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DBMS > Amazon Neptune vs. ClickHouse vs. EDB Postgres vs. Microsoft Azure Data Explorer vs. Sphinx

Vergleich der Systemeigenschaften Amazon Neptune vs. ClickHouse vs. EDB Postgres vs. Microsoft Azure Data Explorer vs. Sphinx

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NameAmazon Neptune  Xaus Vergleich ausschliessenClickHouse  Xaus Vergleich ausschliessenEDB Postgres  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSphinx  Xaus Vergleich ausschliessen
KurzbeschreibungFast, reliable graph database built for the cloudA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Fully managed big data interactive analytics platformOpen Source Suchmaschine zum Suchen in Daten aus verschiedenen Quellen, u.a. relationalen Datenbanken
Primäres DatenbankmodellGraph DBMS
RDF Store
Relational DBMSRelational DBMSRelational DBMS infocolumn orientedSuchmaschine
Sekundäre DatenbankmodelleTime Series DBMSDocument Store
Spatial 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
Punkte2,20
Rang#119  Overall
#9  Graph DBMS
#5  RDF Stores
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte1,90
Rang#135  Overall
#63  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte5,98
Rang#56  Overall
#5  Suchmaschinen
Websiteaws.amazon.com/­neptuneclickhouse.comwww.enterprisedb.comazure.microsoft.com/­services/­data-explorersphinxsearch.com
Technische Dokumentationaws.amazon.com/­neptune/­developer-resourcesclickhouse.com/­docswww.enterprisedb.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorersphinxsearch.com/­docs
EntwicklerAmazonClickhouse Inc.EnterpriseDBMicrosoftSphinx Technologies Inc.
Erscheinungsjahr20172016200520192001
Aktuelle Versionv24.4.1.2088-stable, Mai 202414, Dezember 2021cloud service with continuous releases3.5.1, Februar 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache 2.0kommerziell infoBSD for PostgreSQL-componentskommerziellOpen Source infoGPL Version 2, kommerzielle Lizenz erhältlich
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
ImplementierungsspracheC++CC++
Server BetriebssystemegehostetFreeBSD
Linux
macOS
Linux
Windows
gehostetFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
DatenschemaschemafreijajaFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja 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, XSLTneinneinja infospecific XML-type available, but no XML query functionality.ja
Sekundärindizesneinyesjaall fields are automatically indexedja infoFull-Text Index auf allen Suchfeldern
SQL infoSupport of SQLneinClose to ANSI SQL (SQL/JSON + extensions)ja infoStandard mit zahlreichen ErweiterungenKusto Query Language (KQL), SQL subsetSQL-like query language (SphinxQL)
APIs und andere ZugriffskonzepteOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietäres Protokoll
Unterstützte ProgrammiersprachenC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++ infoinoffizielle Client Library
Java
Perl infoinoffizielle Client Library
PHP
Python
Ruby infoinoffizielle Client Library
Server-seitige Scripts infoStored Proceduresneinjabenutzerdefinierte Funktionen inforealisiert z.B. mit spezifischer Sprache PL/pgSQL, aber auch andere Sprachen möglich (Perl, Python, Tcl, etc.)Yes, 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 Knotenkeinekey based and customhorizontale Partitionierung infoby hash, list or rangeSharding infoImplicit feature of the cloud serviceSharding infoAufteilung der Daten erfolgt manuell, Suchabfragen auf verteilten Index werden unterstützt.
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-Source Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keine
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infoRelationships in graphsneinjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACIDneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajayes, multi-version concurrency control (MVCC)jaja
Durability infoDauerhafte Speicherung der Datenja infowith encyption-at-restjajajaja infoDer Originalinhalt von Feldern wird nicht im Sphinx-Index gespeichert.
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinnein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory Authenticationnein

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Weitere Ressourcen
Amazon NeptuneClickHouseEDB PostgresMicrosoft Azure Data ExplorerSphinx
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