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DBMS > AllegroGraph vs. Google Cloud Spanner vs. Netezza

System Properties Comparison AllegroGraph vs. Google Cloud Spanner vs. Netezza

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#199  Overall
#34  Document stores
#18  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score3.37
Rank#97  Overall
#50  Relational DBMS
Score11.20
Rank#46  Overall
#29  Relational DBMS
Websiteallegrograph.comcloud.google.com/­spannerwww.ibm.com/­products/­netezza
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcloud.google.com/­spanner/­docs
DeveloperFranz Inc.GoogleIBM
Initial release200420172000
Current release8.0, December 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial
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.
Server operating systemsLinux
OS X
Windows
hostedLinux infoincluded in appliance
Data schemeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 possibleno
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyes infoQuery statements complying to ANSI 2011yes
APIs and other access methodsRESTful HTTP API
SPARQL
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication with 3 replicas for regional instances.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACID
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.nono
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)Users with fine-grained authorization concept
More information provided by the system vendor
AllegroGraphGoogle Cloud SpannerNetezza infoAlso called PureData System for Analytics by IBM
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

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9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

The New Stack Features AllegroGraph v8
2 January 2024

Knowledge Graph Technology Showcase Honest Review: AllegroGraph
2 January 2024

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More resources
AllegroGraphGoogle Cloud SpannerNetezza infoAlso called PureData System for Analytics by IBM
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