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DBMS > AllegroGraph vs. Machbase Neo vs. Microsoft Azure Data Explorer vs. OushuDB vs. SAP SQL Anywhere

System Properties Comparison AllegroGraph vs. Machbase Neo vs. Microsoft Azure Data Explorer vs. OushuDB vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOushuDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSTimeSeries DBMS for AIoT and BigDataFully managed big data interactive analytics platformA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMSRelational DBMS infocolumn orientedRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
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
#8  Vector DBMS
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websiteallegrograph.commachbase.comazure.microsoft.com/­services/­data-explorerwww.oushu.com/­product/­oushuDBwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlmachbase.com/­dbmsdocs.microsoft.com/­en-us/­azure/­data-explorerwww.oushu.com/­documentationhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperFranz Inc.MachbaseMicrosoftOushuSAP infoformerly Sybase
Initial release2004201320191992
Current release8.0, December 2023V8.0, August 2023cloud service with continuous releases4.0.1, August 202017, July 2015
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree test version availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
hostedLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyes infoRDF schemasyesFixed schema with schema-less datatypes (dynamic)yesyes
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesyes
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 possiblenoyesyes
Secondary indexesyesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageKusto Query Language (KQL), SQL subsetFull-featured ANSI SQL supportyes
APIs and other access methodsRESTful HTTP API
SPARQL
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnoYes, possible languages: KQL, Python, Ryesyes, in C/C++, Java, .Net or Perl
Triggersyesnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infoImplicit feature of the cloud serviceyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovolatile and lookup tablenoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationsimple password-based access controlAzure Active Directory AuthenticationKerberos, SSL and role based accessfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphMachbase Neo infoFormer name was InfinifluxMicrosoft Azure Data ExplorerOushuDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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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