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DBMS > Solr vs. SurrealDB vs. Yanza

System Properties Comparison Solr vs. SurrealDB vs. Yanza

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Editorial information provided by DB-Engines
NameSolr  Xexclude from comparisonSurrealDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA widely used distributed, scalable search engine based on Apache LuceneA fully ACID transactional, developer-friendly, multi-model DBMSTime Series DBMS for IoT Applications
Primary database modelSearch engineDocument store
Graph DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score41.02
Rank#24  Overall
#3  Search engines
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitesolr.apache.orgsurrealdb.comyanza.com
Technical documentationsolr.apache.org/­resources.htmlsurrealdb.com/­docs
DeveloperApache Software FoundationSurrealDB LtdYanza
Initial release200620222015
Current release9.6.1, May 2024v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Sourcecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRust
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Windows
Windows
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeschema-free
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyesno
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 indexedno
SQL infoSupport of SQLSolr Parallel SQL InterfaceSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP/JSON API
GraphQL
RESTful HTTP API
WebSocket
HTTP API
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Deno
Go
JavaScript (Node.js)
Rust
any language that supports HTTP calls
Server-side scripts infoStored proceduresJava pluginsno
Triggersyes infoUser configurable commands triggered on index changesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDno
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 controlyesyes, based on authentication and database rulesno

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More resources
SolrSurrealDBYanza
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