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DBMS > MonetDB vs. NSDb vs. VictoriaMetrics vs. Weaviate

System Properties Comparison MonetDB vs. NSDb vs. VictoriaMetrics vs. Weaviate

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonNSDb  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fast, cost-effective and scalable Time Series DBMS and monitoring solutionAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.monetdb.orgnsdb.iovictoriametrics.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.monetdb.org/­Documentationnsdb.io/­Architecturedocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
weaviate.io/­developers/­weaviate
DeveloperMonetDB BVVictoriaMetricsWeaviate B.V.
Initial release2004201720182019
Current releaseDec2023 (11.49), December 2023v1.91, May 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open 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, ScalaGoGo
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyes 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.nonono
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 SQLyes infoSQL 2003 with some extensionsSQL-like query languagenoGraphQL is used as query language
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
HTTP REST
WebSocket
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyes, in SQL, C, Rnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSynchronous replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
MonetDBNSDbVictoriaMetricsWeaviate
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
MonetDBNSDbVictoriaMetricsWeaviate
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