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DBMS > Drizzle vs. Kinetica vs. UniData,UniVerse vs. Weaviate

System Properties Comparison Drizzle vs. Kinetica vs. UniData,UniVerse vs. Weaviate

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonWeaviate  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Fully vectorized database across both GPUs and CPUsMultiValue database and application server with SQL mapping layer and meta database capabilitiesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSVector DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitewww.kinetica.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatagithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.kinetica.comdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidataweaviate.io/­developers/­weaviate
DeveloperDrizzle project, originally started by Brian AkerKineticaRocket SoftwareWeaviate B.V.
Initial release2008201219852019
Current release7.2.4, September 20127.1, August 20211.19, May 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen 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 languageC++C, C++CGo
Server operating systemsFreeBSD
Linux
OS X
LinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesoptionalyes 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 SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyesGraphQL is used as query language
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
.Net
Basic infoU2 Basic
C
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoU2 Basicno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelAccess rights according to SQL-standard and operating system basedAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
DrizzleKineticaUniData,UniVerseWeaviate
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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DrizzleKineticaUniData,UniVerseWeaviate
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