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DBMS > GridDB vs. HBase vs. Microsoft Azure Data Explorer vs. Riak TS vs. Tarantool

Vergleich der Systemeigenschaften GridDB vs. HBase vs. Microsoft Azure Data Explorer vs. Riak TS vs. Tarantool

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGridDB  Xaus Vergleich ausschliessenHBase  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRiak TS  Xaus Vergleich ausschliessenTarantool  Xaus Vergleich ausschliessen
KurzbeschreibungScalable in-memory time series database optimized for IoT and Big DataWide-Column Store basierend auf Apache Hadoop und auf Konzepten von BigTableFully managed big data interactive analytics platformRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primäres DatenbankmodellTime Series DBMSWide Column StoreRelational DBMS infocolumn orientedTime Series DBMSDocument Store
Key-Value Store
Relational DBMS
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
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,95
Rang#128  Overall
#10  Time Series DBMS
Punkte30,50
Rang#26  Overall
#2  Wide Column Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,20
Rang#319  Overall
#27  Time Series DBMS
Punkte1,72
Rang#144  Overall
#25  Document Stores
#25  Key-Value Stores
#66  Relational DBMS
Websitegriddb.nethbase.apache.orgazure.microsoft.com/­services/­data-explorerwww.tarantool.io
Technische Dokumentationdocs.griddb.nethbase.apache.org/­book.htmldocs.microsoft.com/­en-us/­azure/­data-explorerwww.tiot.jp/­riak-docs/­riak/­ts/­latestwww.tarantool.io/­en/­doc
EntwicklerToshiba CorporationApache Software Foundation infoApache Top-Level Projekt, ursprünglich entwickelt von PowersetMicrosoftOpen Source, formerly Basho TechnologiesVK
Erscheinungsjahr20132008201920152008
Aktuelle Version5.1, August 20222.3.4, Jaenner 2021cloud service with continuous releases3.0.0, September 20222.10.0, Mai 2022
Lizenz infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2kommerziellOpen SourceOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++JavaErlangC und C++
Server BetriebssystemeLinuxLinux
Unix
Windows infomit Cygwin
gehostetLinux
OS X
BSD
Linux
macOS
Datenschemajaschema-free, schema definition possibleFixed schema with schema-less datatypes (dynamic)schemafreiFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infonumerical, string, blob, geometry, boolean, timestampoptions to bring your own types, AVROja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesneinstring, double, decimal, uuid, integer, blob, boolean, datetime
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaneinnein
Sekundärindizesjaneinall fields are automatically indexedeingeschränktja
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)neinKusto Query Language (KQL), SQL subsetyes, limitedFull-featured ANSI SQL support
APIs und andere ZugriffskonzepteJDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP API
Native Erlang Interface
Open binary protocol
Unterstützte ProgrammiersprachenC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
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
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-seitige Scripts infoStored Proceduresneinja infoCoprocessors in JavaYes, possible languages: KQL, Python, RErlangLua, C and SQL stored procedures
Triggersjajaja 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 KnotenShardingShardingSharding infoImplicit feature of the cloud serviceShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica ReplikationMulti-Source Replikation
Source-Replica Replikation
ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.frei wählbarer ReplikationsfaktorAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoBietet ein API für Map/Reduce OperationenConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate consistency within container, eventual consistency across containersImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein infolinks between datasets can be storedyes
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID at container levelSingle row ACID (across millions of columns)neinneinACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajayes, write ahead logging
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinyes, full featured in-memory storage engine with persistence
Berechtigungskonzept infoZugriffskontrolleAccess rights for users can be defined per databaseAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAzure Active Directory AuthenticationneinAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Weitere Informationen bereitgestellt vom Systemhersteller
GridDBHBaseMicrosoft Azure Data ExplorerRiak TSTarantool
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
GridDBHBaseMicrosoft Azure Data ExplorerRiak TSTarantool
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Data processing speed and reliability: in-memory synchronous replication
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