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DBMS > Datastax Enterprise vs. GBase vs. Microsoft Azure Data Explorer vs. PouchDB vs. Sqrrl

Vergleich der Systemeigenschaften Datastax Enterprise vs. GBase vs. Microsoft Azure Data Explorer vs. PouchDB vs. Sqrrl

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDatastax Enterprise  Xaus Vergleich ausschliessenGBase  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenPouchDB  Xaus Vergleich ausschliessenSqrrl  Xaus Vergleich ausschliessen
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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.An analytical database for business intelligence with large customers in China.Fully managed big data interactive analytics platformJavaScript DBMS mit einem von CouchDB inspirierten APIAdaptable, secure NoSQL built on Apache Accumulo
Primäres DatenbankmodellWide Column StoreRelational DBMSRelational DBMS infocolumn orientedDocument StoreDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
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
Punkte6,31
Rang#57  Overall
#4  Wide Column Stores
Punkte1,04
Rang#190  Overall
#88  Relational DBMS
Punkte5,16
Rang#69  Overall
#37  Relational DBMS
Punkte2,35
Rang#116  Overall
#22  Document Stores
Websitewww.datastax.com/­products/­datastax-enterprisewww.gbase.cnazure.microsoft.com/­services/­data-explorerpouchdb.comsqrrl.com
Technische Dokumentationdocs.datastax.comdocs.microsoft.com/­en-us/­azure/­data-explorerpouchdb.com/­guides
EntwicklerDataStaxMicrosoftApache Software FoundationAmazon infoursprünglich Sqrrl Data, Inc.
Erscheinungsjahr2011201920122012
Aktuelle Version6.8, April 2020GBase 8acloud service with continuous releases7.1.1, Juni 2019
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellOpen Sourcekommerziell
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.
ImplementierungsspracheJavaJavaScriptJava
Server BetriebssystemeLinux
OS X
gehostetServerlos, benötigt eine JavaScript Umgebung (Browser, Node.js)Linux
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)schemafreischemafrei
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-typesneinja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjanein
Sekundärindizesjaall fields are automatically indexedja infoüber Viewsja
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLKusto Query Language (KQL), SQL subsetneinnein
APIs und andere ZugriffskonzeptePropriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
JavaScriptActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-seitige Scripts infoStored ProceduresneinYes, possible languages: KQL, Python, RView Functions in JavaScriptnein
Triggersjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infono "single point of failure"Sharding infoImplicit feature of the cloud serviceSharding infomit couchdb-lounge, einem proxy-basierten Framework für CouchDBSharding infoBasierend auf Hadoop
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenconfigurable replication factor, datacenter aware, advanced replication for edge computingja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation infoauch mit CouchDB Datenbanken
Source-Replica Replikation infoauch mit CouchDB Datenbanken
frei wählbarer Replikationsfaktor infobasierend auf Hadoop
MapReduce infoBietet ein API für Map/Reduce OperationenjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkjaja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infoAtomicity and isolation are supported for single operationsneinneinAtomic updates per row, document, or graph entity
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajaja
Durability infoDauerhafte Speicherung der Datenjajaja infomittels IndexedDB, WebSQL oder LevelDBja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer auf einzelne Objekte definierbarAzure Active Directory AuthenticationneinCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
Weitere Informationen bereitgestellt vom Systemhersteller
Datastax EnterpriseGBaseMicrosoft Azure Data ExplorerPouchDBSqrrl
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...
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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...
» mehr
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 EnterpriseGBaseMicrosoft Azure Data ExplorerPouchDBSqrrl
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