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DBMS > Fauna vs. MarkLogic vs. MongoDB

System Properties Comparison Fauna vs. MarkLogic vs. MongoDB

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Editorial information provided by DB-Engines
NameFauna  Xexclude from comparisonMarkLogic  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionFauna (previously named FaunaDB) provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Operational 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 infrastructure
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#136  Overall
#22  Document stores
#12  Graph DBMS
#67  Relational DBMS
#9  Time Series DBMS
Score9.15
Rank#48  Overall
#7  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score496.54
Rank#5  Overall
#1  Document stores
Websitefauna.comwww.marklogic.comwww.mongodb.com
Technical documentationdocs.fauna.comdocs.marklogic.comdocs.mongodb.com/­manual
DeveloperFauna, Inc.MarkLogic Corp.MongoDB, Inc
Initial release201420012009
Current release9.0, 20175.0, July 2021
License infoCommercial or Open Sourcecommercialcommercial 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.
Cloud-based only infoOnly available as a cloud serviceyesnono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++C++
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-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.
Typing infopredefined data types such as float or datenoyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infoSQL92Read-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsRESTful HTTP APIJava 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 JSON
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
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
Server-side scripts infoStored proceduresuser defined functionsyes infovia XQuery or JavaScriptJavaScript
Triggersnoyesyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlIdentity management, authentication, and access controlRole-based access control at the document and subdocument levelsAccess rights for users and roles
More information provided by the system vendor
FaunaMarkLogicMongoDB
Specific characteristicsServerless database delivered as an API Web-native security model with attribute...
» more
The 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 advantages100% serverless , no connection pooling bottlenecks, or cold starts unlike legacy...
» more
The 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 scenariosJavascript apps Serverless backends for microservices Cloud-native apps B2B and B2C...
» more
MarkLogic’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 customersShiftX
» more
MarkLogic 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 modelsUsage-based pricing including a free tier
» more
MarkLogic 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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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
FaunaMarkLogicMongoDB
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