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DBMS > Apache Solr vs. Apache Spark (SQL) vs. Qdrant

System Properties Comparison Apache Solr vs. Apache Spark (SQL) vs. Qdrant

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Editorial information provided by DB-Engines
NameApache Solr  Xexclude from comparisonApache Spark (SQL)  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneApache Spark SQL is a component on top of 'Spark Core' for structured data processingA high-performance vector database with neural network or semantic-based matching
Primary database modelSearch engineRelational 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
Score21.62
Rank#29  Overall
#18  Relational DBMS
Score2.28
Rank#106  Overall
#8  Vector DBMS
Websitesolr.apache.orgspark.apache.org/­sqlgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationsolr.apache.org/­resources.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlqdrant.tech/­documentation
DeveloperApache Software FoundationApache Software FoundationQdrant
Initial release200620142021
Current release9.6.1, May 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaRust
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Docker
Linux
macOS
Windows
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyesNumbers, Strings, Geo, Boolean
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 indexednoyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSolr Parallel SQL InterfaceSQL-like DML and DDL statementsno
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Java
Python
R
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresJava pluginsno
Triggersyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneCollection-level replication
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 Consistency, tunable 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.yesnoyes
User concepts infoAccess controlyesnoKey-based authentication

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More resources
Apache SolrApache Spark (SQL)Qdrant
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