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DBMS > Fauna vs. Google Cloud Datastore vs. Microsoft Azure AI Search vs. Microsoft Azure Data Explorer vs. ScyllaDB

Vergleich der Systemeigenschaften Fauna vs. Google Cloud Datastore vs. Microsoft Azure AI Search vs. Microsoft Azure Data Explorer vs. ScyllaDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFauna infopreviously named FaunaDB  Xaus Vergleich ausschliessenGoogle Cloud Datastore  Xaus Vergleich ausschliessenMicrosoft Azure AI Search  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenScyllaDB  Xaus Vergleich ausschliessen
KurzbeschreibungFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Selbst skalierendes NoSQL Datenbankservice in der Google Cloud PlattformSearch-as-a-service for web and mobile app developmentFully managed big data interactive analytics platformCassandra and DynamoDB compatible wide column store
Primäres DatenbankmodellDocument Store
Graph DBMS
Relational DBMS
Time Series DBMS
Document StoreSuchmaschineRelational DBMS infocolumn orientedWide Column Store
Sekundäre DatenbankmodelleVektor DBMSDocument 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
Key-Value Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,52
Rang#153  Overall
#26  Document Stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Punkte4,47
Rang#76  Overall
#12  Document Stores
Punkte5,59
Rang#63  Overall
#7  Suchmaschinen
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte4,75
Rang#68  Overall
#5  Wide Column Stores
Websitefauna.comcloud.google.com/­datastoreazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­data-explorerwww.scylladb.com
Technische Dokumentationdocs.fauna.comcloud.google.com/­datastore/­docslearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.scylladb.com
EntwicklerFauna, Inc.GoogleMicrosoftMicrosoftScyllaDB
Erscheinungsjahr20142008201520192015
Aktuelle VersionV1cloud service with continuous releasesScyllaDB Open Source 5.4.1, Jaenner 2024
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellkommerziellOpen Source infoOpen Source (AGPL), commercial license available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajajajanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
ImplementierungsspracheScalaC++
Server BetriebssystemegehostetgehostetgehostetgehostetLinux
DatenschemaschemafreischemafreijaFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinja, Details hierjaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinjanein
Sekundärindizesjajajaall fields are automatically indexedja infocluster global secondary indices
SQL infoSupport of SQLneinSQL-like query language (GQL)neinKusto Query Language (KQL), SQL subsetSQL-like DML and DDL statements (CQL)
APIs und andere ZugriffskonzepteRESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietäres Protokoll infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Unterstützte ProgrammiersprachenC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionenmit Google App EngineneinYes, possible languages: KQL, Python, Ryes, Lua
TriggersneinCallbacks mit Google Apps Engineneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierung infoconsistent hashingShardingSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source ReplikationMulti-source replication using Paxosja infoImplicit feature of the cloud serviceja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.frei wählbarer Replikationsfaktor infoRepresentation of geographical distribution of servers is possible
MapReduce infoBietet ein API für Map/Reduce Operationenneinja infomittels Google Cloud DataflowneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Fremdschlüssel inforeferenzielle Integritätjaja infovia ReferenceProperties or Ancestor pathsneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsneinneinnein infoAtomicity and isolation are supported for single operations
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 haltenneinneinneinneinja infoin-memory tables
Berechtigungskonzept infoZugriffskontrolleIdentity management, authentication, and access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)ja infousing Azure authenticationAzure Active Directory AuthenticationAccess rights for users can be defined per object
Weitere Informationen bereitgestellt vom Systemhersteller
Fauna infopreviously named FaunaDBGoogle Cloud DatastoreMicrosoft Azure AI SearchMicrosoft Azure Data ExplorerScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» mehr
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» mehr
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» mehr
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» mehr
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» mehr
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» mehr

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Weitere Ressourcen
Fauna infopreviously named FaunaDBGoogle Cloud DatastoreMicrosoft Azure AI SearchMicrosoft Azure Data ExplorerScyllaDB
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