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DBMS > Apache Kylin vs. HBase vs. Microsoft Azure Data Explorer vs. NSDb vs. Tarantool

Vergleich der Systemeigenschaften Apache Kylin vs. HBase vs. Microsoft Azure Data Explorer vs. NSDb vs. Tarantool

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Kylin  Xaus Vergleich ausschliessenHBase  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNSDb  Xaus Vergleich ausschliessenTarantool  Xaus Vergleich ausschliessen
KurzbeschreibungA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackWide-Column Store basierend auf Apache Hadoop und auf Konzepten von BigTableFully managed big data interactive analytics platformScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primäres DatenbankmodellRelational DBMSWide Column StoreRelational DBMS infocolumn orientedTime Series DBMSDocument 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
Punkte1,25
Rang#170  Overall
#77  Relational DBMS
Punkte27,97
Rang#26  Overall
#2  Wide Column Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,08
Rang#369  Overall
#40  Time Series DBMS
Punkte1,67
Rang#143  Overall
#25  Document Stores
#25  Key-Value Stores
#65  Relational DBMS
Websitekylin.apache.orghbase.apache.orgazure.microsoft.com/­services/­data-explorernsdb.iowww.tarantool.io
Technische Dokumentationkylin.apache.org/­docshbase.apache.org/­book.htmldocs.microsoft.com/­en-us/­azure/­data-explorernsdb.io/­Architecturewww.tarantool.io/­en/­doc
EntwicklerApache Software Foundation, originally contributed from eBay IncApache Software Foundation infoApache Top-Level Projekt, ursprünglich entwickelt von PowersetMicrosoftVK
Erscheinungsjahr20152008201920172008
Aktuelle Version3.1.0, Juli 20202.3.4, Jaenner 2021cloud service with continuous releases2.10.0, Mai 2022
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2kommerziellOpen Source infoApache Version 2.0Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaJavaJava, ScalaC und C++
Server BetriebssystemeLinuxLinux
Unix
Windows infomit Cygwin
gehostetLinux
macOS
BSD
Linux
macOS
Datenschemajaschema-free, schema definition possibleFixed 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 datejaoptions to bring your own types, AVROja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes: int, bigint, decimal, stringstring, 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, XSLTneinneinjaneinnein
Sekundärindizesjaneinall fields are automatically indexedall fields are automatically indexedja
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)neinKusto Query Language (KQL), SQL subsetSQL-like query languageFull-featured ANSI SQL support
APIs und andere ZugriffskonzepteJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
gRPC
HTTP REST
WebSocket
Open binary protocol
Unterstützte ProgrammiersprachenC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Java
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-seitige Scripts infoStored Proceduresja infoCoprocessors in JavaYes, possible languages: KQL, Python, RneinLua, C and SQL stored procedures
Triggersjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud serviceShardingSharding, 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 KnotenMulti-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 OperationenjajaSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Eventual 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 Integritätneinneinneinyes
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenSingle row ACID (across millions of columns)neinneinACID, 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 DatenjajajaUsing Apache Luceneyes, write ahead logging
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinyes, full featured in-memory storage engine with persistence
Berechtigungskonzept infoZugriffskontrolleAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAzure 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
Apache KylinHBaseMicrosoft Azure Data ExplorerNSDbTarantool
DB-Engines Blog Posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11. August 2021,  Krishna Maheshwari (sponsor) 

Why is Hadoop not listed in the DB-Engines Ranking?
13. Mai 2013, 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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