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DBMS > AllegroGraph vs. Google Cloud Bigtable vs. Oracle

System Properties Comparison AllegroGraph vs. Google Cloud Bigtable vs. Oracle

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSGoogle'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 modelDocument store infowith version 6.5
Graph DBMS
RDF store
Wide column storeRelational DBMS
Secondary database modelsSpatial DBMSDocument 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
Score1.23
Rank#156  Overall
#27  Document stores
#14  Graph DBMS
#7  RDF stores
Score3.63
Rank#91  Overall
#8  Wide column stores
Score1281.74
Rank#1  Overall
#1  Relational DBMS
Websiteallegrograph.comcloud.google.com/­bigtablewww.oracle.com/­database
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcloud.google.com/­bigtable/­docsdocs.oracle.com/­en/­database
DeveloperFranz Inc.GoogleOracle
Initial release200420151980
Current release7.2, October 202119c, February 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial 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 systemsLinux
OS X
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyes infoRDF schemasschema-freeyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyesnoyes
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.no infobulk load of XML files possiblenoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes infowith proprietary extensions
APIs and other access methodsRESTful 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#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
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 proceduresyes infoJavaScript or Common LispnoPL/SQL infoalso stored procedures in Java possible
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Internal 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 methodsnoyesno infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynonoyes
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.nonoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphGoogle Cloud BigtableOracle
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

Franz’s AllegroGraph Name “Best Knowledge Graph” by KMWorld Readers’ Choice
8 November 2021

AllegroGraph v7.2 – Now Available (GNN, Virtual Graphs, Spark, and Kafka)
25 October 2021

Fuse Graph Neural Networks with Semantic Reasoning to Produce Complimentary Predictions
25 September 2021

Essilor’s Knowledge Graph for Global Supply Chain Risk Management
14 September 2021

No-Code Queries Can Accelerate AI and Data Analytics
1 September 2021

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More resources
AllegroGraphGoogle Cloud BigtableOracle
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