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DBMS > IRONdb vs. Microsoft Azure Data Explorer vs. Oracle NoSQL vs. Sadas Engine vs. Splice Machine

Vergleich der Systemeigenschaften IRONdb vs. Microsoft Azure Data Explorer vs. Oracle NoSQL vs. Sadas Engine vs. Splice Machine

Redaktionelle Informationen bereitgestellt von DB-Engines
NameIRONdb  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOracle NoSQL  Xaus Vergleich ausschliessenSadas Engine  Xaus Vergleich ausschliessenSplice Machine  Xaus Vergleich ausschliessen
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
KurzbeschreibungA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityFully managed big data interactive analytics platformA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primäres DatenbankmodellTime Series DBMSRelational DBMS infocolumn orientedDocument Store
Key-Value Store
Relational DBMS
Relational DBMSRelational 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
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte2,95
Rang#100  Overall
#17  Document Stores
#17  Key-Value Stores
#50  Relational DBMS
Punkte0,00
Rang#383  Overall
#158  Relational DBMS
Punkte0,54
Rang#250  Overall
#114  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/azure.microsoft.com/­services/­data-explorerwww.oracle.com/­database/­nosql/­technologies/­nosqlwww.sadasengine.comsplicemachine.com
Technische Dokumentationdocs.circonus.com/irondb/category/getting-starteddocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsplicemachine.com/­how-it-works
EntwicklerCirconus LLC.MicrosoftOracleSADAS s.r.l.Splice Machine
Erscheinungsjahr20172019201120062014
Aktuelle VersionV0.10.20, January 2018cloud service with continuous releases23.3, Dezember 20238.03.1, March 2021
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)kommerziell infofree trial version availableOpen Source infoAGPL 3.0, commercial license available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC und C++JavaC++Java
Server BetriebssystemeLinuxgehostetLinux
Solaris SPARC/x86
AIX
Linux
Windows
Linux
OS X
Solaris
Windows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)Support Fixed schema and Schema-less deployment with the ability to interoperate between them.jaja
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infotext, numeric, histogramsja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesoptionaljaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinnein
Sekundärindizesneinall fields are automatically indexedjajaja
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)Kusto Query Language (KQL), SQL subsetSQL-like DML and DDL statementsjaja
APIs und andere ZugriffskonzepteHTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Proprietäres Protokoll
JDBC
Native Spark Datasource
ODBC
Unterstützte Programmiersprachen.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-seitige Scripts infoStored Proceduresyes, in LuaYes, possible languages: KQL, Python, Rneinneinja infoJava
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud serviceShardinghorizontale PartitionierungShared Nothhing Auto-Sharding, Columnar Partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenconfigurable replication factor, datacenter awareja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Electable source-replica replication per shard. Support distributed global deployment with Multi-region table featurekeineMulti-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkwith Hadoop integrationneinYes, via Full Spark Integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate consistency per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency infoabhängig von Konfiguration
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinjaja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenneinneinkonfigurierbar infoACID innerhalb eines 'storage nodes' (=shard)ACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajayes, multi-version concurrency control (MVCC)
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinja infooff heap cacheja infomanaged by 'Learn by Usage'ja
Berechtigungskonzept infoZugriffskontrolleneinAzure Active Directory AuthenticationZugriffsrechte für Benutzer und RollenAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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Weitere Ressourcen
IRONdbMicrosoft Azure Data ExplorerOracle NoSQLSadas EngineSplice Machine
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