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DBMS > Netezza vs. Oracle NoSQL vs. Riak KV vs. Sadas Engine

System Properties Comparison Netezza vs. Oracle NoSQL vs. Riak KV vs. Sadas Engine

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonRiak KV  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesDistributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.ibm.com/­products/­netezzawww.oracle.com/­database/­nosql/­technologies/­nosqlwww.sadasengine.com
Technical documentationdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperIBMOracleOpenSource, formerly Basho TechnologiesSADAS s.r.l.
Initial release2000201120092006
Current release23.3, December 20233.2.0, December 20228.0
License infoCommercial or Open SourcecommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoApache version 2, commercial enterprise editioncommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++
Server operating systemsLinux infoincluded in applianceLinux
Solaris SPARC/x86
Linux
OS X
AIX
Linux
Windows
Data schemeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.schema-freeyes
Typing infopredefined data types such as float or dateyesoptionalnoyes
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.nonono
Secondary indexesyesyesrestrictedyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
OLE DB
RESTful HTTP APIHTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
Go
Java
JavaScript (Node.js)
Python
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesnoErlangno
Triggersnonoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infono "single point of failure"horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infodepending on configuration
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infooff heap cacheyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users and rolesyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standard

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More resources
Netezza infoAlso called PureData System for Analytics by IBMOracle NoSQLRiak KVSadas Engine
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