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DBMS > Netezza vs. Qdrant vs. RethinkDB vs. Stardog

System Properties Comparison Netezza vs. Qdrant vs. RethinkDB vs. Stardog

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQdrant  Xexclude from comparisonRethinkDB  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsA high-performance vector database with neural network or semantic-based matchingDBMS for the Web with a mechanism to push updated query results to applications in realtime.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSVector DBMSDocument storeGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.ibm.com/­products/­netezzagithub.com/­qdrant/­qdrant
qdrant.tech
rethinkdb.comwww.stardog.com
Technical documentationqdrant.tech/­documentationrethinkdb.com/­docsdocs.stardog.com
DeveloperIBMQdrantThe Linux Foundation infosince July 2017Stardog-Union
Initial release2000202120092010
Current release2.4.1, August 20207.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial 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

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Implementation languageRustC++Java
Server operating systemsLinux infoincluded in applianceDocker
Linux
macOS
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesschema-freeschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyes infostring, binary, float, bool, date, geometryyes
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 infoImport/export of XML data possible
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesnonoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
ODBC
OLE DB
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
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 languagesC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functions and aggregates, HTTP Server extensions in Java
TriggersnoClient-side triggers through changefeedsyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCollection-level replicationSource-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
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.yesnoyes
User concepts infoAccess controlUsers with fine-grained authorization conceptKey-based authenticationyes infousers and table-level permissionsAccess rights for users and roles

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More resources
Netezza infoAlso called PureData System for Analytics by IBMQdrantRethinkDBStardog
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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

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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.com

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