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DBMS > Amazon Aurora vs. Memgraph vs. Microsoft Azure Data Explorer vs. Vertica vs. XTDB

Vergleich der Systemeigenschaften Amazon Aurora vs. Memgraph vs. Microsoft Azure Data Explorer vs. Vertica vs. XTDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Aurora  Xaus Vergleich ausschliessenMemgraph  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessenXTDB infoformerly named Crux  Xaus Vergleich ausschliessen
KurzbeschreibungMySQL und PostgreSQL kompatibles RDBMS Cloud-Service von AmazonAn open source graph database built for real-time streaming and compatible with Neo4jFully managed big data interactive analytics platformCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.A general purpose database with bitemporal SQL and Datalog and graph queries
Primäres DatenbankmodellRelational DBMSGraph DBMSRelational DBMS infocolumn orientedRelational DBMS infoColumn orientedDocument Store
Sekundäre DatenbankmodelleDocument StoreDocument 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
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte7,57
Rang#51  Overall
#32  Relational DBMS
Punkte3,19
Rang#94  Overall
#8  Graph DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte10,06
Rang#42  Overall
#26  Relational DBMS
Punkte0,18
Rang#332  Overall
#46  Document Stores
Websiteaws.amazon.com/­rds/­auroramemgraph.comazure.microsoft.com/­services/­data-explorerwww.vertica.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technische Dokumentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlmemgraph.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorervertica.com/­documentationwww.xtdb.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
EntwicklerAmazonMemgraph LtdMicrosoftOpenText infopreviously Micro Focus and Hewlett PackardJuxt Ltd.
Erscheinungsjahr20152017201920052019
Aktuelle Versioncloud service with continuous releases12.0.3, Jänner 20231.19, September 2021
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoBSL 1.1; commercial license for enterprise edition availablekommerziellkommerziell infoLimitierte Community Edition gratisOpen Source infoMIT License
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinjanein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC und C++C++Clojure
Server BetriebssystemegehostetLinuxgehostetLinuxAlle Betriebssysteme mit einer Java 8 (und höher) VM
Linux
Datenschemajaschemafrei und schema-optionalFixed schema with schema-less datatypes (dynamic)Yes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinjaneinnein
Sekundärindizesjaall fields are automatically indexedNo Indexes Required. Different internal optimization strategy, but same functionality included.ja
SQL infoSupport of SQLjaneinKusto Query Language (KQL), SQL subsetFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.eingeschränktes SQL mittels Apache Calcite
APIs und andere ZugriffskonzepteADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
HTTP REST
JDBC
Unterstützte ProgrammiersprachenAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Clojure
Java
Server-seitige Scripts infoStored ProceduresjaYes, possible languages: KQL, Python, Ryes, PostgreSQL PL/pgSQL, with minor differencesnein
Triggersjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes, called Custom Alertsnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale PartitionierungSharding infodynamic graph partitioningSharding infoImplicit feature of the cloud servicehorizontal partitioning, hierarchical partitioningkeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica ReplikationMulti-source replication using RAFTja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.ja, jeder Knoten hat alle Daten
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno infoBi-directional Spark integrationnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaja inforelationships in graphsneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACID infowith snapshot isolationneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjayes, multi-version concurrency control (MVCC)jajaja
Durability infoDauerhafte Speicherung der Datenjaja infowith periodic snapshot and write-ahead logging (WAL) of changesjajayes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinnein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardUsers, roles and permissionsAzure Active Directory Authenticationfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon AuroraMemgraphMicrosoft Azure Data ExplorerVertica infoOpenText™ Vertica™XTDB infoformerly named Crux
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» mehr
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» mehr
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» mehr
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» mehr
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» mehr
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» mehr
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» mehr
Cost-based models and subscription-based models are both available. One license is...
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Weitere Ressourcen
Amazon AuroraMemgraphMicrosoft Azure Data ExplorerVertica infoOpenText™ Vertica™XTDB infoformerly named Crux
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