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DBMS > AllegroGraph vs. Google BigQuery vs. Linter vs. Microsoft SQL Server

System Properties Comparison AllegroGraph vs. Google BigQuery vs. Linter vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSLarge scale data warehouse service with append-only tablesRDBMS for high security requirementsMicrosofts flagship relational DBMS
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.16
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score0.10
Rank#350  Overall
#153  Relational DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Websiteallegrograph.comcloud.google.com/­bigquerylinter.ruwww.microsoft.com/­en-us/­sql-server
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcloud.google.com/­bigquery/­docslearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperFranz Inc.Googlerelex.ruMicrosoft
Initial release2004201019901989
Current release8.0, December 2023SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++
Server operating systemsLinux
OS X
Windows
hostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Windows
Data schemeyes infoRDF schemasyesyesyes
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 possiblenonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languageyesyesyes
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP/JSON APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions infoin JavaScriptyes infoproprietary syntax with the possibility to convert from PL/SQLTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeswith Federationnonenonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate 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
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.nonoyes
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 BigQueryLinterMicrosoft SQL Server
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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