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DBMS > Manticore Search vs. Microsoft Azure Cosmos DB vs. Solr

System Properties Comparison Manticore Search vs. Microsoft Azure Cosmos DB vs. Solr

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionOpen source search engine for searching in data from different sources. Forked of and compatible with Sphinx.Globally distributed, horizontally scalable, multi-model database serviceA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#318  Overall
#15  Search engines
Score32.97
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score52.48
Rank#20  Overall
#3  Search engines
Websitemanticoresearch.comazure.microsoft.com/­services/­cosmos-dblucene.apache.org/­solr
Technical documentationdocs.manticoresearch.com/­latest/­html
github.com/­manticoresoftware/­manticoresearch
docs.microsoft.com/­azure/­cosmos-dblucene.apache.org/­solr/­resources.html
DeveloperManticore SoftwareMicrosoftApache Software Foundation
Initial release201720142006
Current release8.7.0, November 2020
License infoCommercial or Open SourceOpen Source infoGPL version 2commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyes infoJSON typesyes infosupports customizable data types and automatic typing
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.yes
Secondary indexesyes infofull-text index on all search fieldsyes infoAll properties auto-indexed by defaultyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsProprietary protocolDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Java API
RESTful HTTP/JSON API
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJavaScriptJava plugins
TriggersnoJavaScriptyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*spark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionoptimistic locking
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.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelyes

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More resources
Manticore SearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSolr
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Recent citations in the news

How To Develop Your Custom Autocorrect Implementation with Manticore [A Step by Step Guide]
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