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DBMS > AlaSQL vs. Apache Phoenix vs. Firebase Realtime Database vs. Microsoft Azure Data Explorer vs. Tarantool

Vergleich der Systemeigenschaften AlaSQL vs. Apache Phoenix vs. Firebase Realtime Database vs. Microsoft Azure Data Explorer vs. Tarantool

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAlaSQL  Xaus Vergleich ausschliessenApache Phoenix  Xaus Vergleich ausschliessenFirebase Realtime Database  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTarantool  Xaus Vergleich ausschliessen
KurzbeschreibungJavaScript DBMS libraryA scale-out RDBMS with evolutionary schema built on Apache HBaseCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Fully managed big data interactive analytics platformIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primäres DatenbankmodellDocument Store
Relational DBMS
Relational DBMSDocument StoreRelational DBMS infocolumn orientedDocument Store
Key-Value Store
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
Punkte0,42
Rang#264  Overall
#42  Document Stores
#122  Relational DBMS
Punkte1,90
Rang#125  Overall
#59  Relational DBMS
Punkte13,60
Rang#39  Overall
#6  Document Stores
Punkte3,28
Rang#83  Overall
#45  Relational DBMS
Punkte1,63
Rang#139  Overall
#25  Document Stores
#24  Key-Value Stores
#65  Relational DBMS
Websitealasql.orgphoenix.apache.orgfirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­services/­data-explorerwww.tarantool.io
Technische Dokumentationgithub.com/­AlaSQL/­alasqlphoenix.apache.orgfirebase.google.com/­docs/­databasedocs.microsoft.com/­en-us/­azure/­data-explorerwww.tarantool.io/­en/­doc
EntwicklerAndrey Gershun & Mathias R. WulffApache Software FoundationGoogle infoacquired by Google 2014MicrosoftVK
Erscheinungsjahr20142014201220192008
Aktuelle Version5.0-HBase2, July 2018 and 4.15-HBase1, December 2019cloud service with continuous releases2.10.0, Mai 2022
Lizenz infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0kommerziellkommerziellOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjajanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaScriptJavaC und C++
Server Betriebssystemeserver-less, requires a JavaScript environment (browser, Node.js)Linux
Unix
Windows
gehostetgehostetBSD
Linux
macOS
Datenschemaschemafreija infolate-bound, schema-on-read capabilitiesschemafreiFixed schema with schema-less datatypes (dynamic)Flexible data schema: relational definition for tables with ability to store json-like documents in columns
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinjajaja 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, datetime
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinjanein
Sekundärindizesneinjajaall fields are automatically indexedja
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.janeinKusto Query Language (KQL), SQL subsetFull-featured ANSI SQL support
APIs und andere ZugriffskonzepteJavaScript APIJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Open binary protocol
Unterstützte ProgrammiersprachenJavaScriptC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
JavaScript
Objective-C
.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 Proceduresneinbenutzerdefinierte Funktionenlimited functionality with using 'rules'Yes, possible languages: KQL, Python, RLua, C and SQL stored procedures
TriggersjaneinCallbacks are triggered when data changesja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineShardingSharding 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.
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenkeineMulti-Source Replikation
Source-Replica Replikation
ja 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)
MapReduce infoBietet ein API für Map/Reduce OperationenneinHadoop integrationneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineImmediate Consistency or Eventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual 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
Fremdschlüssel inforeferenzielle Integritätjaneinneinneinyes
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenja infoonly for local storage and DOM-storageACIDjaneinACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenja infoby using IndexedDB, SQL.JS or proprietary FileStoragejajajayes, write ahead logging
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinyes, full featured in-memory storage engine with persistence
Berechtigungskonzept infoZugriffskontrolleneinAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes, based on authentication and database rulesAzure 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

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Weitere Ressourcen
AlaSQLApache PhoenixFirebase Realtime DatabaseMicrosoft Azure Data ExplorerTarantool
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