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DBMS > Apache Solr vs. Percona Server for MongoDB vs. SvectorDB

System Properties Comparison Apache Solr vs. Percona Server for MongoDB vs. SvectorDB

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Editorial information provided by DB-Engines
NameApache Solr  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSvectorDB  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Serverless cloud-native vector database infoServerless cloud-native vector database
Primary database modelSearch engineDocument storeVector 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
Score0.48
Rank#251  Overall
#40  Document stores
Score0.00
Rank#385  Overall
#21  Vector DBMS
Websitesolr.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbsvectordb.com
Technical documentationsolr.apache.org/­resources.htmldocs.percona.com/­percona-distribution-for-mongodbwww.svectordb.com/­docs
DeveloperApache Software FoundationPerconaSvectorDB
Initial release200620152023
Current release9.6.1, May 20243.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linuxserver-less
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyesstring, 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.yesnono
Secondary indexesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSolr Parallel SQL Interfaceno
APIs and other access methodsJava API
RESTful HTTP/JSON API
proprietary protocol using JSONOpenAPI 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
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresJava pluginsJavaScript
Triggersyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engine
User concepts infoAccess controlyesAccess rights for users and roles

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More resources
Apache SolrPercona Server for MongoDBSvectorDB
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