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DBMS > Amazon DocumentDB vs. Cassandra vs. MarkLogic

System Properties Comparison Amazon DocumentDB vs. Cassandra vs. MarkLogic

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCassandra  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessOperational and transactional Enterprise NoSQL database
Primary database modelDocument storeWide column storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.44
Rank#142  Overall
#23  Document stores
Score119.28
Rank#10  Overall
#1  Wide column stores
Score9.43
Rank#49  Overall
#7  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Websiteaws.amazon.com/­documentdbcassandra.apache.orgwww.marklogic.com
Technical documentationaws.amazon.com/­documentdb/­resourcescassandra.apache.org/­doc/­latestdocs.marklogic.com
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookMarkLogic Corp.
Initial release201920082001
Current release4.0.1, September 20219.0, 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaC++
Server operating systemshostedBSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionyes
SQL infoSupport of SQLnoSQL-like SELECT, DML and DDL statements (CQL)yes infoSQL92
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScript
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
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 integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoAtomicity and isolation are supported for single operationsACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per objectRole-based access control at the document and subdocument levels
More information provided by the system vendor
Amazon DocumentDBCassandraMarkLogic
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
The MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
The main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
MarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
MarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
MarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
MarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more

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DataStax Enterprise: Apache Cassandra for enterprises.
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More resources
Amazon DocumentDBCassandraMarkLogic
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Recent citations in the news

How MongoDB Beat Amazon
8 October 2021, The Motley Fool

Amazon DocumentDB adds Global Clusters
2 June 2021, ZDNet

Amazon Adds Global Clusters to DocumentDB
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Introduction to Amazon DocumentDB With MongoDB Compatibility
12 October 2021, AiThority

Amazon DocumentDB Adds Global Cluster Support
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15 October 2021, Radford University Athletics

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10 August 2021, Business Wire

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RDF Databases Software Market Size, Trends 2021, Growth, Share, Trends And Forecast to 2028 | Marklogic, Ontotext, The Apache Software Foundation, Franz – Otterbein 360
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