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DBMS > Netezza vs. OpenTSDB vs. Realm vs. TinkerGraph vs. VoltDB

System Properties Comparison Netezza vs. OpenTSDB vs. Realm vs. TinkerGraph vs. VoltDB

Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOpenTSDB  Xexclude from comparisonRealm  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsScalable Time Series DBMS based on HBaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSTime Series DBMSDocument storeGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.ibm.com/­products/­netezzaopentsdb.netrealm.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.voltdb.com
Technical documentationopentsdb.net/­docs/­build/­html/­index.htmlrealm.io/­docsdocs.voltdb.com
DeveloperIBMcurrently maintained by Yahoo and other contributorsRealm, acquired by MongoDB in May 2019VoltDB Inc.
Initial release20002011201420092010
Current release11.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoLGPLOpen SourceOpen Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, C++
Server operating systemsLinux infoincluded in applianceLinux
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X infofor development
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tagsyesyesyes
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 indexesyesnoyesnoyes
SQL infoSupport of SQLyesnononoyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
OLE DB
HTTP API
Telnet API
TinkerPop 3Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Erlang
Go
Java
Python
R
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Groovy
Java
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesnono inforuns within the applications so server-side scripts are unnecessarynoJava
Triggersnonoyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBasenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on HBasenonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBaseImmediate Consistencynone
Foreign keys infoReferential integritynononoyes infoRelationships in graphsno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesoptionalyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realmyes
User concepts infoAccess controlUsers with fine-grained authorization conceptnoyesnoUsers and roles with access to stored procedures

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More resources
Netezza infoAlso called PureData System for Analytics by IBMOpenTSDBRealmTinkerGraphVoltDB
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Recent citations in the news

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, ibm.com

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

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5 August 2016, KDnuggets

MapR to help admins peer into dense Hadoop clusters
28 June 2016, SiliconANGLE News

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1 June 2016, The New Stack

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12 September 2017, Solutions Review

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12 October 2020, Towards Data Science

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28 January 2016, The New Stack

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