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DBMS > Netezza vs. OceanBase vs. Prometheus vs. Riak KV

System Properties Comparison Netezza vs. OceanBase vs. Prometheus vs. Riak KV

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOceanBase  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsA distributed, high available RDBMS compatible with Oracle and MySQLOpen-source Time Series DBMS and monitoring systemDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.ibm.com/­products/­netezzaen.oceanbase.comprometheus.io
Technical documentationen.oceanbase.com/­docs/­oceanbase-databaseprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperIBMOceanBase infopreviously Alibaba and Ant GroupOpenSource, formerly Basho Technologies
Initial release2000201020152009
Current release4.3.0, April 20243.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoCommercial license availableOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoErlang
Server operating systemsLinux infoincluded in applianceLinuxLinux
Windows
Linux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyno
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 infoImport of XML data possibleno
Secondary indexesyesyesnorestricted
SQL infoSupport of SQLyesyesnono
APIs and other access methodsJDBC
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
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
Server-side scripts infoStored proceduresyesPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modenoErlang
Triggersnoyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)ShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxosyes infoby Federationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.no
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standardnoyes, using Riak Security

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More resources
Netezza infoAlso called PureData System for Analytics by IBMOceanBasePrometheusRiak KV
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