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

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

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBlueflood  Xexclude from comparisonClickHouse  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsScalable TimeSeries DBMS based on CassandraColumn-oriented Relational DBMS powering YandexData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
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
Score18.75
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­redshiftblueflood.ioclickhouse.techwww.ibm.com/­analytics/­netezza
Technical documentationdocs.aws.amazon.com/­redshiftgithub.com/­rackerlabs/­blueflood/­wikiclickhouse.tech/­docs
DeveloperAmazon (based on PostgreSQL)RackspaceYandex LLCIBM
Initial release2012201320162000
Current releasev19.13.3.26, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial
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 languageCJava
Server operating systemshostedLinux
OS X
Linux infoincluded in appliance
Data schemeyespredefined schemeyes
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 indexesrestrictednoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyes
APIs and other access methodsJDBC
ODBC
HTTP RESTJDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes
Triggersnonono
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 CassandraMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept

More information provided by the system vendor

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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 RedshiftBluefloodClickHouseNetezza infoAlso called PureData System for Analytics by IBM
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