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DBMS > atoti vs. Citus vs. Datastax Enterprise vs. EXASOL vs. Microsoft Azure Data Explorer

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

Redaktionelle Informationen bereitgestellt von DB-Engines
Nameatoti  Xaus Vergleich ausschliessenCitus  Xaus Vergleich ausschliessenDatastax Enterprise  Xaus Vergleich ausschliessenEXASOL  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  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 PostgreSQLDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Fully managed big data interactive analytics platform
Primäres DatenbankmodellObject oriented DBMSRelational DBMSWide Column StoreRelational DBMSRelational DBMS infocolumn oriented
Sekundäre DatenbankmodelleDocument StoreDocument Store
Graph DBMS
Spatial DBMS
Suchmaschine
Vektor DBMS
Document 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
Punkte5,80
Rang#60  Overall
#4  Wide Column Stores
Punkte1,99
Rang#124  Overall
#58  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websiteatoti.iowww.citusdata.comwww.datastax.com/­products/­datastax-enterprisewww.exasol.comazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdocs.atoti.iodocs.citusdata.comdocs.datastax.comwww.exasol.com/­resourcesdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerActiveViamDataStaxExasolMicrosoft
Erscheinungsjahr2010201120002019
Aktuelle Version8.1, Dezember 20186.8, April 2020cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziell infofree versions availableOpen Source infoAGPL, commercial license also availablekommerziellkommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
ImplementierungsspracheJavaCJava
Server BetriebssystemeLinuxLinux
OS X
gehostet
DatenschemajaschemafreijaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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 functionalityneinneinja
Sekundärindizesjajajaall fields are automatically indexed
SQL infoSupport of SQLMultidimensional Expressions (MDX)ja infostandard, with numerous extensionsSQL-like DML and DDL statements (CQL); Spark SQLjaKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Propriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
.Net
JDBC
ODBC
WebSocket
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte Programmiersprachen.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Lua
Python
R
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored ProceduresPythonbenutzerdefinierte Funktionen inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.neinbenutzerdefinierte FunktionenYes, possible languages: KQL, Python, R
Triggersjajajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding, horizontal partitioningShardingSharding infono "single point of failure"ShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica Replikation infoother methods possible by using 3rd party extensionsconfigurable replication factor, datacenter aware, advanced replication for edge computingja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinjaja infoHadoop integrationSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDnein infoAtomicity and isolation are supported for single operationsACIDnein
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 haltenjaneinjajanein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardZugriffsrechte für Benutzer auf einzelne Objekte definierbarAccess rights for users, groups and roles according to SQL-standardAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
atotiCitusDatastax EnterpriseEXASOLMicrosoft Azure Data Explorer
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» mehr
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» mehr
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» mehr
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» mehr
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» mehr
Licensing and pricing modelsAnnual subscription
» mehr

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Weitere Ressourcen
atotiCitusDatastax EnterpriseEXASOLMicrosoft Azure Data Explorer
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