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DBMS > AllegroGraph vs. Microsoft SQL Server vs. Sphinx

System Properties Comparison AllegroGraph vs. Microsoft SQL Server vs. Sphinx

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSMicrosofts relational DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.01
Rank#167  Overall
#25  Document stores
#14  Graph DBMS
#7  RDF stores
Score1062.76
Rank#3  Overall
#3  Relational DBMS
Score6.47
Rank#59  Overall
#7  Search engines
Websiteallegrograph.comwww.microsoft.com/­en-us/­sql-serversphinxsearch.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.microsoft.com/­en-US/­sql/­sql-serversphinxsearch.com/­docs
DeveloperFranz Inc.MicrosoftSphinx Technologies Inc.
Initial release200419892001
Current release7.0.0, April 2020SQL Server 2019, November 20193.2.1, January 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial inforestricted free version is availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsLinux
OS X
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesno
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 possibleyes
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSPARQL is used as query languageyesSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeswith Federationtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardno
More information provided by the system vendor
AllegroGraphMicrosoft SQL ServerSphinx
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

Connected Data London – The Future of AI in the Enterprise
3 September 2020

Using Microsoft Power BI with AllegroGraph
19 August 2020

Franz Inc. Named an AI 50 Company by KMWorld
18 August 2020

Knowledge graphs enhance customer experience through speed and accuracy
10 July 2020

AllegroGraph Named to 100 Companies That Matter Most in Data
22 June 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphMicrosoft SQL ServerSphinx
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Conferences and events

Enterprise Knowledge Graphs, Connected-Data.London
Webinar, 23 September 2020 (finished)

Recent citations in the news

Franz Inc. to Present at The Global Graph Summit and Data Day Texas 2020
10 January 2020, PR Web

AllegroGraph Named to 100 Companies That Matter Most in Data
23 June 2020, PR Web

AllegroGraph v7 Powers First Distributed Semantic Knowledge Graph Solution with Federated-Sharding
26 May 2020, Business Wire

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