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DBMS > Geode vs. Google Cloud Bigtable vs. Graphite vs. Microsoft Azure Data Explorer vs. Riak TS

Vergleich der Systemeigenschaften Geode vs. Google Cloud Bigtable vs. Graphite vs. Microsoft Azure Data Explorer vs. Riak TS

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGeode  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenGraphite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRiak TS  Xaus Vergleich ausschliessen
KurzbeschreibungGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperFully managed big data interactive analytics platformRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primäres DatenbankmodellKey-Value StoreKey-Value Store
Wide Column Store
Time Series DBMSRelational DBMS infocolumn orientedTime Series 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,92
Rang#131  Overall
#23  Key-Value Stores
Punkte3,26
Rang#92  Overall
#13  Key-Value Stores
#8  Wide Column Stores
Punkte4,57
Rang#73  Overall
#5  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,20
Rang#319  Overall
#27  Time Series DBMS
Websitegeode.apache.orgcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webazure.microsoft.com/­services/­data-explorer
Technische Dokumentationgeode.apache.org/­docscloud.google.com/­bigtable/­docsgraphite.readthedocs.iodocs.microsoft.com/­en-us/­azure/­data-explorerwww.tiot.jp/­riak-docs/­riak/­ts/­latest
EntwicklerOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleChris DavisMicrosoftOpen Source, formerly Basho Technologies
Erscheinungsjahr20022015200620192015
Aktuelle Version1.1, February 2017cloud service with continuous releases3.0.0, September 2022
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfirekommerziellOpen Source infoApache 2.0kommerziellOpen Source
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaPythonErlang
Server BetriebssystemeAlle Betriebssysteme mit einer Java VM infothe JDK (8 or later) is also requiredgehostetLinux
Unix
gehostetLinux
OS X
DatenschemaschemafreischemafreijaFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinNumeric data onlyja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesnein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinjanein
Sekundärindizesneinneinneinall fields are automatically indexedeingeschränkt
SQL infoSupport of SQLSQL-like query language (OQL)neinneinKusto Query Language (KQL), SQL subsetyes, limited
APIs und andere ZugriffskonzepteJava Client API
Memcached Protokoll
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP API
Native Erlang Interface
Unterstützte Programmiersprachen.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenneinneinYes, possible languages: KQL, Python, RErlang
Triggersja infoCache Event Listenersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infopre-commit hooks and post-commit hooks
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingkeineSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source ReplikationInternal replication in Colossus, and regional replication between two clusters in different zoneskeineja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.frei wählbarer Replikationsfaktor
MapReduce infoBietet ein API für Map/Reduce OperationenneinjaneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)keineEventual Consistency
Immediate Consistency
Eventual Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein infolinks between datasets can be stored
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenyes, on a single nodeAtomic single-row operationsneinneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajaja infolockingjaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinnein
Berechtigungskonzept infoZugriffskontrolleAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)neinAzure Active Directory Authenticationnein

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Weitere Ressourcen
GeodeGoogle Cloud BigtableGraphiteMicrosoft Azure Data ExplorerRiak TS
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