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DBMS > Kingbase vs. Netezza vs. Riak TS vs. Sqrrl

System Properties Comparison Kingbase vs. Netezza vs. Riak TS vs. Sqrrl

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Editorial information provided by DB-Engines
NameKingbase  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRiak TS  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Data warehouse and analytics appliance part of IBM PureSystemsRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitewww.kingbase.com.cnwww.ibm.com/­products/­netezzasqrrl.com
Technical documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperBeiJing KINGBASE Information technologies inc.IBMOpen Source, formerly Basho TechnologiesAmazon infooriginally Sqrrl Data, Inc.
Initial release1999200020152012
Current releaseV8.0, August 20213.0.0, September 2022
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and JavaErlangJava
Server operating systemsLinux
Windows
Linux infoincluded in applianceLinux
OS X
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesno
Secondary indexesyesyesrestrictedyes
SQL infoSupport of SQLStandard with numerous extensionsyesyes, limitedno
APIs and other access methodsADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
ODBC
OLE DB
HTTP API
Native Erlang Interface
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functionsyesErlangno
Triggersyesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factorselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
KingbaseNetezza infoAlso called PureData System for Analytics by IBMRiak TSSqrrl
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