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DBMS > ArangoDB vs. CrateDB vs. Datomic vs. Microsoft Azure Data Explorer vs. TimescaleDB

Vergleich der Systemeigenschaften ArangoDB vs. CrateDB vs. Datomic vs. Microsoft Azure Data Explorer vs. TimescaleDB

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NameArangoDB  Xaus Vergleich ausschliessenCrateDB  Xaus Vergleich ausschliessenDatomic  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTimescaleDB  Xaus Vergleich ausschliessen
KurzbeschreibungNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Verteilter Data Store basierend auf LuceneDBMS mit Fokus auf der Abspeicherung von historischen Daten und 'point-in-time queries'. Es verwendet Fremdsysteme zur Speicherung der DatenFully managed big data interactive analytics platformA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primäres DatenbankmodellDocument Store
Graph DBMS
Key-Value Store
Suchmaschine
Document Store
Spatial DBMS
Suchmaschine
Time Series DBMS
Vektor DBMS
Relational DBMSRelational 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
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte3,26
Rang#88  Overall
#15  Document Stores
#5  Graph DBMS
#12  Key-Value Stores
#10  Suchmaschinen
Punkte0,71
Rang#227  Overall
#37  Document Stores
#5  Spatial DBMS
#16  Suchmaschinen
#19  Time Series DBMS
#9  Vektor DBMS
Punkte1,66
Rang#144  Overall
#66  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte4,46
Rang#71  Overall
#5  Time Series DBMS
Websitearangodb.comcratedb.comwww.datomic.comazure.microsoft.com/­services/­data-explorerwww.timescale.com
Technische Dokumentationdocs.arangodb.comcratedb.com/­docsdocs.datomic.comdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.timescale.com
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
EntwicklerArangoDB Inc.CrateCognitectMicrosoftTimescale
Erscheinungsjahr20122013201220192017
Aktuelle Version3.11.5, November 20231.0.7075, Dezember 2023cloud service with continuous releases2.15.0, Mai 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Sourcekommerziell infoLimitierte Edition gratiskommerziellOpen Source infoApache 2.0
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.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.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.
ImplementierungsspracheC++JavaJava, ClojureC
Server BetriebssystemeLinux
OS X
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAlle Betriebssysteme mit einer Java VMgehostetLinux
OS X
Windows
Datenschemaschemafrei infoInnerhalb einer Collection wird das Schema automatisch erkanntFlexible Schema (defined schema, partial schema, schema free)jaFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infostring, double, boolean, list, hashjajaja 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, XSLTneinneinjaja
Sekundärindizesjajajaall fields are automatically indexedja
SQL infoSupport of SQLneinyes, but no triggers and constraints, and PostgreSQL compatibilityneinKusto Query Language (KQL), SQL subsetja infofull PostgreSQL SQL syntax
APIs und andere ZugriffskonzepteAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
RESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Unterstützte ProgrammiersprachenC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.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
Clojure
Java
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-seitige Scripts infoStored ProceduresJavaScriptbenutzerdefinierte Funktionenja infoTransaction FunctionsYes, possible languages: KQL, Python, Rbenutzerdefinierte Funktionen, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersneinneinBy using transaction functionsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoAb Version 2.0Shardingkeine infoBut extensive use of caching in the application peersSharding infoImplicit feature of the cloud serviceyes, across time and space (hash partitioning) attributes
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-replica replication with configurable replication factorConfigurable replication on table/partition-levelkeine infoBut extensive use of caching in the application peersja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation info
MapReduce infoBietet ein API für Map/Reduce Operationennein infoMöglich über stored procedures in JavaScriptneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infoEinstellbar per collection oder per Write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Eventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätja inforelationships in graphsneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDnein infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajaja infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)jaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinja inforecommended only for testing and developmentneinnein
Berechtigungskonzept infoZugriffskontrollejaRechteverwaltung mit BenutzeraccountsneinAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
ArangoDBCrateDBDatomicMicrosoft Azure Data ExplorerTimescaleDB
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» mehr
The enterprise database for time series, documents, and vectors. Distributed - Native...
» mehr
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» mehr
Response time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» mehr
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» mehr
​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» mehr
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» mehr
Across all continents, CrateDB is used by companies of all sizes to meet the most...
» mehr
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» mehr
The CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» mehr
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» mehr
See CrateDB pricing >
» mehr

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Weitere Ressourcen
ArangoDBCrateDBDatomicMicrosoft Azure Data ExplorerTimescaleDB
DB-Engines Blog Posts

The Weight of Relational Databases: Time for Multi-Model?
29. August 2017, Luca Olivari (guest author)

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