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DBMS > Netezza vs. NSDb vs. Sqrrl vs. Weaviate

System Properties Comparison Netezza vs. NSDb vs. Sqrrl vs. Weaviate

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNSDb  Xexclude from comparisonSqrrl  Xexclude from comparisonWeaviate  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionData warehouse and analytics appliance part of IBM PureSystemsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAdaptable, secure NoSQL built on Apache AccumuloAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitewww.ibm.com/­products/­netezzansdb.iosqrrl.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationnsdb.io/­Architectureweaviate.io/­developers/­weaviate
DeveloperIBMAmazon infooriginally Sqrrl Data, Inc.Weaviate B.V.
Initial release2000201720122019
Current release1.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infocommercial license available with Weaviate Enterprise
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 languageJava, ScalaJavaGo
Server operating systemsLinux infoincluded in applianceLinux
macOS
Linux
Data schemeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.nono
Secondary indexesyesall fields are automatically indexedyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesSQL-like query languagenoGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Java
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infomaking use of Hadoopyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
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 conceptCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)API Keys
OpenID Connect Discovery
More information provided by the system vendor
Netezza infoAlso called PureData System for Analytics by IBMNSDbSqrrlWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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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

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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

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18 September 2023, Mint

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23 January 2018, CNBC

AWS beefs up threat detection with Sqrrl acquisition
24 January 2018, TechCrunch

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18 December 2017, PYMNTS.com

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