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DBMS > Ingres vs. NSDb vs. WakandaDB vs. Weaviate

System Properties Comparison Ingres vs. NSDb vs. WakandaDB vs. Weaviate

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Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonNSDb  Xexclude from comparisonWakandaDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionWell established RDBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSTime Series DBMSObject oriented DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.67
Rank#77  Overall
#42  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitewww.actian.com/­databases/­ingresnsdb.iowakanda.github.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.actian.com/­ingresnsdb.io/­Architecturewakanda.github.io/­docweaviate.io/­developers/­weaviate
DeveloperActian CorporationWakanda SASWeaviate B.V.
Initial release1974 infooriginally developed at University Berkely in early 1970s201720122019
Current release11.2, May 20222.7.0 (April 29, 2019), April 20191.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license availableOpen 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 languageCJava, ScalaC++, JavaScriptGo
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesyes, 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.no infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesyesall fields are automatically indexedyes 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 methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
gRPC
HTTP REST
WebSocket
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava
Scala
JavaScriptJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesnoyesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyes
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
IngresNSDbWakandaDBWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
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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. ​
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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
IngresNSDbWakandaDBWeaviate
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