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DBMS > Netezza vs. Newts vs. Oracle NoSQL vs. PouchDB

System Properties Comparison Netezza vs. Newts vs. Oracle NoSQL vs. PouchDB

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNewts  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS based on CassandraA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSTime Series DBMSDocument store
Key-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score2.96
Rank#103  Overall
#18  Document stores
#17  Key-value stores
#52  Relational DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Websitewww.ibm.com/­products/­netezzaopennms.github.io/­newtswww.oracle.com/­database/­nosql/­technologies/­nosqlpouchdb.com
Technical documentationgithub.com/­OpenNMS/­newts/­wikidocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlpouchdb.com/­guides
DeveloperIBMOpenNMS GroupOracleApache Software Foundation
Initial release2000201420112012
Current release23.3, December 20237.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScript
Server operating systemsLinux infoincluded in applianceLinux
OS X
Windows
Linux
Solaris SPARC/x86
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.schema-free
Typing infopredefined data types such as float or dateyesyesoptionalno
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 indexesyesnoyesyes infovia views
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
OLE DB
HTTP REST
Java API
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
JavaC
C#
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresyesnonoView functions in JavaScript
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on CassandraElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency infodepending on configuration
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infooff heap cacheyes
User concepts infoAccess controlUsers with fine-grained authorization conceptnoAccess rights for users and rolesno

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More resources
Netezza infoAlso called PureData System for Analytics by IBMNewtsOracle NoSQLPouchDB
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
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Recent citations in the news

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