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DBMS > ClickHouse vs. Microsoft Access vs. Microsoft Azure SQL Data Warehouse vs. Riak KV

System Properties Comparison ClickHouse vs. Microsoft Access vs. Microsoft Azure SQL Data Warehouse vs. Riak KV

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure SQL Data Warehouse  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.60
Rank#58  Overall
#32  Relational DBMS
Score118.45
Rank#11  Overall
#7  Relational DBMS
Score8.79
Rank#46  Overall
#28  Relational DBMS
Score5.92
Rank#63  Overall
#9  Key-value stores
Websiteclickhouse.techwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­services/­sql-data-warehouseriak.com/­products/­riak-kv
Technical documentationclickhouse.tech/­docsdeveloper.microsoft.com/­en-us/­accessdocs.microsoft.com/­azure/­sql-data-warehouse
DeveloperYandex LLCMicrosoftMicrosoftBasho Technologies
Initial release2016199220162009
Current releasev20.3.17.173, August 20201902 (16.0.11328.20222), March 20192.1.0, April 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficecommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++Erlang
Server operating systemsFreeBSD
Linux
macOS
Windows infoNot a real database server, but making use of DLLshostedLinux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesnoyesyesrestricted
SQL infoSupport of SQLClose to ANSI SQLyes infobut not compliant to any SQL standardyesno
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
HTTP API
Native Erlang Interface
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
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
PHP
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineTransact SQLJavaScript and Erlang
Triggersnoyes infosince Access 2010 using the ACE-enginenoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesno infoa simple user-level security was built in till version Access 2003yesno

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More resources
ClickHouseMicrosoft AccessMicrosoft Azure SQL Data WarehouseRiak KV
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