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DBMS > Hypertable vs. Netezza vs. Sequoiadb

System Properties Comparison Hypertable vs. Netezza vs. Sequoiadb

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSequoiadb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopData warehouse and analytics appliance part of IBM PureSystemsNewSQL database with distributed OLTP and SQL
Primary database modelWide column storeRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.48
Rank#260  Overall
#41  Document stores
#121  Relational DBMS
Websitewww.ibm.com/­products/­netezzawww.sequoiadb.com
Technical documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperHypertable Inc.IBMSequoiadb Ltd.
Initial release200920002013
Current release0.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoincluded in applianceLinux
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyes infooid, date, timestamp, binary, regex
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.no
Secondary indexesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnoyesSQL-like query language
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
OLE DB
proprietary protocol using JSON
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesJavaScript
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDDocument is locked during a 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.no
User concepts infoAccess controlnoUsers with fine-grained authorization conceptsimple password-based access control

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More resources
HypertableNetezza infoAlso called PureData System for Analytics by IBMSequoiadb
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