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DBMS > ClickHouse vs. Hazelcast vs. Machbase vs. Microsoft Azure SQL Database

System Properties Comparison ClickHouse vs. Hazelcast vs. Machbase vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonHazelcast  Xexclude from comparisonMachbase infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexA widely adopted in-memory data gridTimeSeries DBMS for IoT and BigDataDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.61
Rank#54  Overall
#31  Relational DBMS
Score8.77
Rank#48  Overall
#5  Key-value stores
Score0.25
Rank#267  Overall
#21  Time Series DBMS
Score71.36
Rank#15  Overall
#10  Relational DBMS
Websiteclickhouse.techhazelcast.comwww.machbase.comazure.microsoft.com/­en-us/­services/­sql-database
Technical documentationclickhouse.tech/­docshazelcast.org/­imdg/­docsendoc.machbase.comdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperYandex LLCHazelcastMachbaseMicrosoft
Initial release2016200820132010
Current releasev20.11.3.3-stable, November 20204.1.1, December 2020V4.0V12
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercial infofree test version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaCC++
Server operating systemsFreeBSD
Linux
macOS
All OS with a Java VMLinux
Windows
hosted
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes infothe object must implement a serialization strategynoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to ANSI SQLSQL-like query languageSQL-like query languageyes
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC# 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
Scala info3rd party library
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesnoTransact SQL
Triggersnoyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapselectable replication factoryes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infovolatile and lookup table
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlsimple password-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
ClickHouseHazelcastMachbase infoFormer name was InfinifluxMicrosoft Azure SQL Database infoformerly SQL Azure
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Machbase is an extremely fast time series database which processes large volumes...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Fastest Database for IIoT, Independently verified, on Industry Standard Benchmarks....
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Distributed Query In Machbase Cluster Edition, a broker node, which is responsible...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Samsung, POSCO, Hyundai
» more
Market metricsReal-time data processing Real-time index creation Optimized DBMS for processing...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more
Machbase provide several product editions, including: Intelligent Edge Device, Fog...
» more

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More resources
ClickHouseHazelcastMachbase infoFormer name was InfinifluxMicrosoft Azure SQL Database infoformerly SQL Azure
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