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DBMS > Badger vs. ClickHouse vs. Microsoft Access vs. Riak KV

System Properties Comparison Badger vs. ClickHouse vs. Microsoft Access vs. Riak KV

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonClickHouse  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Column-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.)Distributed, fault tolerant key-value store
Primary database modelKey-value storeRelational 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
Score0.18
Rank#280  Overall
#48  Key-value stores
Score6.60
Rank#58  Overall
#32  Relational DBMS
Score118.45
Rank#11  Overall
#7  Relational DBMS
Score5.92
Rank#63  Overall
#9  Key-value stores
Websitegithub.com/­dgraph-io/­badgerclickhouse.techwww.microsoft.com/­en-us/­microsoft-365/­accessriak.com/­products/­riak-kv
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerclickhouse.tech/­docsdeveloper.microsoft.com/­en-us/­access
DeveloperDGraph LabsYandex LLCMicrosoftBasho Technologies
Initial release2017201619922009
Current releasev20.3.17.173, August 20201902 (16.0.11328.20222), March 20192.1.0, April 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++Erlang
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 indexesnonoyesrestricted
SQL infoSupport of SQLnoClose to ANSI SQLyes infobut not compliant to any SQL standardno
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Native Erlang Interface
Supported programming languagesGoC# 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 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 proceduresnonoyes infosince Access 2010 using the ACE-engineJavaScript and Erlang
Triggersnonoyes infosince Access 2010 using the ACE-engineyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights for users and rolesno infoa simple user-level security was built in till version Access 2003no

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More resources
BadgerClickHouseMicrosoft AccessRiak KV
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