrate with and extend SQL Server.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#284  Overall
#24  Graph DBMS
#14  RDF stores
Score553.52
Rank#4  Overall
#4  Relational DBMS
Websitewww.cambridgesemantics.com/­anzographwww.postgresql.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.postgresql.org/­docs
DeveloperCambridge SemanticsFatCloudPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201820121989 info1989: Postgres, 1996: PostgreSQL
Current release2.2, August 202013.2 , February 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageC#C
Server operating systemsLinuxWindowsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyes
Typing infopredefined data types such as float or dateyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.no infoVia inetgration in SQL Serveryes infostandard with numerous extensions
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
Python
C#.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infovia applicationsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes infovia applicationsyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factorSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standard
More information provided by the system vendor
AnzoGraph DBFatDBPostgreSQL
Specific characteristicsAnzoGraph DB is a massively parallel processing (MPP) native graph database built...
» more
Competitive advantagesAnzoGraph DB’s flexible data model and analytical capabilities not only let you load...
» more
Typical application scenariosDevelopers can use AnzoGraph DB to build and execute data warehouse-style BI analytics...
» more
Key customersAnzograph DB has customers in biotech, pharma, financial services and other verticals.
» more
Licensing and pricing modelsAnzoGraph DB is offered in a free edition , free for commercial use for workloads...
» more

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More resources
AnzoGraph DBFatDBPostgreSQL
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Recent citations in the news

The 7 Best Graph Databases to Consider for 2021
29 March 2021, Solutions Review

AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

Cambridge Semantics Announces Major Upgrades to Its Award-Winning AnzoGraph® DB, Including Free Edition for Commercial Use
23 January 2020, Business Wire

Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access
23 January 2020, Solutions Review

Cambridge Semantics Releases 2019 Benchmark Report Showcasing How Graph Analytics Database, AnzoGraph, Complements Graph Transactional Databases
24 January 2019, Business Wire

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