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DBMS > Dgraph vs. Google Cloud Firestore vs. Microsoft Azure Data Explorer vs. Tarantool vs. Yaacomo

Vergleich der Systemeigenschaften Dgraph vs. Google Cloud Firestore vs. Microsoft Azure Data Explorer vs. Tarantool vs. Yaacomo

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDgraph  Xaus Vergleich ausschliessenGoogle Cloud Firestore  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTarantool  Xaus Vergleich ausschliessenYaacomo  Xaus Vergleich ausschliessen
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
KurzbeschreibungVerteiltes, skalierbares Graph DBMSCloud 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 platformIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primäres DatenbankmodellGraph DBMSDocument StoreRelational DBMS infocolumn orientedDocument Store
Key-Value Store
Relational DBMS
Relational 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
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,45
Rang#156  Overall
#15  Graph DBMS
Punkte7,85
Rang#51  Overall
#8  Document Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte1,72
Rang#144  Overall
#25  Document Stores
#25  Key-Value Stores
#66  Relational DBMS
Websitedgraph.iofirebase.google.com/­products/­firestoreazure.microsoft.com/­services/­data-explorerwww.tarantool.ioyaacomo.com
Technische Dokumentationdgraph.io/­docsfirebase.google.com/­docs/­firestoredocs.microsoft.com/­en-us/­azure/­data-explorerwww.tarantool.io/­en/­doc
EntwicklerDgraph Labs, Inc.GoogleMicrosoftVKQ2WEB GmbH
Erscheinungsjahr20162017201920082009
Aktuelle Versioncloud service with continuous releases2.10.0, Mai 2022
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellkommerziellOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprisekommerziell
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 und C++
Server BetriebssystemeLinux
OS X
Windows
gehostetgehostetBSD
Linux
macOS
Android
Linux
Windows
DatenschemaschemafreischemafreiFixed schema with schema-less datatypes (dynamic)Flexible data schema: relational definition for tables with ability to store json-like documents in columnsja
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-typesstring, double, decimal, uuid, integer, blob, boolean, datetimeja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaneinnein
Sekundärindizesjajaall fields are automatically indexedjaja
SQL infoSupport of SQLneinneinKusto Query Language (KQL), SQL subsetFull-featured ANSI SQL supportja
APIs und andere ZugriffskonzepteGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Open binary protocolJDBC
ODBC
Unterstützte ProgrammiersprachenC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-seitige Scripts infoStored Proceduresneinyes, Firebase Rules & Cloud FunctionsYes, possible languages: KQL, Python, RLua, C and SQL stored procedures
Triggersneinyes, with Cloud Functionsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjaja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenjaShardingSharding infoImplicit feature of the cloud serviceSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.horizontale Partitionierung
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSynchronous replication via RaftMulti-Source Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Asynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenneinUsing Cloud DataflowSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinyesja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDjaneinACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajayes, write ahead loggingja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinyes, full featured in-memory storage engine with persistenceja
Berechtigungskonzept infoZugriffskontrollenein infoPlanned for future releasesAccess 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 AuthenticationAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard

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Weitere Ressourcen
DgraphGoogle Cloud FirestoreMicrosoft Azure Data ExplorerTarantoolYaacomo
DB-Engines Blog Posts

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

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Data processing speed and reliability: in-memory synchronous replication
9. November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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