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DBMS > NSDb vs. Quasardb vs. ReductStore vs. Weaviate

System Properties Comparison NSDb vs. Quasardb vs. ReductStore vs. Weaviate

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonQuasardb  Xexclude from comparisonReductStore  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDistributed, high-performance timeseries databaseDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitensdb.ioquasar.aigithub.com/­reductstore
www.reduct.store
github.com/­weaviate/­weaviate
weaviate.io
Technical documentationnsdb.io/­Architecturedoc.quasar.ai/­masterwww.reduct.store/­docsweaviate.io/­developers/­weaviate
DeveloperquasardbReductStore LLCWeaviate B.V.
Initial release2017200920232019
Current release3.14.1, January 20241.9, March 20241.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoBusiness Source License 1.1Open 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 languageJava, ScalaC++C++, RustGo
Server operating systemsLinux
macOS
BSD
Linux
OS X
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyes infointeger and binaryyes 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 indexesall fields are automatically indexedyes infowith tagsyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query languageSQL-like query languageGraphQL is used as query language
APIs and other access methodsgRPC
HTTP REST
WebSocket
HTTP APIHTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
JavaScript (Node.js)
Python
Rust
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentUsing Apache Luceneyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyes
User concepts infoAccess controlCryptographically strong user authentication and audit trailAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
NSDbQuasardbReductStoreWeaviate
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
NSDbQuasardbReductStoreWeaviate
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