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DBMS > Apache Solr vs. ReductStore vs. SvectorDB

System Properties Comparison Apache Solr vs. ReductStore vs. SvectorDB

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Editorial information provided by DB-Engines
NameApache Solr  Xexclude from comparisonReductStore  Xexclude from comparisonSvectorDB  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Serverless cloud-native vector database infoServerless cloud-native vector database
Primary database modelSearch engineTime Series DBMSVector 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
Score0.06
Rank#355  Overall
#37  Time Series DBMS
Score0.00
Rank#385  Overall
#21  Vector DBMS
Websitesolr.apache.orggithub.com/­reductstore
www.reduct.store
svectordb.com
Technical documentationsolr.apache.org/­resources.htmlwww.reduct.store/­docswww.svectordb.com/­docs
DeveloperApache Software FoundationReductStore LLCSvectorDB
Initial release200620232023
Current release9.6.1, May 20241.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBusiness Source License 1.1commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Rust
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Docker
Linux
macOS
Windows
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
HTTP APIOpenAPI 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
C++
JavaScript (Node.js)
Python
Rust
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 SolrReductStoreSvectorDB
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