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

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

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Microsoft 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 modelRelational DBMSGraph 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
Score2.34
Rank#116  Overall
#7  Graph DBMS
Score118.45
Rank#11  Overall
#7  Relational DBMS
Score5.92
Rank#63  Overall
#9  Key-value stores
Websiteclickhouse.techjanusgraph.orgwww.microsoft.com/­en-us/­microsoft-365/­accessriak.com/­products/­riak-kv
Technical documentationclickhouse.tech/­docsdocs.janusgraph.orgdeveloper.microsoft.com/­en-us/­access
DeveloperYandex LLCLinux Foundation; originally developed as Titan by AureliusMicrosoftBasho Technologies
Initial release2016201719922009
Current releasev20.3.17.173, August 20200.5.2, May 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

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Implementation languageC++JavaC++Erlang
Server operating systemsFreeBSD
Linux
macOS
Linux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLsLinux
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 SQLnoyes infobut not compliant to any SQL standardno
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
DAO
ODBC
OLE DB
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
Clojure
Java
Python
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 proceduresnoyesyes infosince Access 2010 using the ACE-engineJavaScript and Erlang
Triggersnoyesyes infosince Access 2010 using the ACE-engineyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes 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.yes
User concepts infoAccess controlAccess rights for users and rolesUser authentification and security via Rexster Graph Serverno infoa simple user-level security was built in till version Access 2003no

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More resources
ClickHouseJanusGraph infosuccessor of TitanMicrosoft AccessRiak KV
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