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DBMS > Netezza vs. Oracle vs. Qdrant vs. SpaceTime

System Properties Comparison Netezza vs. Oracle vs. Qdrant vs. SpaceTime

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle  Xexclude from comparisonQdrant  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsWidely used RDBMSA high-performance vector database with neural network or semantic-based matchingSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSRelational DBMSVector DBMSSpatial DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitewww.ibm.com/­products/­netezzawww.oracle.com/­databasegithub.com/­qdrant/­qdrant
qdrant.tech
www.mireo.com/­spacetime
Technical documentationdocs.oracle.com/­en/­databaseqdrant.tech/­documentation
DeveloperIBMOracleQdrantMireo
Initial release2000198020212020
Current release23c, September 2023
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache Version 2.0commercial
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 and C++RustC++
Server operating systemsLinux infoincluded in applianceAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Docker
Linux
macOS
Windows
Linux
Data schemeyesyes infoSchemaless in JSON and XML columnsschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleanyes
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.yesnono
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-textno
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
RESTful HTTP API
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Python
Server-side scripts infoStored proceduresyesPL/SQL infoalso stored procedures in Java possibleno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Collection-level replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocan be realized in PL/SQLnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoisolation level can be parameterizedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yesno
User concepts infoAccess controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardKey-based authenticationyes

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

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3 January 2020, Matthias Gelbmann, Paul Andlinger

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Conferences, events and webinars

Oracle Cloud World
Las Vegas, 9-12 September 2024

Recent citations in the news

Roundup: Telehouse, Cloudera, Netezza, EMC
31 May 2024, Data Center Knowledge

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

Netezza Performance Server
12 August 2020, IBM

provided by Google News

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12 June 2024, Telecompaper EN

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Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

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23 January 2024, Business Wire

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16 April 2024, Oracle

Qdrant offers managed vector database for hybrid clouds
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provided by Google News



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