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DBMS > RocksDB vs. Tkrzw vs. VictoriaMetrics vs. Weaviate

System Properties Comparison RocksDB vs. Tkrzw vs. VictoriaMetrics vs. Weaviate

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Editorial information provided by DB-Engines
NameRocksDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA 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 modelKey-value storeKey-value storeTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Score1.23
Rank#165  Overall
#15  Time Series DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websiterocksdb.orgdbmx.net/­tkrzwvictoriametrics.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgithub.com/­facebook/­rocksdb/­wikidocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
weaviate.io/­developers/­weaviate
DeveloperFacebook, Inc.Mikio HirabayashiVictoriaMetricsWeaviate B.V.
Initial release2013202020182019
Current release9.4.0, June 20240.9.3, August 2020v1.91, May 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoBSDOpen 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 languageC++C++GoGo
Server operating systemsLinuxLinux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenonoyes 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.nononono
Secondary indexesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnononoGraphQL is used as query language
APIs and other access methodsC++ API
Java API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C++
Go
Java
Perl
Python
Ruby
C++
Java
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnononono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSynchronous replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
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.yesyes infousing specific database classesnoyes
User concepts infoAccess controlnonoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
RocksDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetVictoriaMetricsWeaviate
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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More resources
RocksDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetVictoriaMetricsWeaviate
DB-Engines blog posts

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

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