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DBMS > Faircom DB vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Data Explorer vs. Realm vs. searchxml

Vergleich der Systemeigenschaften Faircom DB vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Data Explorer vs. Realm vs. searchxml

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFaircom DB infoformerly c-treeACE  Xaus Vergleich ausschliessenMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRealm  Xaus Vergleich ausschliessensearchxml  Xaus Vergleich ausschliessen
KurzbeschreibungNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Globally distributed, horizontally scalable, multi-model database serviceFully managed big data interactive analytics platformA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataDBMS for structured and unstructured content wrapped with an application server
Primäres DatenbankmodellKey-Value Store
Relational DBMS
Document Store
Graph DBMS
Key-Value Store
Wide Column Store
Relational DBMS infocolumn orientedDocument StoreNative XML DBMS
Suchmaschine
Sekundäre DatenbankmodelleSpatial 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
Suchmaschine 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 infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,29
Rang#304  Overall
#43  Key-Value Stores
#136  Relational DBMS
Punkte27,71
Rang#27  Overall
#4  Document Stores
#2  Graph DBMS
#3  Key-Value Stores
#3  Wide Column Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte7,41
Rang#52  Overall
#8  Document Stores
Punkte0,03
Rang#390  Overall
#7  Native XML DBMS
#24  Suchmaschinen
Websitewww.faircom.com/­products/­faircom-dbazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­services/­data-explorerrealm.iowww.searchxml.net/­category/­products
Technische Dokumentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmllearn.microsoft.com/­azure/­cosmos-dbdocs.microsoft.com/­en-us/­azure/­data-explorerrealm.io/­docswww.searchxml.net/­support/­handouts
EntwicklerFairCom CorporationMicrosoftMicrosoftRealm, acquired by MongoDB in May 2019informationpartners gmbh
Erscheinungsjahr19792014201920142015
Aktuelle VersionV12, November 2020cloud service with continuous releases1.0
Lizenz infoCommercial or Open Sourcekommerziell infoRestricted, free version availablekommerziellkommerziellOpen Sourcekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjajaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheANSI C, C++C++
Server BetriebssystemeAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
gehostetgehostetAndroid
Backend: serverlos
iOS
Windows
Windows
Datenschemaschema free, schema optional, schema required, partial schema,schemafreiFixed schema with schema-less datatypes (dynamic)jaschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, ANSI Standard SQL Types, JSON, typed binary structuresja infoJSON typesja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinja
Sekundärindizesjaja infoAll properties auto-indexed by defaultall fields are automatically indexedjaja
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsSQL-like query languageKusto Query Language (KQL), SQL subsetneinnein
APIs und andere ZugriffskonzepteADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Unterstützte Programmiersprachen.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++ infomost other programming languages supported via APIs
Server-seitige Scripts infoStored Proceduresja info.Net, JavaScript, C/C++JavaScriptYes, possible languages: KQL, Python, Rnein inforuns within the applications so server-side scripts are unnecessaryja infoon the application server
TriggersjaJavaScriptja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infoChange Listenersnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infoImplizit im Cloud ServiceSharding infoImplicit feature of the cloud servicekeinekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).ja infoImplizit im Cloud Serviceja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keineja infosychronisation to multiple collections
MapReduce infoBietet ein API für Map/Reduce Operationenneinwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*Spark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationentunable from ACID to Eventually ConsistentMulti-item ACID transactions with snapshot isolation within a partitionneinACIDMehrere Lese-, ein Schreibprozess
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der DatenYes, tunable from durable to delayed durability to in-memoryjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja infoIn-Memory realmnein
Berechtigungskonzept infoZugriffskontrolleFine grained access rights according to SQL-standard with additional protections for filesZugriffsrechte bis auf item level einstellbarAzure Active Directory AuthenticationjaDomain, group and role-based access control at the document level and for application services

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Weitere Ressourcen
Faircom DB infoformerly c-treeACEMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Data ExplorerRealmsearchxml
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