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DBMS > Ignite vs. Microsoft Azure Data Explorer vs. Microsoft SQL Server vs. TerminusDB vs. TypeDB

Vergleich der Systemeigenschaften Ignite vs. Microsoft Azure Data Explorer vs. Microsoft SQL Server vs. TerminusDB vs. TypeDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameIgnite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMicrosoft SQL Server  Xaus Vergleich ausschliessenTerminusDB infoformer name was DataChemist  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessen
KurzbeschreibungApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Fully managed big data interactive analytics platformRelationales DBMS von MicrosoftScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primäres DatenbankmodellKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedRelational DBMSGraph DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Sekundäre DatenbankmodelleDocument 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
Document Store
Graph DBMS
Spatial DBMS
Document Store
RDF Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte3,16
Rang#96  Overall
#15  Key-Value Stores
#49  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte824,29
Rang#3  Overall
#3  Relational DBMS
Punkte0,17
Rang#325  Overall
#29  Graph DBMS
Punkte0,65
Rang#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websiteignite.apache.orgazure.microsoft.com/­services/­data-explorerwww.microsoft.com/­en-us/­sql-serverterminusdb.comtypedb.com
Technische Dokumentationapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerlearn.microsoft.com/­en-US/­sql/­sql-serverterminusdb.github.io/­terminusdb/­#typedb.com/­docs
EntwicklerApache Software FoundationMicrosoftMicrosoftDataChemist Ltd.Vaticle
Erscheinungsjahr20152019198920182016
Aktuelle VersionApache Ignite 2.6cloud service with continuous releasesSQL Server 2022, November 202211.0.0, Jaenner 20232.26.3, Jaenner 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellkommerziell infoeingeschränkte kostenlose Version verfügbarOpen Source infoGPL V3Open Source infoGPL Version 3, commercial licenses available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++, Java, .NetC++Prolog, RustJava
Server BetriebssystemeLinux
OS X
Solaris
Windows
gehostetLinux
Windows
LinuxLinux
OS X
Windows
DatenschemajaFixed schema with schema-less datatypes (dynamic)jajaja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjajajaneinnein
Sekundärindizesjaall fields are automatically indexedjaja
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subsetjaSQL-like query language (WOQL)nein
APIs und andere ZugriffskonzepteHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Unterstützte ProgrammiersprachenC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
JavaScript
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-seitige Scripts infoStored Proceduresyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, RTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javajanein
Triggersyes (cache interceptors and events)ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjajanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud serviceTabellen können auf mehrere Files aufgeteilt werden (horizontale Partitionierung), sharding möglich (mittels federation)Graph PartitioningSharding infoby using Cassandra
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenyes (replicated cache)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja, aber abhängig von der SQL-Server EditionJournaling StreamsMulti-Source Replikation infoby using Cassandra
MapReduce infoBietet ein API für Map/Reduce Operationenyes (compute grid and hadoop accelerator)Spark connector (open source): github.com/­Azure/­azure-kusto-sparkneinneinja infoby using Apache Kafka and Apache Zookeeper
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinjajanein infosubstituted by the relationship feature
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACIDACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja infoin-memory journalingja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinjanein
Berechtigungskonzept infoZugriffskontrolleSecurity Hooks for custom implementationsAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardRole-based access controlyes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
IgniteMicrosoft Azure Data ExplorerMicrosoft SQL ServerTerminusDB infoformer name was DataChemistTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» mehr
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
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Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» mehr
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
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Weitere Ressourcen
IgniteMicrosoft Azure Data ExplorerMicrosoft SQL ServerTerminusDB infoformer name was DataChemistTypeDB infoformerly named Grakn
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