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DBMS > Manticore Search vs. OrigoDB vs. Solr vs. Sphinx vs. Warp 10

System Properties Comparison Manticore Search vs. OrigoDB vs. Solr vs. Sphinx vs. Warp 10

Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonOrigoDB  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.A fully ACID in-memory object graph databaseA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSearch engineDocument store
Object oriented DBMS
Search engineSearch engineTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibrarySpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#312  Overall
#21  Search engines
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitemanticoresearch.comorigodb.comsolr.apache.orgsphinxsearch.comwww.warp10.io
Technical documentationmanual.manticoresearch.comorigodb.com/­docssolr.apache.org/­resources.htmlsphinxsearch.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperManticore SoftwareRobert Friberg et alApache Software FoundationSphinx Technologies Inc.SenX
Initial release20172009 infounder the name LiveDB200620012015
Current release6.0, February 20239.6.0, April 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGPL version 2Open SourceOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#JavaC++Java
Server operating systemsFreeBSD
Linux
macOS
Windows
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeFixed schemayesyes 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, BooleanUser defined using .NET types and collectionsyes infosupports customizable data types and automatic typingnoyes
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 XMLno infocan be achieved using .NETyesno
Secondary indexesyes infofull-text index on all search fieldsyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query languagenoSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)no
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
.NET Client API
HTTP API
LINQ
Java API
RESTful HTTP/JSON API
Proprietary protocolHTTP API
Jupyter
WebSocket
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsyesJava pluginsnoyes infoWarpScript
Triggersnoyes infoDomain Eventsyes 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 supportedhorizontal partitioning infoclient side managed; servers are not synchronizedShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera librarySource-replica replicationyesnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynodepending on modelnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesACIDoptimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Manticore index.yes infoWrite ahead logyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoRole based authorizationyesnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Manticore SearchOrigoDBSolrSphinxWarp 10
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