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DBMS > atoti vs. Citus vs. EXASOL vs. Microsoft Azure Data Explorer vs. TypeDB

Vergleich der Systemeigenschaften atoti vs. Citus vs. EXASOL vs. Microsoft Azure Data Explorer vs. TypeDB

Redaktionelle Informationen bereitgestellt von DB-Engines
Nameatoti  Xaus Vergleich ausschliessenCitus  Xaus Vergleich ausschliessenEXASOL  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessen
KurzbeschreibungAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Fully managed big data interactive analytics platformTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primäres DatenbankmodellObject oriented DBMSRelational DBMSRelational DBMSRelational DBMS infocolumn orientedGraph 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 StoreDocument 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
Punkte0,56
Rang#245  Overall
#10  Object oriented DBMS
Punkte2,21
Rang#118  Overall
#56  Relational DBMS
Punkte1,99
Rang#124  Overall
#58  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,65
Rang#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websiteatoti.iowww.citusdata.comwww.exasol.comazure.microsoft.com/­services/­data-explorertypedb.com
Technische Dokumentationdocs.atoti.iodocs.citusdata.comwww.exasol.com/­resourcesdocs.microsoft.com/­en-us/­azure/­data-explorertypedb.com/­docs
EntwicklerActiveViamExasolMicrosoftVaticle
Erscheinungsjahr2010200020192016
Aktuelle Version8.1, Dezember 2018cloud service with continuous releases2.26.3, Jaenner 2024
Lizenz infoCommercial or Open Sourcekommerziell infofree versions availableOpen Source infoAGPL, commercial license also availablekommerziellkommerziellOpen Source infoGPL Version 3, commercial licenses available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaCJava
Server BetriebssystemeLinuxgehostetLinux
OS X
Windows
DatenschemajajaFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTja infospecific XML type available, but no XML query functionalityneinjanein
Sekundärindizesjajaall fields are automatically indexedja
SQL infoSupport of SQLMultidimensional Expressions (MDX)ja infostandard, with numerous extensionsjaKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
JDBC
ODBC
WebSocket
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Unterstützte Programmiersprachen.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Lua
Python
R
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-seitige Scripts infoStored ProceduresPythonbenutzerdefinierte Funktionen inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.benutzerdefinierte FunktionenYes, possible languages: KQL, Python, Rnein
Triggersjajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding, horizontal partitioningShardingShardingSharding infoImplicit feature of the cloud serviceSharding infoby using Cassandra
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica Replikation infoother methods possible by using 3rd party extensionsja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation infoby using Cassandra
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinja infoHadoop integrationSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja infoby using Apache Kafka and Apache Zookeeper
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjajaneinnein infosubstituted by the relationship feature
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenyes, multi-version concurrency control (MVCC)jajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinjaneinnein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAccess rights for users, groups and roles according to SQL-standardAzure Active Directory Authenticationyes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
atotiCitusEXASOLMicrosoft Azure Data ExplorerTypeDB 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...
» mehr
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...
» mehr

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Weitere Ressourcen
atotiCitusEXASOLMicrosoft Azure Data ExplorerTypeDB infoformerly named Grakn
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