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DBMS > Apache Druid vs. GridDB vs. Manticore Search vs. Microsoft Azure Data Explorer vs. TerminusDB

Vergleich der Systemeigenschaften Apache Druid vs. GridDB vs. Manticore Search vs. Microsoft Azure Data Explorer vs. TerminusDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Druid  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenManticore Search  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTerminusDB infoformer name was DataChemist  Xaus Vergleich ausschliessen
KurzbeschreibungOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable in-memory time series database optimized for IoT and Big DataMulti-storage database for search, including full-text search.Fully managed big data interactive analytics platformScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Time Series DBMSSuchmaschineRelational DBMS infocolumn orientedGraph DBMS
Sekundäre DatenbankmodelleKey-Value Store
Relational DBMS
Time Series DBMS infousing the Manticore Columnar LibraryDocument 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
Punkte3,25
Rang#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Punkte2,09
Rang#120  Overall
#10  Time Series DBMS
Punkte0,29
Rang#302  Overall
#21  Suchmaschinen
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,23
Rang#316  Overall
#27  Graph DBMS
Websitedruid.apache.orggriddb.netmanticoresearch.comazure.microsoft.com/­services/­data-explorerterminusdb.com
Technische Dokumentationdruid.apache.org/­docs/­latest/­designdocs.griddb.netmanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­data-explorerterminusdb.github.io/­terminusdb/­#
EntwicklerApache Software Foundation and contributorsToshiba CorporationManticore SoftwareMicrosoftDataChemist Ltd.
Erscheinungsjahr20122013201720192018
Aktuelle Version29.0.1, April 20245.1, August 20226.0, Februar 2023cloud service with continuous releases11.0.0, Jaenner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL Version 2kommerziellOpen Source infoGPL V3
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaC++C++Prolog, Rust
Server BetriebssystemeLinux
OS X
Unix
LinuxFreeBSD
Linux
macOS
Windows
gehostetLinux
Datenschemaja infoschema-less columns are supportedjaFixed schemaFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infonumerical, string, blob, geometry, boolean, timestampInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinCan index from XMLjanein
Sekundärindizesjajaja infoFull-Text Index auf allen Suchfeldernall fields are automatically indexed
SQL infoSupport of SQLSQL for queryingSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageKusto Query Language (KQL), SQL subsetSQL-like query language (WOQL)
APIs und andere ZugriffskonzepteJDBC
RESTful HTTP/JSON API
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Unterstützte ProgrammiersprachenClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
JavaScript
Python
Server-seitige Scripts infoStored Proceduresneinneinuser defined functionsYes, possible languages: KQL, Python, Rja
Triggersneinjaneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infomanual/auto, time-basedShardingSharding infoAufteilung der Daten erfolgt manuell, Suchabfragen auf verteilten Index werden unterstützt.Sharding infoImplicit feature of the cloud serviceGraph Partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja, durch HDFS, S3 oder andere Storage EnginesSource-Replica ReplikationSynchronous replication based on Galera libraryja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Journaling Streams
MapReduce infoBietet ein API für Map/Reduce OperationenneinConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACID at container levelja infoisolated transactions for atomic changes and binary logging for safe writesneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajaja infoDer Originalinhalt von Feldern wird nicht im Manticore-Index gespeichert.jaja infoin-memory journaling
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjanein
Berechtigungskonzept infoZugriffskontrolleRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per databaseneinAzure Active Directory AuthenticationRole-based access control
Weitere Informationen bereitgestellt vom Systemhersteller
Apache DruidGridDBManticore SearchMicrosoft Azure Data ExplorerTerminusDB infoformer name was DataChemist
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» mehr
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» mehr
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» mehr
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» mehr
Market metricsGitHub trending repository
» mehr
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» mehr

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Weitere Ressourcen
Apache DruidGridDBManticore SearchMicrosoft Azure Data ExplorerTerminusDB infoformer name was DataChemist
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