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DBMS > BoltDB vs. Heroic vs. Kinetica vs. Weaviate vs. Yanza

System Properties Comparison BoltDB vs. Heroic vs. Kinetica vs. Weaviate vs. Yanza

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHeroic  Xexclude from comparisonKinetica  Xexclude from comparisonWeaviate  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embedded key-value store for Go.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully vectorized database across both GPUs and CPUsAn AI-native realtime vector database engine that integrates scalable machine learning models.Time Series DBMS for IoT Applications
Primary database modelKey-value storeTime Series DBMSRelational DBMSVector DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitegithub.com/­boltdb/­boltgithub.com/­spotify/­heroicwww.kinetica.comgithub.com/­weaviate/­weaviate
weaviate.io
yanza.com
Technical documentationspotify.github.io/­heroicdocs.kinetica.comweaviate.io/­developers/­weaviate
DeveloperSpotifyKineticaWeaviate B.V.Yanza
Initial release20132014201220192015
Current release7.1, August 20211.19, May 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0commercialOpen Source infocommercial license available with Weaviate Enterprisecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC, C++Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxWindows
Data schemeschema-freeschema-freeyesyes, maps to GraphQL interfaceschema-free
Typing infopredefined data types such as float or datenoyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy referencesno
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.nonononono
Secondary indexesnoyes infovia Elasticsearchyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexedno
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsGraphQL is used as query languageno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
HTTP API
Supported programming languagesGoC++
Java
JavaScript (Node.js)
Python
JavaScript / TypeScript
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonouser defined functionsnono
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelAPI Keys
OpenID Connect Discovery
no
More information provided by the system vendor
BoltDBHeroicKineticaWeaviateYanza
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
BoltDBHeroicKineticaWeaviateYanza
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