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DBMS > Apache Solr vs. Rockset vs. SvectorDB

System Properties Comparison Apache Solr vs. Rockset vs. SvectorDB

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Editorial information provided by DB-Engines
NameApache Solr  Xexclude from comparisonRockset  Xexclude from comparisonSvectorDB  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneA scalable, reliable search and analytics service in the cloud, built on RocksDBServerless cloud-native vector database infoServerless cloud-native vector database
Primary database modelSearch engineDocument storeVector DBMS
Secondary database modelsSpatial DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score32.79
Rank#23  Overall
#3  Search engines
Score0.88
Rank#200  Overall
#34  Document stores
Score0.00
Rank#385  Overall
#21  Vector DBMS
Websitesolr.apache.orgrockset.comsvectordb.com
Technical documentationsolr.apache.org/­resources.htmldocs.rockset.comwww.svectordb.com/­docs
DeveloperApache Software FoundationRocksetSvectorDB
Initial release200620192023
Current release9.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
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)hostedserver-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 typingdynamic 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 infoingestion from XML files supportedno
Secondary indexesyes infoAll search fields are automatically indexedall fields are automatically indexed
SQL infoSupport of SQLSolr Parallel SQL InterfaceRead-only SQL queries, including JOINs
APIs and other access methodsJava API
RESTful HTTP/JSON API
HTTP RESTOpenAPI 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
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava pluginsno
Triggersyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate 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.yes
User concepts infoAccess controlyesAccess rights for users and organizations can be defined via Rockset console

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More resources
Apache SolrRocksetSvectorDB
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