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DBMS > ClickHouse vs. Datastax Enterprise vs. MarkLogic vs. Microsoft Access vs. Yaacomo

System Properties Comparison ClickHouse vs. Datastax Enterprise vs. MarkLogic vs. Microsoft Access vs. Yaacomo

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Operational and transactional Enterprise NoSQL databaseMicrosoft 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.)OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSWide column storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.20
Rank#81  Overall
#41  Relational DBMS
Score9.15
Rank#42  Overall
#4  Wide column stores
Score13.06
Rank#38  Overall
#6  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score131.18
Rank#9  Overall
#6  Relational DBMS
Score0.00
Rank#343  Overall
#140  Relational DBMS
Websiteclickhouse.yandexwww.datastax.com/­products/­datastax-enterprisewww.marklogic.comproducts.office.com/­en-us/­accessyaacomo.com
Technical documentationclickhouse.yandex/­docsdocs.datastax.comdocs.marklogic.commsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperYandex LLCDataStaxMarkLogic Corp.MicrosoftQ2WEB GmbH
Initial release20162011200119922009
Current releasev19.13.3.26, August 20196.7, December 20189.0, 20171902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial inforestricted free version is availablecommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsAndroid
Linux
Windows
Data schemeschema-freeschema-free infoSchema can be enforcedyesyes
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyes infoSQL92yes infobut not compliant to any SQL standardyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
DAO
OLE DB
ADO.NET
ODBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptyes infosince Access 2010 using the ACE-engine
Triggersyesyesyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyesnoneMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID infocan act as a resource manager in an XA/JTA transactionACID infobut no files for transaction loggingACID
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.yesyes, with Range Indexesyes
User concepts infoAccess controlAccess rights for users can be defined per objectRole-based access control at the document and subdocument levelsno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard
More information provided by the system vendor
ClickHouseDatastax EnterpriseMarkLogicMicrosoft AccessYaacomo
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
The MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
The main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
MarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
MarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
MarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsAnnual subscription
» more
MarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more

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More resources
ClickHouseDatastax EnterpriseMarkLogicMicrosoft AccessYaacomo
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