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DBMS > AnzoGraph DB vs. DataFS vs. HBase vs. Oracle NoSQL

System Properties Comparison AnzoGraph DB vs. DataFS vs. HBase vs. Oracle NoSQL

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDataFS  Xexclude from comparisonHBase  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Wide-column store based on Apache Hadoop and on concepts of BigTableA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelGraph DBMS
RDF store
Object oriented DBMSWide column storeDocument store
Key-value store
Relational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Websitecambridgesemantics.com/­anzographnewdatabase.comhbase.apache.orgwww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdev.mobiland.com/­Overview.xsphbase.apache.org/­book.htmldocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperCambridge SemanticsMobiland AGApache Software Foundation infoApache top-level project, originally developed by PowersetOracle
Initial release2018201820082011
Current release2.3, January 20211.1.263, October 20222.3.4, January 202123.3, December 2023
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache version 2Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinuxWindowsLinux
Unix
Windows infousing Cygwin
Linux
Solaris SPARC/x86
Data schemeSchema-free and OWL/RDFS-schema supportClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-free, schema definition possibleSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROoptional
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.nononono
Secondary indexesnononoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoSQL-like DML and DDL statements
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.NET Client API
Proprietary client DLL
WinRT client
Java API
RESTful HTTP API
Thrift
RESTful HTTP API
Supported programming languagesC++
Java
Python
.Net
C
C#
C++
VB.Net
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoCoprocessors in Javano
Triggersnono, except callback-events from server when changes happenedyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingProprietary Sharding systemShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
Electable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integrityno infonot needed in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)configurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infooff heap cache
User concepts infoAccess controlAccess rights for users and rolesWindows-ProfileAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles

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More resources
AnzoGraph DBDataFSHBaseOracle NoSQL
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