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DBMS > Amazon DynamoDB vs. Kinetica vs. MarkLogic vs. Microsoft Azure Cosmos DB vs. Percona Server for MongoDB

System Properties Comparison Amazon DynamoDB vs. Kinetica vs. MarkLogic vs. Microsoft Azure Cosmos DB vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonKinetica  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudFully vectorized database across both GPUs and CPUsOperational and transactional Enterprise NoSQL databaseGlobally distributed, horizontally scalable, multi-model database serviceA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Graph DBMS
Key-value store
Wide column store
Document store
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.52
Rank#254  Overall
#39  Document stores
Websiteaws.amazon.com/­dynamodbwww.kinetica.comwww.marklogic.comazure.microsoft.com/­services/­cosmos-dbwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.kinetica.comdocs.marklogic.comlearn.microsoft.com/­azure/­cosmos-dbdocs.percona.com/­percona-distribution-for-mongodb
DeveloperAmazonKineticaMarkLogic Corp.MicrosoftPercona
Initial release20122012200120142015
Current release7.1, August 202111.0, December 20223.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercial inforestricted free version is availablecommercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C++
Server operating systemshostedLinuxLinux
OS X
Windows
hostedLinux
Data schemeschema-freeyesschema-free infoSchema can be enforcedschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON typesyes
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.noyesno
Secondary indexesyesyesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infoSQL92SQL-like query languageno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
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
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
proprietary protocol using JSON
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnouser defined functionsyes infovia XQuery or JavaScriptJavaScriptJavaScript
Triggersyes infoby integration with AWS Lambdayes infotriggers when inserted values for one or more columns fall within a specified rangeyesJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnoACID infocan act as a resource manager in an XA/JTA transactionMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes, with Range Indexesyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and roles on table levelRole-based access control at the document and subdocument levelsAccess rights can be defined down to the item levelAccess rights for users and roles

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More resources
Amazon DynamoDBKineticaMarkLogicMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBPercona Server for MongoDB
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