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DBMS > Quasardb vs. Solr vs. SwayDB vs. Weaviate

System Properties Comparison Quasardb vs. Solr vs. SwayDB vs. Weaviate

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonSolr  Xexclude from comparisonSwayDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache LuceneAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSSearch engineKey-value storeVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.00
Rank#382  Overall
#59  Key-value stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitequasar.aisolr.apache.orgswaydb.simer.augithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdoc.quasar.ai/­mastersolr.apache.org/­resources.htmlweaviate.io/­developers/­weaviate
DeveloperquasardbApache Software FoundationSimer PlahaWeaviate B.V.
Initial release2009200620182019
Current release3.14.1, January 20249.5.0, February 20241.19, May 2023
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2Open Source infoGNU Affero GPL V3.0Open 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++JavaScalaGo
Server operating systemsBSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes infointeger and binaryyes infosupports customizable data types and automatic typingnoyes 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.noyesnono
Secondary indexesyes infowith tagsyes infoAll search fields are automatically indexednoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query languageSolr Parallel SQL InterfacenoGraphQL is used as query language
APIs and other access methodsHTTP APIJava API
RESTful HTTP/JSON API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Java
Kotlin
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoJava pluginsnono
Triggersnoyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factoryesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingAtomic execution of operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyesyesyes
User concepts infoAccess controlCryptographically strong user authentication and audit trailyesnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
QuasardbSolrSwayDBWeaviate
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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QuasardbSolrSwayDBWeaviate
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