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DBMS > MarkLogic vs. MongoDB vs. Solr

System Properties Comparison MarkLogic vs. MongoDB vs. Solr

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonMongoDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document storeSearch engine
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.43
Rank#49  Overall
#7  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score493.55
Rank#5  Overall
#1  Document stores
Score51.17
Rank#22  Overall
#3  Search engines
Websitewww.marklogic.comwww.mongodb.comlucene.apache.org/­solr
Technical documentationdocs.marklogic.comdocs.mongodb.com/­manuallucene.apache.org/­solr/­resources.html
DeveloperMarkLogic Corp.MongoDB, IncApache Software Foundation
Initial release200120092006
Current release9.0, 20175.0, July 20218.9.0, June 2021
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-free infoSchema can be enforcedschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes 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.yesyes
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infoSQL92Read-only SQL queries via the MongoDB Connector for BISolr Parallel SQL Interface
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
proprietary protocol using JSONJava API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptJavaScriptJava plugins
Triggersyesyes infoin MongoDB Atlas onlyyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionMulti-document ACID Transactions with snapshot isolationoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsAccess rights for users and rolesyes
More information provided by the system vendor
MarkLogicMongoDBSolr
Specific characteristicsThe MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesThe main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosMarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersMarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsMarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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Conferences and events

MongoDB & Google Cloud Developer Summit
Virtual Event, 28 October 2021

MongoDB.Local London
London, 9 November 2021

Finished events

Introduction to MongoDB
Webinar, on demand, 27 July 2021 (finished)

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