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DBMS > Amazon Redshift vs. GigaSpaces vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics vs. Vertica

Vergleich der Systemeigenschaften Amazon Redshift vs. GigaSpaces vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Redshift  Xaus Vergleich ausschliessenGigaSpaces  Xaus Vergleich ausschliessenMicrosoft Azure AI Search  Xaus Vergleich ausschliessenMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungLarge scale data warehouse service for use with business intelligence toolsHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsSearch-as-a-service for web and mobile app developmentElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primäres DatenbankmodellRelational DBMSDocument Store
Object oriented DBMS infoValues are user defined objects
SuchmaschineRelational DBMSRelational DBMS infoColumn oriented
Sekundäre DatenbankmodelleGraph DBMS
Suchmaschine
Vektor DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte17,94
Rang#34  Overall
#21  Relational DBMS
Punkte0,97
Rang#192  Overall
#32  Document Stores
#6  Object oriented DBMS
Punkte5,59
Rang#63  Overall
#7  Suchmaschinen
Punkte20,56
Rang#31  Overall
#19  Relational DBMS
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.gigaspaces.comazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­synapse-analyticswww.vertica.com
Technische Dokumentationdocs.aws.amazon.com/­redshiftdocs.gigaspaces.com/­latest/­landing.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­azure/­synapse-analyticsvertica.com/­documentation
EntwicklerAmazon (based on PostgreSQL)Gigaspaces TechnologiesMicrosoftMicrosoftOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20122000201520162005
Aktuelle Version15.5, September 2020V112.0.3, Jänner 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache Version 2; Commercial licenses availablekommerziellkommerziellkommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinjajanein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheCJava, C++, .NetC++C++
Server BetriebssystemegehostetLinux
macOS
Solaris
Windows
gehostetgehostetLinux
DatenschemajaschemafreijajaYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajajayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinnein infoXML can be used for describing objects metadataneinneinnein
SekundärindizeseingeschränktjajajaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLja infokeine vollständige Unterstützung eines SQL-StandardsSQL-99 for query and DML statementsneinjaFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteJDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenAll languages supporting JDBC/ODBC.Net
C++
Java
Python
Scala
C#
Java
JavaScript
Python
C#
Java
PHP
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen infoin PythonjaneinTransact SQLyes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinjaneinneinyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioninghorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjaMulti-Source Replikation infosynchronous or asynchronous
Source-Replica Replikation infosynchronous or asynchronous
ja infoImplicit feature of the cloud servicejaMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationenneinja infoMap-Reduce pattern can be built with XAP task executorsneinneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infowerden aber nicht 'enforced'neinneinnein infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinnein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardRole-based access controlja infousing Azure authenticationjafine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon RedshiftGigaSpacesMicrosoft Azure AI SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» mehr
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» mehr
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» mehr

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Weitere Ressourcen
Amazon RedshiftGigaSpacesMicrosoft Azure AI SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseVertica infoOpenText™ Vertica™
DB-Engines Blog Posts

Cloud-based DBMS's popularity grows at high rates
12. Dezember 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7. Februar 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2. Oktober 2015, Paul Andlinger

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