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DBMS > CockroachDB vs. Google Cloud Firestore vs. Microsoft Azure Data Explorer vs. Speedb vs. Yaacomo

Vergleich der Systemeigenschaften CockroachDB vs. Google Cloud Firestore vs. Microsoft Azure Data Explorer vs. Speedb vs. Yaacomo

Redaktionelle Informationen bereitgestellt von DB-Engines
NameCockroachDB  Xaus Vergleich ausschliessenGoogle Cloud Firestore  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSpeedb  Xaus Vergleich ausschliessenYaacomo  Xaus Vergleich ausschliessen
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
KurzbeschreibungCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Fully managed big data interactive analytics platformAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primäres DatenbankmodellRelational DBMSDocument StoreRelational DBMS infocolumn orientedKey-Value StoreRelational DBMS
Sekundäre DatenbankmodelleDocument 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
Punkte6,15
Rang#55  Overall
#33  Relational DBMS
Punkte7,85
Rang#51  Overall
#8  Document Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,21
Rang#315  Overall
#45  Key-Value Stores
Websitewww.cockroachlabs.comfirebase.google.com/­products/­firestoreazure.microsoft.com/­services/­data-explorerwww.speedb.ioyaacomo.com
Technische Dokumentationwww.cockroachlabs.com/­docsfirebase.google.com/­docs/­firestoredocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerCockroach LabsGoogleMicrosoftSpeedbQ2WEB GmbH
Erscheinungsjahr20152017201920202009
Aktuelle Version23.1.1, Mai 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablekommerziellkommerziellOpen Source infoApache Version 2.0; commercial license availablekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjajaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheGoC++
Server BetriebssystemeLinux
macOS
Windows
gehostetgehostetLinux
Windows
Android
Linux
Windows
Datenschemadynamic schemaschemafreiFixed schema with schema-less datatypes (dynamic)schemafreija
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-typesneinja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaneinnein
Sekundärindizesjajaall fields are automatically indexedneinja
SQL infoSupport of SQLyes, wire compatible with PostgreSQLneinKusto Query Language (KQL), SQL subsetneinja
APIs und andere ZugriffskonzepteJDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
Unterstützte ProgrammiersprachenC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Go
Java
Perl
Python
Ruby
Server-seitige Scripts infoStored Proceduresneinyes, Firebase Rules & Cloud FunctionsYes, possible languages: KQL, Python, Rnein
Triggersneinyes, with Cloud Functionsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingSharding infoImplicit feature of the cloud servicehorizontal partitioninghorizontale Partitionierung
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-source replication using RAFTMulti-Source Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.jaSource-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenneinUsing Cloud DataflowSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDjaneinjaACID
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 haltenneinneinjaja
Berechtigungskonzept infoZugriffskontrolleRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Azure Active Directory AuthenticationneinBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
CockroachDBGoogle Cloud FirestoreMicrosoft Azure Data ExplorerSpeedbYaacomo
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» mehr
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» mehr
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» mehr

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Weitere Ressourcen
CockroachDBGoogle Cloud FirestoreMicrosoft Azure Data ExplorerSpeedbYaacomo
DB-Engines Blog Posts

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

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