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DBMS > Amazon Redshift vs. Blueflood vs. ClickHouse vs. MarkLogic

System Properties Comparison Amazon Redshift vs. Blueflood vs. ClickHouse vs. MarkLogic

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBlueflood  Xexclude from comparisonClickHouse  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsScalable TimeSeries DBMS based on CassandraColumn-oriented Relational DBMS powering YandexOperational and transactional Enterprise NoSQL database
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.97
Rank#32  Overall
#19  Relational DBMS
Score0.10
Rank#280  Overall
#22  Time Series DBMS
Score3.89
Rank#75  Overall
#39  Relational DBMS
Score12.25
Rank#39  Overall
#7  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Websiteaws.amazon.com/­redshiftblueflood.ioclickhouse.techwww.marklogic.com
Technical documentationdocs.aws.amazon.com/­redshiftgithub.com/­rackerlabs/­blueflood/­wikiclickhouse.tech/­docsdocs.marklogic.com
DeveloperAmazon (based on PostgreSQL)RackspaceYandex LLCMarkLogic Corp.
Initial release2012201320162001
Current releasev19.13.3.26, August 20199.0, 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial inforestricted free version is available
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
Linux
OS X
Windows
Data schemeyespredefined schemeschema-free infoSchema can be enforced
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.nonoyes
Secondary indexesrestrictednoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyes infoSQL92
APIs and other access methodsJDBC
ODBC
HTTP RESTJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes infovia XQuery or JavaScript
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, with Range Indexes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole-based access control at the document and subdocument levels
More information provided by the system vendor
Amazon RedshiftBluefloodClickHouseMarkLogic
Specific characteristicsThe MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesThe main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenariosMarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customersMarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsMarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsMarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDBHawk: a web-based Amazon Redshift Workbench and Cloud database tool.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Dremio is like magic for Redshift accelerating your analytical queries up to 1,000x.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon RedshiftBluefloodClickHouseMarkLogic
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