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DBMS > Cachelot.io vs. Netezza vs. Postgres-XL vs. Stardog

System Properties Comparison Cachelot.io vs. Netezza vs. Postgres-XL vs. Stardog

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgres-XL  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionIn-memory caching systemData warehouse and analytics appliance part of IBM PureSystemsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value storeRelational DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitecachelot.iowww.ibm.com/­products/­netezzawww.postgres-xl.orgwww.stardog.com
Technical documentationwww.postgres-xl.org/­documentationdocs.stardog.com
DeveloperIBMStardog-Union
Initial release201520002014 infosince 2012, originally named StormDB2010
Current release10 R1, October 20187.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicensecommercialOpen Source infoMozilla public licensecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CJava
Server operating systemsFreeBSD
Linux
OS X
Linux infoincluded in applianceLinux
macOS
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyesyesyes
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.noyes infoXML type, but no XML query functionalityno infoImport/export of XML data possible
Secondary indexesnoyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesyes infodistributed, parallel query executionYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsMemcached protocolJDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyesuser defined functionsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Cachelot.ioNetezza infoAlso called PureData System for Analytics by IBMPostgres-XLStardog
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

U.S. Navy Chooses Yellowbrick, Sunsets IBM Netezza
22 March 2023, Business Wire

provided by Google News



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