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DBMS > AllegroGraph vs. Google BigQuery vs. IBM Db2 warehouse vs. Ingres vs. SWC-DB

System Properties Comparison AllegroGraph vs. Google BigQuery vs. IBM Db2 warehouse vs. Ingres vs. SWC-DB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonIngres  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSLarge scale data warehouse service with append-only tablesCloud-based data warehousing serviceWell established RDBMSA high performance, scalable Wide Column DBMS
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSRelational DBMSWide column store
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteallegrograph.comcloud.google.com/­bigquerywww.ibm.com/­products/­db2/­warehousewww.actian.com/­databases/­ingresgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcloud.google.com/­bigquery/­docsdocs.actian.com/­ingres
DeveloperFranz Inc.GoogleIBMActian CorporationAlex Kashirin
Initial release2004201020141974 infooriginally developed at University Berkely in early 1970s2020
Current release8.0, December 202311.2, May 20220.5, April 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemsLinux
OS X
Windows
hostedhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyes infoRDF schemasyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 possiblenono infoImport/export of XML data possibleno infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languageyesyesyesSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP/JSON API.NET Client API
JDBC
ODBC
OLE DB
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Proprietary protocol
Thrift
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions infoin JavaScriptPL/SQL, SQL PLyesno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesIngres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphGoogle BigQueryIBM Db2 warehouse infoformerly named IBM dashDBIngresSWC-DB infoSuper Wide Column Database
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
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