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DBMS > Netezza vs. ObjectBox vs. RRDtool vs. Sphinx vs. Splice Machine

System Properties Comparison Netezza vs. ObjectBox vs. RRDtool vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonObjectBox  Xexclude from comparisonRRDtool  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsExtremely fast embedded database for small devices, IoT and MobileIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Open source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSObject oriented DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.ibm.com/­products/­netezzaobjectbox.iooss.oetiker.ch/­rrdtoolsphinxsearch.comsplicemachine.com
Technical documentationdocs.objectbox.iooss.oetiker.ch/­rrdtool/­docsphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperIBMObjectBox LimitedTobias OetikerSphinx Technologies Inc.Splice Machine
Initial release20002017199920012014
Current release1.8.0, 20223.5.1, February 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoGPL V2 and FLOSSOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C infoImplementations in Java (e.g. RRD4J) and C# availableC++Java
Server operating systemsLinux infoincluded in applianceAndroid
iOS
Linux
macOS
Windows
HP-UX
Linux
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlynoyes
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.nono infoExporting into and restoring from XML files possible
Secondary indexesyesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesnonoSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
OLE DB
Proprietary native APIin-process shared library
Pipes
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnononoyes infoJava
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationonline/offline synchronization between client and servernonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptyesnonoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Netezza infoAlso called PureData System for Analytics by IBMObjectBoxRRDtoolSphinxSplice Machine
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