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DBMS > AnzoGraph DB vs. Google Cloud Bigtable vs. Oracle

System Properties Comparison AnzoGraph DB vs. Google Cloud Bigtable vs. Oracle

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Widely used RDBMS
Primary database modelGraph DBMS
RDF store
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#297  Overall
#24  Graph DBMS
#14  RDF stores
Score4.16
Rank#90  Overall
#13  Key-value stores
#8  Wide column stores
Score1241.45
Rank#1  Overall
#1  Relational DBMS
Websitecambridgesemantics.com/­anzographcloud.google.com/­bigtablewww.oracle.com/­database
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcloud.google.com/­bigtable/­docsdocs.oracle.com/­en/­database
DeveloperCambridge SemanticsGoogleOracle
Initial release201820151980
Current release2.3, January 202121c, January 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemsLinuxhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or datenoyes
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.nonoyes
Secondary indexesnonoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyes infowith proprietary extensions
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC++
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoPL/SQL infoalso stored procedures in Java possible
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesno infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACID infoisolation level can be parameterized
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.yesnoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
AnzoGraph DBGoogle Cloud BigtableOracle
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