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DBMS > Apache Solr vs. SvectorDB

System Properties Comparison Apache Solr vs. SvectorDB

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Editorial information provided by DB-Engines
NameApache Solr  Xexclude from comparisonSvectorDB  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneServerless cloud-native vector database infoServerless cloud-native vector database
Primary database modelSearch engineVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score32.79
Rank#23  Overall
#3  Search engines
Score0.00
Rank#385  Overall
#21  Vector DBMS
Websitesolr.apache.orgsvectordb.com
Technical documentationsolr.apache.org/­resources.htmlwww.svectordb.com/­docs
DeveloperApache Software FoundationSvectorDB
Initial release20062023
Current release9.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)server-less
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingstring, double, vector
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.yesno
Secondary indexesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSolr Parallel SQL Interface
APIs and other access methodsJava API
RESTful HTTP/JSON API
OpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava plugins
Triggersyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyes

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More resources
Apache SolrSvectorDB
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