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DBMS > Netezza vs. NSDb vs. Qdrant vs. SwayDB vs. Transbase

System Properties Comparison Netezza vs. NSDb vs. Qdrant vs. SwayDB vs. Transbase

Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNSDb  Xexclude from comparisonQdrant  Xexclude from comparisonSwayDB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA high-performance vector database with neural network or semantic-based matchingAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSTime Series DBMSVector DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.28
Rank#167  Overall
#8  Vector DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitewww.ibm.com/­products/­netezzansdb.iogithub.com/­qdrant/­qdrant
qdrant.tech
swaydb.simer.auwww.transaction.de/­en/­products/­transbase.html
Technical documentationnsdb.io/­Architectureqdrant.tech/­documentationwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperIBMQdrantSimer PlahaTransaction Software GmbH
Initial release20002017202120181987
Current releaseTransbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGNU Affero GPL V3.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaRustScalaC and C++
Server operating systemsLinux infoincluded in applianceLinux
macOS
Docker
Linux
macOS
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringNumbers, Strings, Geo, Booleannoyes
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.nononono
Secondary indexesyesall fields are automatically indexedyes infoKeywords, numberic ranges, geo, full-textnoyes
SQL infoSupport of SQLyesSQL-like query languagenonoyes
APIs and other access methodsJDBC
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Java
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Java
Kotlin
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCollection-level replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency, tunable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of operationsyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyesyes
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 conceptKey-based authenticationnofine grained access rights according to SQL-standard

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More resources
Netezza infoAlso called PureData System for Analytics by IBMNSDbQdrantSwayDBTransbase
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

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.com

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

provided by Google News

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

Qdrant Raises $28M to Advance Massive-Scale AI Applications
23 January 2024, businesswire.com

Qdrant Hybrid Cloud is Now Available for OCI Customers: Managed Vector Search Engine for Data-Sensitive AI ...
16 April 2024, blogs.oracle.com

Qdrant offers managed vector database for hybrid clouds
16 April 2024, InfoWorld

Why Vector Data Services For AI Are A Moveable Feast
17 April 2024, Forbes

provided by Google News



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