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DBMS > CrateDB vs. GigaSpaces vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. MongoDB

Vergleich der Systemeigenschaften CrateDB vs. GigaSpaces vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. MongoDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameCrateDB  Xaus Vergleich ausschliessenGigaSpaces  Xaus Vergleich ausschliessenGoogle Cloud Spanner  Xaus Vergleich ausschliessenMicrosoft Azure SQL Database infofrüher SQL Azure  Xaus Vergleich ausschliessenMongoDB  Xaus Vergleich ausschliessen
KurzbeschreibungVerteilter Data Store basierend auf LuceneHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Relationaler Datenbankdienst aus der Cloud mit großer Kompatibilität zum Microsoft SQL ServerEiner der meistverwendeten Document Stores
Primäres DatenbankmodellDocument Store
Spatial DBMS
Suchmaschine
Time Series DBMS
Vektor DBMS
Document Store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMSDocument Store
Sekundäre DatenbankmodelleRelational DBMSGraph DBMS
Suchmaschine
Document Store
Graph DBMS
Spatial DBMS
Spatial DBMS
Suchmaschine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vektor DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,73
Rang#224  Overall
#37  Document Stores
#5  Spatial DBMS
#16  Suchmaschinen
#19  Time Series DBMS
#8  Vektor DBMS
Punkte0,97
Rang#192  Overall
#32  Document Stores
#6  Object oriented DBMS
Punkte2,89
Rang#103  Overall
#52  Relational DBMS
Punkte77,99
Rang#16  Overall
#11  Relational DBMS
Punkte421,65
Rang#5  Overall
#1  Document Stores
Websitecratedb.comwww.gigaspaces.comcloud.google.com/­spannerazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.mongodb.com
Technische Dokumentationcratedb.com/­docsdocs.gigaspaces.com/­latest/­landing.htmlcloud.google.com/­spanner/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.mongodb.com/­docs/­manual
EntwicklerCrateGigaspaces TechnologiesGoogleMicrosoftMongoDB, Inc
Erscheinungsjahr20132000201720102009
Aktuelle Version15.5, September 2020V126.0.7, Juni 2023
Lizenz infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2; Commercial licenses availablekommerziellkommerziellOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjajanein infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
  • MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
ImplementierungsspracheJavaJava, C++, .NetC++C++
Server BetriebssystemeAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS
Solaris
Windows
gehostetgehostetLinux
OS X
Solaris
Windows
DatenschemaFlexible Schema (defined schema, partial schema, schema free)schemafreijajaschemafrei infoObwohl schemafrei haben Dokumente einer Collection dennoch häufig die selbe Struktur
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajajaja infostring, integer, double, decimal, boolean, date, object_id, geospatial
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 metadataneinja
Sekundärindizesjajajajaja
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-99 for query and DML statementsja infoQuery statements complying to ANSI 2011jaRead-only SQL queries via the MongoDB Atlas SQL Interface
APIs und andere ZugriffskonzepteADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
GraphQL
HTTP REST
Prisma
Proprietäres Protokoll basierend auf JSON
Unterstützte Programmiersprachen.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C++
Java
Python
Scala
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript infoinoffizielle Driver
C
C#
C++
Clojure infoinoffizielle Driver
ColdFusion infoinoffizielle Driver
D infoinoffizielle Driver
Dart infoinoffizielle Driver
Delphi infoinoffizielle Driver
Erlang
Go
Groovy infoinoffizielle Driver
Haskell
Java
JavaScript
Kotlin
Lisp infoinoffizielle Driver
Lua infoinoffizielle Driver
MatLab infoinoffizielle Driver
Perl
PHP
PowerShell infoinoffizielle Driver
Prolog infoinoffizielle Driver
Python
R infoinoffizielle Driver
Ruby
Rust
Scala
Smalltalk infoinoffizielle Driver
Swift
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenjaneinTransact SQLJavaScript
Triggersneinjaneinjaja infoin MongoDB Atlas only
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenConfigurable replication on table/partition-levelMulti-Source Replikation infosynchronous or asynchronous
Source-Replica Replikation infosynchronous or asynchronous
Multi-source replication with 3 replicas for regional instances.ja, immer mindestens 3 Replikas vorhandenMulti-Source deployments with MongoDB Atlas Global Clusters
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenneinja infoMap-Reduce pattern can be built with XAP task executorsja infousing Google Cloud Dataflowneinja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Read-after-write consistency on record level
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Fremdschlüssel inforeferenzielle Integritätneinneinja infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityjanein infoNormalerweise nicht gebraucht, abgeschwächte Variante mit DBRef
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACID infoStrict serializable isolationACIDMulti-document ACID Transactions with snapshot isolation
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja infooptional, enabled by default
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinja infoIn-memory storage engine introduced with MongoDB version 3.2
Berechtigungskonzept infoZugriffskontrolleRechteverwaltung mit BenutzeraccountsRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardZugriffsrechte für Benutzer und Rollen
Weitere Informationen bereitgestellt vom Systemhersteller
CrateDBGigaSpacesGoogle Cloud SpannerMicrosoft Azure SQL Database infofrüher SQL AzureMongoDB
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» mehr
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» mehr
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» mehr
Built around the flexible document data model and unified API, MongoDB is a developer...
» mehr
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» mehr
AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» mehr
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» mehr
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» mehr
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» mehr
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» mehr
Licensing and pricing modelsSee CrateDB pricing >
» mehr
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» mehr

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CrateDBGigaSpacesGoogle Cloud SpannerMicrosoft Azure SQL Database infofrüher SQL AzureMongoDB
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