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DBMS > ClickHouse vs. Hypertable vs. Infobright vs. SAP HANA

System Properties Comparison ClickHouse vs. Hypertable vs. Infobright vs. SAP HANA

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonHypertable  Xexclude from comparisonInfobright  Xexclude from comparisonSAP HANA  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionColumn-oriented Relational DBMS powering YandexAn open source BigTable implementation based on distributed file systems such as HadoopHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.89
Rank#75  Overall
#39  Relational DBMS
Score1.01
Rank#151  Overall
#73  Relational DBMS
Score54.97
Rank#18  Overall
#11  Relational DBMS
Websiteclickhouse.yandexwww.ignitetech.com/­solutions/­information-technology/­infobrightdbwww.sap.com/­products/­hana.html
Technical documentationclickhouse.yandex/­docshelp.sap.com/­hana
DeveloperYandex LLCHypertable Inc.Ignite Technologies Inc.; formerly InfoBright Inc.SAP
Initial release2016200920052010
Current releasev19.13.3.26, August 20190.9.8.11, March 20162.0 SPS04, April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
Appliance or cloud-service
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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 indexesrestricted infoonly exact value or prefix value scansno infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsC++ API
Thrift
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoSQLScript, R
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMaster-slave replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesyes

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More resources
ClickHouseHypertableInfobrightSAP HANA
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