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DBMS > Netezza vs. RRDtool vs. Stardog vs. StarRocks

System Properties Comparison Netezza vs. RRDtool vs. Stardog vs. StarRocks

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRRDtool  Xexclude from comparisonStardog  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsIndustry 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.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSTime Series DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitewww.ibm.com/­products/­netezzaoss.oetiker.ch/­rrdtoolwww.stardog.comwww.starrocks.io
Technical documentationoss.oetiker.ch/­rrdtool/­docdocs.stardog.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperIBMTobias OetikerStardog-UnionThe Linux Foundation infosince Feb 2023
Initial release2000199920102020
Current release1.8.0, 20227.3.0, May 20202.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL V2 and FLOSScommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC infoImplementations in Java (e.g. RRD4J) and C# availableJavaC++, Java
Server operating systemsLinux infoincluded in applianceHP-UX
Linux
Linux
macOS
Windows
Linux
Data schemeyesyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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.no infoExporting into and restoring from XML files possibleno infoImport/export of XML data possibleno
Secondary indexesyesnoyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsJDBC
ODBC
OLE DB
in-process shared library
Pipes
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
MySQL protocol
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
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
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Java
Server-side scripts infoStored proceduresyesnouser defined functions and aggregates, HTTP Server extensions in Javauser defined functions
Triggersnonoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoby using the rrdcached daemonyesyes
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.yesyesno
User concepts infoAccess controlUsers with fine-grained authorization conceptnoAccess rights for users and rolesRole based access control and fine grained access rights

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

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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

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

Netezza Performance Server
12 August 2020, IBM

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14 February 2023, VentureBeat

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