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DBMS > Netezza vs. Qdrant

System Properties Comparison Netezza vs. Qdrant

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#48  Overall
#30  Relational DBMS
Score1.93
Rank#121  Overall
#9  Vector DBMS
Websitewww.ibm.com/­products/­netezzagithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationqdrant.tech/­documentation
DeveloperIBMQdrant
Initial release20002021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRust
Server operating systemsLinux infoincluded in applianceDocker
Linux
macOS
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Boolean
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
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyesno
APIs and other access methodsJDBC
ODBC
OLE DB
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers with fine-grained authorization conceptKey-based authentication

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More resources
Netezza infoAlso called PureData System for Analytics by IBMQdrant
Recent citations in the news

Netezza and IBM Cloud Pak for Data: A knockout combo for tough data
15 January 2025, ibm.com

How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)
20 December 2024, ibm.com

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime
21 August 2019, AWS Blog

Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, ibm.com

IBM Completes Acquisition of Netezza
26 October 2017, PR Newswire

provided by Google News

Qdrant Launches the First Platform-Independent GPU-Accelerated Vector Indexing for Real-Time AI Applications
23 January 2025, Business Wire

Qdrant promises 10x faster indexing with GPU-powered vector database
23 January 2025, Blocks and Files

Qdrant launches hardware-independent, GPU-accelerated vector indexing capability
23 January 2025, SiliconANGLE News

Qdrant review: A highly flexible option for vector search
29 July 2024, InfoWorld

Vector database company Qdrant wants RAG to be more cost-effective
2 July 2024, VentureBeat

provided by Google News



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