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DBMS > Blueflood vs. Databend vs. GridDB vs. Microsoft Azure Data Explorer vs. Sqrrl

Vergleich der Systemeigenschaften Blueflood vs. Databend vs. GridDB vs. Microsoft Azure Data Explorer vs. Sqrrl

Redaktionelle Informationen bereitgestellt von DB-Engines
NameBlueflood  Xaus Vergleich ausschliessenDatabend  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSqrrl  Xaus Vergleich ausschliessen
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
KurzbeschreibungSkalierbare Timeseries DBMS basierend auf CassandraAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityScalable in-memory time series database optimized for IoT and Big DataFully managed big data interactive analytics platformAdaptable, secure NoSQL built on Apache Accumulo
Primäres DatenbankmodellTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS infocolumn orientedDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Sekundäre DatenbankmodelleKey-Value Store
Relational DBMS
Document 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
Punkte0,13
Rang#346  Overall
#33  Time Series DBMS
Punkte0,34
Rang#283  Overall
#130  Relational DBMS
Punkte2,09
Rang#120  Overall
#10  Time Series DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Websiteblueflood.iogithub.com/­datafuselabs/­databend
www.databend.com
griddb.netazure.microsoft.com/­services/­data-explorersqrrl.com
Technische Dokumentationgithub.com/­rax-maas/­blueflood/­wikidocs.databend.comdocs.griddb.netdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerRackspaceDatabend LabsToshiba CorporationMicrosoftAmazon infoursprünglich Sqrrl Data, Inc.
Erscheinungsjahr20132021201320192012
Aktuelle Version1.0.59, April 20235.1, August 2022cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablekommerziellkommerziell
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.
ImplementierungsspracheJavaRustC++Java
Server BetriebssystemeLinux
OS X
gehostet
Linux
macOS
LinuxgehostetLinux
Datenschemavordefiniertes SchemajajaFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infonumerical, string, blob, geometry, boolean, timestampja 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, XSLTneinneinneinja
Sekundärindizesneinneinjaall fields are automatically indexedja
SQL infoSupport of SQLneinjaSQL92, SQL-like TQL (Toshiba Query Language)Kusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteHTTP RESTCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Unterstützte ProgrammiersprachenGo
Java
JavaScript (Node.js)
Python
Rust
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-seitige Scripts infoStored ProceduresneinneinneinYes, possible languages: KQL, Python, Rnein
Triggersneinneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infobasierend auf CassandrakeineShardingSharding infoImplicit feature of the cloud serviceSharding infoBasierend auf Hadoop
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer Replikationsfaktor infobasierend auf CassandrakeineSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.frei wählbarer Replikationsfaktor infobasierend auf Hadoop
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infobasierend auf Cassandra
Immediate Consistency infobasierend auf Cassandra
Immediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinjaACID at container levelneinAtomic updates per row, document, or graph entity
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjanein
Berechtigungskonzept infoZugriffskontrolleneinUsers with fine-grained authorization concept, user rolesAccess rights for users can be defined per databaseAzure Active Directory AuthenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
Weitere Informationen bereitgestellt vom Systemhersteller
BluefloodDatabendGridDBMicrosoft Azure Data ExplorerSqrrl
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
BluefloodDatabendGridDBMicrosoft Azure Data ExplorerSqrrl
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