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DBMS > Amazon DocumentDB vs. Faircom DB vs. Microsoft Azure Data Explorer vs. TerarkDB vs. Typesense

Vergleich der Systemeigenschaften Amazon DocumentDB vs. Faircom DB vs. Microsoft Azure Data Explorer vs. TerarkDB vs. Typesense

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon DocumentDB  Xaus Vergleich ausschliessenFaircom DB infoformerly c-treeACE  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTerarkDB  Xaus Vergleich ausschliessenTypesense  Xaus Vergleich ausschliessen
KurzbeschreibungFast, scalable, highly available, and fully managed MongoDB-compatible database serviceNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Fully managed big data interactive analytics platformA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primäres DatenbankmodellDocument StoreKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedKey-Value StoreSuchmaschine
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
Punkte1,91
Rang#131  Overall
#24  Document Stores
Punkte0,29
Rang#304  Overall
#43  Key-Value Stores
#136  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,08
Rang#367  Overall
#56  Key-Value Stores
Punkte0,76
Rang#219  Overall
#14  Suchmaschinen
Websiteaws.amazon.com/­documentdbwww.faircom.com/­products/­faircom-dbazure.microsoft.com/­services/­data-explorergithub.com/­bytedance/­terarkdbtypesense.org
Technische Dokumentationaws.amazon.com/­documentdb/­resourcesdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.microsoft.com/­en-us/­azure/­data-explorerbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKctypesense.org/­docs
EntwicklerFairCom CorporationMicrosoftByteDance, originally Terark
Erscheinungsjahr20191979201920162015
Aktuelle VersionV12, November 2020cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziellkommerziell infoRestricted, free version availablekommerziellkommerziell inforestricted open source version availableOpen Source infoGPL V3
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.
ImplementierungsspracheANSI C, C++C++C++
Server BetriebssystemegehostetAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
gehostetLinux
Datenschemaschemafreischema free, schema optional, schema required, partial schema,Fixed schema with schema-less datatypes (dynamic)schemafreischemafrei infopre-defined schema optional
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja, ANSI Standard SQL Types, JSON, typed binary structuresja 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, XSLTneinneinjanein
Sekundärindizesjajaall fields are automatically indexedneinja
SQL infoSupport of SQLneinyes, ANSI SQL with proprietary extensionsKusto Query Language (KQL), SQL subsetneinnein
APIs und andere Zugriffskonzepteproprietary protocol using JSON (MongoDB compatible)ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
C++ API
Java API
RESTful HTTP API
Unterstützte ProgrammiersprachenGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Java
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-seitige Scripts infoStored Proceduresneinja info.Net, JavaScript, C/C++Yes, possible languages: KQL, Python, Rneinnein
Triggersneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infoImplicit feature of the cloud servicekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keineMulti-source replication using RAFT
MapReduce infoBietet ein API für Map/Reduce Operationennein infokann über Amazon Elastic MapReduce (Amazon EMR) realisiert werdenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätnein infotypically not used, however similar functionality with DBRef possiblejaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic single-document operationstunable from ACID to Eventually Consistentneinneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der DatenjaYes, tunable from durable to delayed durability to in-memoryjajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinjaja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesFine grained access rights according to SQL-standard with additional protections for filesAzure Active Directory Authenticationnein

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Weitere Ressourcen
Amazon DocumentDBFaircom DB infoformerly c-treeACEMicrosoft Azure Data ExplorerTerarkDBTypesense
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