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DBMS > Alibaba Cloud Table Store vs. Ignite vs. Microsoft Azure Data Explorer vs. Riak TS vs. TerminusDB

Vergleich der Systemeigenschaften Alibaba Cloud Table Store vs. Ignite vs. Microsoft Azure Data Explorer vs. Riak TS vs. TerminusDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAlibaba Cloud Table Store  Xaus Vergleich ausschliessenIgnite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRiak TS  Xaus Vergleich ausschliessenTerminusDB infoformer name was DataChemist  Xaus Vergleich ausschliessen
KurzbeschreibungA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Fully managed big data interactive analytics platformRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primäres DatenbankmodellWide Column StoreKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedTime Series DBMSGraph 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
Document Store
RDF Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,26
Rang#301  Overall
#12  Wide Column Stores
Punkte3,16
Rang#96  Overall
#15  Key-Value Stores
#49  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,20
Rang#319  Overall
#27  Time Series DBMS
Punkte0,17
Rang#325  Overall
#29  Graph DBMS
Websitewww.alibabacloud.com/­product/­table-storeignite.apache.orgazure.microsoft.com/­services/­data-explorerterminusdb.com
Technische Dokumentationwww.alibabacloud.com/­help/­en/­tablestoreapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerwww.tiot.jp/­riak-docs/­riak/­ts/­latestterminusdb.github.io/­terminusdb/­#
EntwicklerAlibabaApache Software FoundationMicrosoftOpen Source, formerly Basho TechnologiesDataChemist Ltd.
Erscheinungsjahr20162015201920152018
Aktuelle VersionApache Ignite 2.6cloud service with continuous releases3.0.0, September 202211.0.0, Jaenner 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache 2.0kommerziellOpen SourceOpen 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.
ImplementierungsspracheC++, Java, .NetErlangProlog, Rust
Server BetriebssystemegehostetLinux
OS X
Solaris
Windows
gehostetLinux
OS X
Linux
DatenschemaschemafreijaFixed schema with schema-less datatypes (dynamic)schemafreija
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-typesneinja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjajaneinnein
Sekundärindizesneinjaall fields are automatically indexedeingeschränkt
SQL infoSupport of SQLneinANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subsetyes, limitedSQL-like query language (WOQL)
APIs und andere ZugriffskonzepteHTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP API
Native Erlang Interface
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Unterstützte ProgrammiersprachenJava
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.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
JavaScript
Python
Server-seitige Scripts infoStored Proceduresneinyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, RErlangja
Triggersneinyes (cache interceptors and events)ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infopre-commit hooks and post-commit hooksja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud serviceShardingSharding infoImplicit feature of the cloud serviceShardingGraph Partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud serviceyes (replicated cache)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.frei wählbarer ReplikationsfaktorJournaling Streams
MapReduce infoBietet ein API für Map/Reduce Operationenneinyes (compute grid and hadoop accelerator)Spark connector (open source): github.com/­Azure/­azure-kusto-sparkjanein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein infolinks between datasets can be storedja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic single-row operationsACIDneinneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja infoin-memory journaling
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjanein
Berechtigungskonzept infoZugriffskontrolleAccess rights based on subaccounts and tokensSecurity Hooks for custom implementationsAzure Active Directory AuthenticationneinRole-based access control

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Weitere Ressourcen
Alibaba Cloud Table StoreIgniteMicrosoft Azure Data ExplorerRiak TSTerminusDB infoformer name was DataChemist
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