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DBMS > Datastax Enterprise vs. Ignite vs. Microsoft Azure Data Explorer vs. NSDb vs. Spark SQL

Vergleich der Systemeigenschaften Datastax Enterprise vs. Ignite vs. Microsoft Azure Data Explorer vs. NSDb vs. Spark SQL

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDatastax Enterprise  Xaus Vergleich ausschliessenIgnite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNSDb  Xaus Vergleich ausschliessenSpark SQL  Xaus Vergleich ausschliessen
KurzbeschreibungDataStax 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.Apache 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 platformScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpark SQL ist ein Spark-Modul für die Verarbeitung strukturierter Daten
Primäres DatenbankmodellWide Column StoreKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedTime Series DBMSRelational DBMS
Sekundäre DatenbankmodelleDocument 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
Punkte5,93
Rang#56  Overall
#4  Wide Column Stores
Punkte3,11
Rang#96  Overall
#15  Key-Value Stores
#49  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,08
Rang#369  Overall
#40  Time Series DBMS
Punkte18,04
Rang#33  Overall
#20  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseignite.apache.orgazure.microsoft.com/­services/­data-explorernsdb.iospark.apache.org/­sql
Technische Dokumentationdocs.datastax.comapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorernsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.html
EntwicklerDataStaxApache Software FoundationMicrosoftApache Software Foundation
Erscheinungsjahr20112015201920172014
Aktuelle Version6.8, April 2020Apache Ignite 2.6cloud service with continuous releases3.5.0 ( 2.13), September 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache 2.0kommerziellOpen Source infoApache Version 2.0Open Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
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.
ImplementierungsspracheJavaC++, Java, .NetJava, ScalaScala
Server BetriebssystemeLinux
OS X
Linux
OS X
Solaris
Windows
gehostetLinux
macOS
Linux
OS X
Windows
DatenschemaschemafreijaFixed 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-typesyes: int, bigint, decimal, stringja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjajaneinnein
Sekundärindizesjajaall fields are automatically indexedall fields are automatically indexednein
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subsetSQL-like query languageSQL-like DML and DDL statements
APIs und andere ZugriffskonzeptePropriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
gRPC
HTTP REST
WebSocket
JDBC
ODBC
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Java
Scala
Java
Python
R
Scala
Server-seitige Scripts infoStored Proceduresneinyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, Rneinnein
Triggersjayes (cache interceptors and events)ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infono "single point of failure"ShardingSharding infoImplicit feature of the cloud serviceShardingyes, utilizing Spark Core
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenconfigurable replication factor, datacenter aware, advanced replication for edge computingyes (replicated cache)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keine
MapReduce infoBietet ein API für Map/Reduce Operationenjayes (compute grid and hadoop accelerator)Spark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infoAtomicity and isolation are supported for single operationsACIDneinneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der DatenjajajaUsing Apache Luceneja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinnein
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer auf einzelne Objekte definierbarSecurity Hooks for custom implementationsAzure Active Directory Authenticationnein
Weitere Informationen bereitgestellt vom Systemhersteller
Datastax EnterpriseIgniteMicrosoft Azure Data ExplorerNSDbSpark SQL
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
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Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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Licensing and pricing modelsAnnual subscription
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Weitere Ressourcen
Datastax EnterpriseIgniteMicrosoft Azure Data ExplorerNSDbSpark SQL
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