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DBMS > Quasardb vs. Solr vs. Weaviate

System Properties Comparison Quasardb vs. Solr vs. Weaviate

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonSolr  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache LuceneA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelTime Series DBMSSearch engineSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#25  Time Series DBMS
Score48.26
Rank#24  Overall
#3  Search engines
Score0.40
Rank#281  Overall
#19  Search engines
Websitequasardb.netlucene.apache.org/­solrgithub.com/­semi-technologies/­weaviate
weaviate.io
Technical documentationdoc.quasar.ai/­masterlucene.apache.org/­solr/­resources.htmlweaviate.io/­developers/­weaviate/­current
DeveloperquasardbApache Software FoundationSeMI Technologies B.V.
Initial release200920062017
Current release3.13.3, April 20229.0.0, May 20221.0.3, January 2021
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 infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGo
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 fieldsyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes infointeger and binaryyes infosupports customizable data types and automatic typingyes 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.noyesno
Secondary indexesyes infowith tagsyes infoAll search fields are automatically indexedyes 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 InterfaceGraphQL 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
Server-side scripts infoStored proceduresnoJava pluginsno
Triggersnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factoryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyesno
User concepts infoAccess controlCryptographically strong user authentication and audit trailyesOpenID Connect Discovery
More information provided by the system vendor
QuasardbSolrWeaviate
Typical application scenariosAs a stand-alone vector search engine, or use one of the many modules (transformers,...
» more
Key customersA ll companies that have data. ​
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. We also offer Fully managed Weaviate on...
» more

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More resources
QuasardbSolrWeaviate
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