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DBMS > Apache Druid vs. ClickHouse vs. Hazelcast vs. Microsoft Azure Data Explorer vs. SwayDB

Vergleich der Systemeigenschaften Apache Druid vs. ClickHouse vs. Hazelcast vs. Microsoft Azure Data Explorer vs. SwayDB

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NameApache Druid  Xaus Vergleich ausschliessenClickHouse  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSwayDB  Xaus Vergleich ausschliessen
KurzbeschreibungOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA 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.A widely adopted in-memory data gridFully managed big data interactive analytics platformAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Relational DBMSKey-Value StoreRelational DBMS infocolumn orientedKey-Value Store
Sekundäre DatenbankmodelleTime Series DBMSDocument Store infoJSON support with IMDG 3.12Document 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
Punkte3,34
Rang#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte5,97
Rang#57  Overall
#6  Key-Value Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,00
Rang#382  Overall
#59  Key-Value Stores
Websitedruid.apache.orgclickhouse.comhazelcast.comazure.microsoft.com/­services/­data-explorerswaydb.simer.au
Technische Dokumentationdruid.apache.org/­docs/­latest/­designclickhouse.com/­docshazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerApache Software Foundation and contributorsClickhouse Inc.HazelcastMicrosoftSimer Plaha
Erscheinungsjahr20122016200820192018
Aktuelle Version29.0.1, April 2024v24.4.1.2088-stable, Mai 20245.3.6, November 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablekommerziellOpen Source infoGNU Affero GPL V3.0
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.
  • 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.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
ImplementierungsspracheJavaC++JavaScala
Server BetriebssystemeLinux
OS X
Unix
FreeBSD
Linux
macOS
Alle Betriebssysteme mit einer Java VMgehostet
Datenschemaja infoschema-less columns are supportedjaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei
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 infothe object must implement a serialization strategyjanein
Sekundärindizesjayesjaall fields are automatically indexednein
SQL infoSupport of SQLSQL for queryingClose to ANSI SQL (SQL/JSON + extensions)SQL-like query languageKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteJDBC
RESTful HTTP/JSON API
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
JCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenClojure
JavaScript
PHP
Python
R
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++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Java
Kotlin
Scala
Server-seitige Scripts infoStored Proceduresneinjaja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, Rnein
Triggersneinneinja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infomanual/auto, time-basedkey based and customShardingSharding infoImplicit feature of the cloud servicekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja, durch HDFS, S3 oder andere Storage EnginesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.ja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keine
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 ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenneinneinone or two-phase-commit; repeatable reads; read commitedneinAtomic execution of operations
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 haltenneinjajaneinja
Berechtigungskonzept infoZugriffskontrolleRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess 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.Role-based access controlAzure Active Directory Authenticationnein

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Weitere Ressourcen
Apache DruidClickHouseHazelcastMicrosoft Azure Data ExplorerSwayDB
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