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DBMS > Riak KV vs. Valentina Server vs. Weaviate vs. YDB

System Properties Comparison Riak KV vs. Valentina Server vs. Weaviate vs. YDB

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Editorial information provided by DB-Engines
NameRiak KV  Xexclude from comparisonValentina Server  Xexclude from comparisonWeaviate  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionDistributed, fault tolerant key-value storeObject-relational database and reports serverAn AI-native realtime vector database engine that integrates scalable machine learning models.A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSVector DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitewww.valentina-db.netgithub.com/­weaviate/­weaviate
weaviate.io
github.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latestvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpweaviate.io/­developers/­weaviateydb.tech/­en/­docs
DeveloperOpenSource, formerly Basho TechnologiesParadigma SoftwareWeaviate B.V.Yandex
Initial release2009199920192019
Current release3.2.0, December 20225.7.51.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache version 2, commercial enterprise editioncommercialOpen Source infocommercial license available with Weaviate EnterpriseOpen Source infoApache 2.0; commercial license available
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 languageErlangGo
Server operating systemsLinux
OS X
Linux
OS X
Windows
Linux
Data schemeschema-freeyesyes, maps to GraphQL interfaceFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyesyes infostring, int, float, geo point, date, cross reference, fuzzy referencesyes
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 indexesrestrictedyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexedyes
SQL infoSupport of SQLnoyesGraphQL is used as query languageSQL-like query language (YQL)
APIs and other access methodsHTTP API
Native Erlang Interface
ODBCGraphQL query language
RESTful HTTP/JSON API
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
JavaScript / TypeScript
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresErlangyesnono
Triggersyes infopre-commit hooks and post-commit hooksyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infolinks between data sets can be storedyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesno
User concepts infoAccess controlyes, using Riak Securityfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
Access rights defined for Yandex Cloud users
More information provided by the system vendor
Riak KVValentina ServerWeaviateYDB
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
Riak KVValentina ServerWeaviateYDB
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