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DBMS > ClickHouse vs. Datastax Enterprise vs. Microsoft Access vs. Spark SQL

System Properties Comparison ClickHouse vs. Datastax Enterprise vs. Microsoft Access vs. Spark SQL

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSpark SQL  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.Microsoft 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.)Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.29
Rank#69  Overall
#37  Relational DBMS
Score7.62
Rank#47  Overall
#4  Wide column stores
Score119.90
Rank#10  Overall
#7  Relational DBMS
Score17.77
Rank#33  Overall
#20  Relational DBMS
Websiteclickhouse.techwww.datastax.com/­products/­datastax-enterpriseproducts.office.com/­en-us/­accessspark.apache.org/­sql
Technical documentationclickhouse.tech/­docsdocs.datastax.commsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperYandex LLCDataStaxMicrosoftApache Software Foundation
Initial release2016201119922014
Current releasev20.3.8.53, April 20206.8, April 20201902 (16.0.11328.20222), March 20192.4.5, February 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
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 languageC++JavaC++Scala
Server operating systemsFreeBSD
Linux
macOS
Linux
OS X
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
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.nonono
Secondary indexesnoyesyesno
SQL infoSupport of SQLClose to ANSI SQLSQL-like DML and DDL statements (CQL); Spark SQLyes infobut not compliant to any SQL standardSQL-like DML and DDL statements
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
DAO
ODBC
OLE DB
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
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineno
Triggersnoyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACID 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.yesyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per objectno infoa simple user-level security was built in till version Access 2003no
More information provided by the system vendor
ClickHouseDatastax EnterpriseMicrosoft AccessSpark SQL
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
ClickHouseDatastax EnterpriseMicrosoft AccessSpark SQL
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