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DBMS > Amazon Redshift vs. ClickHouse vs. Datastax Enterprise vs. Microsoft Access

System Properties Comparison Amazon Redshift vs. ClickHouse vs. Datastax Enterprise vs. Microsoft Access

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsColumn-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.)
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.61
Rank#30  Overall
#18  Relational DBMS
Score3.27
Rank#91  Overall
#45  Relational DBMS
Score9.80
Rank#43  Overall
#4  Wide column stores
Score135.33
Rank#9  Overall
#6  Relational DBMS
Websiteaws.amazon.com/­redshiftclickhouse.yandexwww.datastax.com/­products/­datastax-enterpriseproducts.office.com/­en-us/­access
Technical documentationdocs.aws.amazon.com/­redshiftclickhouse.yandex/­docsdocs.datastax.commsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperAmazon (based on PostgreSQL)Yandex LLCDataStaxMicrosoft
Initial release2012201620111992
Current releasev19.3.5, April 20196.7, December 20181902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++
Server operating systemshostedLinux
OS X
Windows infoNot a real database server, but making use of DLLs
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statements (CQL); Spark SQLyes infobut not compliant to any SQL standard
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
DAO
OLE DB
ADO.NET
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes infosince Access 2010 using the ACE-engine
Triggersnoyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter aware, advanced replication for edge computingnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
Amazon RedshiftClickHouseDatastax EnterpriseMicrosoft Access
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» 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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Related products and services
3rd partiesDBHawk: a web-based Amazon Redshift Workbench and Cloud database tool.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Dremio is like magic for Redshift accelerating your analytical queries up to 1,000x.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon RedshiftClickHouseDatastax EnterpriseMicrosoft Access
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