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DBMS > Firebase Realtime Database vs. Greenplum vs. Microsoft Azure Data Explorer vs. SwayDB vs. Tarantool

Vergleich der Systemeigenschaften Firebase Realtime Database vs. Greenplum vs. Microsoft Azure Data Explorer vs. SwayDB vs. Tarantool

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFirebase Realtime Database  Xaus Vergleich ausschliessenGreenplum  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSwayDB  Xaus Vergleich ausschliessenTarantool  Xaus Vergleich ausschliessen
KurzbeschreibungCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Fully managed big data interactive analytics platformAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primäres DatenbankmodellDocument StoreRelational DBMSRelational DBMS infocolumn orientedKey-Value StoreDocument Store
Key-Value Store
Relational DBMS
Sekundäre DatenbankmodelleDocument Store
Spatial DBMS
Document 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
Punkte13,64
Rang#39  Overall
#6  Document Stores
Punkte8,08
Rang#48  Overall
#31  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,04
Rang#387  Overall
#61  Key-Value Stores
Punkte1,67
Rang#143  Overall
#25  Document Stores
#25  Key-Value Stores
#65  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasegreenplum.orgazure.microsoft.com/­services/­data-explorerswaydb.simer.auwww.tarantool.io
Technische Dokumentationfirebase.google.com/­docs/­databasedocs.greenplum.orgdocs.microsoft.com/­en-us/­azure/­data-explorerwww.tarantool.io/­en/­doc
EntwicklerGoogle infoacquired by Google 2014Pivotal Software Inc.MicrosoftSimer PlahaVK
Erscheinungsjahr20122005201920182008
Aktuelle Version7.0.0, September 2023cloud service with continuous releases2.10.0, Mai 2022
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache 2.0kommerziellOpen Source infoGNU Affero GPL V3.0Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheScalaC und C++
Server BetriebssystemegehostetLinuxgehostetBSD
Linux
macOS
DatenschemaschemafreijaFixed schema with schema-less datatypes (dynamic)schemafreiFlexible data schema: relational definition for tables with ability to store json-like documents in columns
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-typesneinstring, double, decimal, uuid, integer, blob, boolean, datetime
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinja infoseit Version 4.2janeinnein
Sekundärindizesjajaall fields are automatically indexedneinja
SQL infoSupport of SQLneinjaKusto Query Language (KQL), SQL subsetneinFull-featured ANSI SQL support
APIs und andere ZugriffskonzepteAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Open binary protocol
Unterstützte ProgrammiersprachenJava
JavaScript
Objective-C
C
Java
Perl
Python
R
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Java
Kotlin
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-seitige Scripts infoStored Procedureslimited functionality with using 'rules'jaYes, possible languages: KQL, Python, RneinLua, C and SQL stored procedures
TriggersCallbacks are triggered when data changesjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud servicekeineSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keineAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoBietet ein API für Map/Reduce OperationenneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyCasual 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
Fremdschlüssel inforeferenzielle Integritätneinjaneinneinyes
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenjaACIDneinAtomic execution of operationsACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajayes, write ahead logging
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinjayes, full featured in-memory storage engine with persistence
Berechtigungskonzept infoZugriffskontrolleyes, based on authentication and database rulesBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory AuthenticationneinAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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Weitere Ressourcen
Firebase Realtime DatabaseGreenplumMicrosoft Azure Data ExplorerSwayDBTarantool
DB-Engines Blog Posts

Cloud-based DBMS's popularity grows at high rates
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Data processing speed and reliability: in-memory synchronous replication
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