DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von solid IT

DBMS > Citus vs. ClickHouse vs. EXASOL vs. H2 vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Citus vs. ClickHouse vs. EXASOL vs. H2 vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameCitus  Xaus Vergleich ausschliessenClickHouse  Xaus Vergleich ausschliessenEXASOL  Xaus Vergleich ausschliessenH2  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA 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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Fully managed big data interactive analytics platform
Primäres DatenbankmodellRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS infocolumn oriented
Sekundäre DatenbankmodelleDocument StoreTime Series DBMSSpatial 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
Punkte2,15
Rang#117  Overall
#56  Relational DBMS
Punkte15,55
Rang#38  Overall
#23  Relational DBMS
Punkte1,76
Rang#139  Overall
#62  Relational DBMS
Punkte8,33
Rang#46  Overall
#30  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Websitewww.citusdata.comclickhouse.comwww.exasol.comwww.h2database.comazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdocs.citusdata.comclickhouse.com/­docswww.exasol.com/­resourceswww.h2database.com/­html/­main.htmldocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerClickhouse Inc.ExasolThomas MuellerMicrosoft
Erscheinungsjahr20102016200020052019
Aktuelle Version8.1, Dezember 2018v24.4.1.2088-stable, Mai 20242.2.220, Juli 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0kommerziellOpen Source infodual-licence (Mozilla public license, Eclipse public license)kommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinja
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.
ImplementierungsspracheCC++Java
Server BetriebssystemeLinuxFreeBSD
Linux
macOS
Alle Betriebssysteme mit einer Java VMgehostet
DatenschemajajajajaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTja infospecific XML type available, but no XML query functionalityneinneinneinja
Sekundärindizesjayesjajaall fields are automatically indexed
SQL infoSupport of SQLja infostandard, with numerous extensionsClose to ANSI SQL (SQL/JSON + extensions)jajaKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte Programmiersprachen.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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
Java
Lua
Python
R
Java.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.jabenutzerdefinierte FunktionenJava Stored Procedures and User-Defined FunctionsYes, possible languages: KQL, Python, R
Triggersjaneinjajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkey based and customShardingkeineSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica Replikation infoother methods possible by using 3rd party extensionsAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.With clustering: 2 database servers on different computers operate on identical copies of a databaseja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinja infoHadoop integrationneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinjajanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACIDACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjajajanein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAccess 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.Access rights for users, groups and roles according to SQL-standardBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory Authentication

Weitere Informationen bereitgestellt vom Systemhersteller

Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

Zugehörige Produkte und Dienstleistungen
DrittanbieterAiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» mehr

DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» mehr

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
CitusClickHouseEXASOLH2Microsoft Azure Data Explorer
Erwähnungen in aktuellen Nachrichten

Ubicloud wants to build an open source alternative to AWS
5. März 2024, TechCrunch

Ubicloud reels in $16M for its open-source cloud platform
5. März 2024, SiliconANGLE News

Microsoft acquires Citus Data, re-affirming its commitment to Open Source and accelerating Azure PostgreSQL ...
24. Januar 2019, blogs.microsoft.com

Distributed PostgreSQL Benchmarks: Azure Cosmos DB, CockroachDB, and YugabyteDB
8. Juli 2023, InfoQ.com

Microsoft Benchmarks Distributed PostgreSQL DBs
10. Juli 2023, Datanami

bereitgestellt von Google News

Intel Xeon 6766E/6780E Sierra Forest vs. Ampere Altra Performance & Power Efficiency Review
5. Juni 2024, Phoronix

Why Clickhouse Should Be Your Next Database
6. Juli 2023, The New Stack

ClickHouse Cloud & Amazon S3 Express One Zone: Making a blazing fast analytical database even faster | Amazon ...
28. November 2023, AWS Blog

A 1000x Faster Database Solution: ClickHouse’s Aaron Katz
1. November 2023, GrowthCap

From Open Source to SaaS: the Journey of ClickHouse
16. Januar 2024, InfoQ.com

bereitgestellt von Google News

It's Back to the Database Future for Exasol CEO Tewes
26. Oktober 2023, Datanami

Exasol Finds AI Underinvestment Leads to Business Failure, But Data Challenges Stall Rapid Adoption
14. Mai 2024, insideBIGDATA

Mathias Golombek, Chief Technology Officer of Exasol – Interview Series
21. Mai 2024, Unite.AI

Exasol gets jolt of AI with Espresso suite of capabilities
26. Februar 2024, TechTarget

Exasol Unveils New Suite of AI Tools to Turbocharge Enterprise Data Analytics
22. Februar 2024, AiThority

bereitgestellt von Google News

We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates
31. Mai 2024, Microsoft

Update records in a Kusto Database (public preview) | Azure updates
20. Februar 2024, Microsoft

Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates
8. Januar 2024, Microsoft

Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ...
5. Februar 2024, Microsoft

New Features for graph-match KQL Operator: Enhanced Pattern Matching and Cycle Control | Azure updates
24. Januar 2024, Microsoft

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Präsentieren Sie hier Ihr Produkt