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DBMS > Altibase vs. Netezza vs. RDF4J vs. Weaviate

System Properties Comparison Altibase vs. Netezza vs. RDF4J vs. Weaviate

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSData warehouse and analytics appliance part of IBM PureSystemsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMSRDF storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitealtibase.comwww.ibm.com/­products/­netezzardf4j.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsrdf4j.org/­documentationweaviate.io/­developers/­weaviate
DeveloperAltibaseIBMSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Weaviate B.V.
Initial release1999200020042019
Current releasev7.3, 2023, August 20231.19, May 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGo
Server operating systemsAIX
HP-UX
Linux
Linux infoincluded in applianceLinux
OS X
Unix
Windows
Data schemeyesyesyes infoRDF Schemasyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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 indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLANSI SQL-92yesnoGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
OLE DB
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
PHP
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsyesyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
AltibaseNetezza infoAlso called PureData System for Analytics by IBMRDF4J infoformerly known as SesameWeaviate
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...
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Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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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
AltibaseNetezza infoAlso called PureData System for Analytics by IBMRDF4J infoformerly known as SesameWeaviate
DB-Engines blog posts

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

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