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DBMS > ClickHouse vs. dBASE vs. Google Cloud Bigtable vs. Microsoft Azure Data Explorer vs. QuestDB

Vergleich der Systemeigenschaften ClickHouse vs. dBASE vs. Google Cloud Bigtable vs. Microsoft Azure Data Explorer vs. QuestDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessendBASE  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenQuestDB  Xaus Vergleich ausschliessen
KurzbeschreibungA 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.dBase war eine der ersten Datenbanken mit einer eigenen Entwicklungsumgebung auf PC's. Die letzte Version dbase V wird als dBase classic weiter vertrieben und benötigt eine DOS-Emulation. Das aktuelle Produkt ist aber dBase Plus.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Fully managed big data interactive analytics platformA high performance open source SQL database for time series data
Primäres DatenbankmodellRelational DBMSRelational DBMSKey-Value Store
Wide Column Store
Relational DBMS infocolumn orientedTime Series DBMS
Sekundäre DatenbankmodelleTime Series 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
Punkte15,55
Rang#38  Overall
#23  Relational DBMS
Punkte9,70
Rang#44  Overall
#28  Relational DBMS
Punkte3,15
Rang#95  Overall
#14  Key-Value Stores
#8  Wide Column Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte2,70
Rang#105  Overall
#8  Time Series DBMS
Websiteclickhouse.comwww.dbase.comcloud.google.com/­bigtableazure.microsoft.com/­services/­data-explorerquestdb.io
Technische Dokumentationclickhouse.com/­docswww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerquestdb.io/­docs
EntwicklerClickhouse Inc.Asthon TateGoogleMicrosoftQuestDB Technology Inc
Erscheinungsjahr20161979201520192014
Aktuelle Versionv24.4.1.2088-stable, Mai 2024dBASE 2019, 2019cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellkommerziellkommerziellOpen Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjajanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • 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.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
ImplementierungsspracheC++Java (Zero-GC), C++, Rust
Server BetriebssystemeFreeBSD
Linux
macOS
DOS infodBase Classic
Windows infodBase Pro
gehostetgehostetLinux
macOS
Windows
DatenschemajajaschemafreiFixed schema with schema-less datatypes (dynamic)ja infoschema-free via InfluxDB Line Protocol
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaneinja 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, XSLTneinneinjanein
Sekundärindizesyesjaneinall fields are automatically indexednein
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)neinneinKusto Query Language (KQL), SQL subsetSQL with time-series extensions
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
keine infoMit der Entwicklungsumgebung kann aber auf andere DBMS oder ODBC-Datenquellen zugegriffen werdengRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Unterstützte ProgrammiersprachenC# 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
dBase eigene IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-seitige Scripts infoStored Proceduresjanein infoDie IDE kann stored procedures in anderen Datenquellen aufrufen.neinYes, possible languages: KQL, Python, Rnein
Triggersneinneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customkeineShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning (by timestamps)
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.keineInternal replication in Colossus, and regional replication between two clusters in different zonesja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with eventual consistency
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenneinnein infoNicht für dBase interne Daten, wohl aber Unterstützung durch die IDE beim Zugriff auf externe DBMSAtomic single-row operationsneinACID for single-table writes
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 haltenjaneinneinja infothrough memory mapped files
Berechtigungskonzept infoZugriffskontrolleAccess 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.Zugriffsrechte für Benutzer und RollenAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Azure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
ClickHousedBASEGoogle Cloud BigtableMicrosoft Azure Data ExplorerQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» mehr
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» mehr
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» mehr
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» mehr
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» mehr
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Zugehörige Produkte und Dienstleistungen
DrittanbieterDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» mehr

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» mehr

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Weitere Ressourcen
ClickHousedBASEGoogle Cloud BigtableMicrosoft Azure Data ExplorerQuestDB
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