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DBMS > MarkLogic vs. MongoDB vs. Snowflake

System Properties Comparison MarkLogic vs. MongoDB vs. Snowflake

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonMongoDB  Xexclude from comparisonSnowflake  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 infrastructureCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document storeRelational DBMS
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
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
Score58.26
Rank#18  Overall
#12  Relational DBMS
Websitewww.marklogic.comwww.mongodb.comwww.snowflake.com
Technical documentationdocs.marklogic.comdocs.mongodb.com/­manualdocs.snowflake.net/­manuals/­index.html
DeveloperMarkLogic Corp.MongoDB, IncSnowflake Computing Inc.
Initial release200120092014
Current release9.0, 20175.0, July 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.commercial
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)yes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
hosted
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 infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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 indexesyesyes
SQL infoSupport of SQLyes infoSQL92Read-only SQL queries via the MongoDB Connector for BIyes
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 JSONCLI Client
JDBC
ODBC
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
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptJavaScriptuser defined functions
Triggersyesyes infoin MongoDB Atlas onlyno infosimilar concept for controling cloud resources
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.yes
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 jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes
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 isolationACID
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 3.2no
User concepts infoAccess controlRole-based access control at the document and subdocument levelsAccess rights for users and rolesUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
MarkLogicMongoDBSnowflake
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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
MarkLogicMongoDBSnowflake
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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)

Recent citations in the news

Research Report Explores the Graph Database Market Size 2021 to 2028 | IBM, Microsoft, Oracle, AWS, Neo4j, OrientDB, TIBCO, Franz, OpenLink Software, MarkLogic, TigerGraph, DataStax – Puck77
24 October 2021, Puck77

Operational Database Management Systems (OPDBMS) Software Market Outlook to 2028- Oracle, Microsoft, SAP SE, IBM, Amazon Web Services, Google, Fujitsu, MarkLogic, InterSystems – Puck77
22 October 2021, Puck77

NoSQL Database Market Size, Growth 2028 | Key Companies – Objectivity, Neo Technology, MongoDB, MarkLogic Corporation, Google LLC, Couchbase – Puck77
24 October 2021, Puck77

RDF Databases Software Market SWOT Analysis 2021, by Prominent Players: MarkLogic, Ontotext, The Apache Software Foundation, Franz, Blazegraph, BrightstarDB, TripleBit, Stardog Union, – Puck77
21 October 2021, Puck77

Database Software Market Size, Growth 2028 | Key Companies – Teradata, MongoDB, Mark Logic, Couch base, SQLite, Datastax – Puck77
24 October 2021, Puck77

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