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DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. CrateDB vs. Microsoft Azure Data Explorer vs. Riak TS

Vergleich der Systemeigenschaften Apache Phoenix vs. Atos Standard Common Repository vs. CrateDB vs. Microsoft Azure Data Explorer vs. Riak TS

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Phoenix  Xaus Vergleich ausschliessenAtos Standard Common Repository  Xaus Vergleich ausschliessenCrateDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRiak TS  Xaus Vergleich ausschliessen
This system has been discontinued and will be removed from the DB-Engines ranking.
KurzbeschreibungA scale-out RDBMS with evolutionary schema built on Apache HBaseHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksVerteilter Data Store basierend auf LuceneFully managed big data interactive analytics platformRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primäres DatenbankmodellRelational DBMSDocument Store
Key-Value Store
Document Store
Spatial DBMS
Suchmaschine
Time Series DBMS
Vektor DBMS
Relational DBMS infocolumn orientedTime Series DBMS
Sekundäre DatenbankmodelleRelational DBMSDocument 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
Punkte1,97
Rang#126  Overall
#59  Relational DBMS
Punkte0,73
Rang#224  Overall
#37  Document Stores
#5  Spatial DBMS
#16  Suchmaschinen
#19  Time Series DBMS
#8  Vektor DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,20
Rang#319  Overall
#27  Time Series DBMS
Websitephoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorycratedb.comazure.microsoft.com/­services/­data-explorer
Technische Dokumentationphoenix.apache.orgcratedb.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerwww.tiot.jp/­riak-docs/­riak/­ts/­latest
EntwicklerApache Software FoundationAtos Convergence CreatorsCrateMicrosoftOpen Source, formerly Basho Technologies
Erscheinungsjahr20142016201320192015
Aktuelle Version5.0-HBase2, July 2018 and 4.15-HBase1, December 20191703cloud service with continuous releases3.0.0, September 2022
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0kommerziellOpen SourcekommerziellOpen Source
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.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
ImplementierungsspracheJavaJavaJavaErlang
Server BetriebssystemeLinux
Unix
Windows
LinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportgehostetLinux
OS X
Datenschemaja infolate-bound, schema-on-read capabilitiesSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)Fixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejaoptionaljaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesnein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinjanein
Sekundärindizesjajajaall fields are automatically indexedeingeschränkt
SQL infoSupport of SQLjaneinyes, but no triggers and constraints, and PostgreSQL compatibilityKusto Query Language (KQL), SQL subsetyes, limited
APIs und andere ZugriffskonzepteJDBCLDAPADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP API
Native Erlang Interface
Unterstützte ProgrammiersprachenC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindings.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.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
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionenneinbenutzerdefinierte FunktionenYes, possible languages: KQL, Python, RErlang
Triggersneinjaneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infopre-commit hooks and post-commit hooks
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infocell divisionShardingSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation
Source-Replica Replikation
jaConfigurable replication on table/partition-levelja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.frei wählbarer Replikationsfaktor
MapReduce infoBietet ein API für Map/Reduce OperationenHadoop integrationneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Read-after-write consistency on record level
Eventual Consistency
Immediate Consistency
Eventual Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein infolinks between datasets can be stored
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDAtomic execution of specific operationsnein infounique row identifiers can be used for implementing an optimistic concurrency control strategyneinnein
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 haltenjajaneinnein
Berechtigungskonzept infoZugriffskontrolleAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authenticationRechteverwaltung mit BenutzeraccountsAzure Active Directory Authenticationnein
Weitere Informationen bereitgestellt vom Systemhersteller
Apache PhoenixAtos Standard Common RepositoryCrateDBMicrosoft Azure Data ExplorerRiak TS
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» mehr
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» mehr
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» mehr
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» mehr
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» mehr
Licensing and pricing modelsSee CrateDB pricing >
» mehr

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Weitere Ressourcen
Apache PhoenixAtos Standard Common RepositoryCrateDBMicrosoft Azure Data ExplorerRiak TS
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