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DBMS > Manticore Search vs. Solr vs. SQL.JS vs. Sqrrl

System Properties Comparison Manticore Search vs. Solr vs. SQL.JS vs. Sqrrl

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonSolr  Xexclude from comparisonSQL.JS  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMulti-storage database for search, including full-text search.A widely used distributed, scalable search engine based on Apache LucenePort of SQLite to JavaScriptAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelSearch engineSearch engineRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibrarySpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#312  Overall
#21  Search engines
Score43.91
Rank#24  Overall
#3  Search engines
Score0.63
Rank#243  Overall
#111  Relational DBMS
Websitemanticoresearch.comsolr.apache.orgsql.js.orgsqrrl.com
Technical documentationmanual.manticoresearch.comsolr.apache.org/­resources.htmlsql.js.org/­documentation/­index.html
DeveloperManticore SoftwareApache Software FoundationAlon Zakai infoenhancements implemented by othersAmazon infooriginally Sqrrl Data, Inc.
Initial release2017200620122012
Current release6.0, February 20239.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoGPL version 2Open Source infoApache Version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaScriptJava
Server operating systemsFreeBSD
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeFixed schemayes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infosupports customizable data types and automatic typingyesyes
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.Can index from XMLyesno
Secondary indexesyes infofull-text index on all search fieldsyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageSolr Parallel SQL Interfaceyes infoSQL-92 is not fully supportedno
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Java API
RESTful HTTP/JSON API
JavaScript APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
JavaScriptActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functionsJava pluginsnono
Triggersnoyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyesnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic lockingACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Manticore index.yesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoyesnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Manticore SearchSolrSQL.JSSqrrl
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