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DBMS > Amazon DynamoDB vs. Geode vs. MarkLogic vs. Microsoft Azure Cosmos DB vs. searchxml

System Properties Comparison Amazon DynamoDB vs. Geode vs. MarkLogic vs. Microsoft Azure Cosmos DB vs. searchxml

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonGeode  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesOperational and transactional Enterprise NoSQL databaseGlobally distributed, horizontally scalable, multi-model database serviceDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument store
Key-value store
Key-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Graph DBMS
Key-value store
Wide column store
Native XML DBMS
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websiteaws.amazon.com/­dynamodbgeode.apache.orgwww.progress.com/­marklogicazure.microsoft.com/­services/­cosmos-dbwww.searchxml.net/­category/­products
Technical documentationdocs.aws.amazon.com/­dynamodbgeode.apache.org/­docswww.progress.com/­marklogic/­documentationlearn.microsoft.com/­azure/­cosmos-dbwww.searchxml.net/­support/­handouts
DeveloperAmazonOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.MarkLogic Corp.Microsoftinformationpartners gmbh
Initial release20122002200120142015
Current release1.1, February 201711.0, December 20221.0
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial inforestricted free version is availablecommercialcommercial
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 languageJavaC++C++
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows
hostedWindows
Data schemeschema-freeschema-freeschema-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.noyesyes
Secondary indexesyesnoyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoSQL-like query language (OQL)yes infoSQL92SQL-like query languageno
APIs and other access methodsRESTful HTTP APIJava Client API
Memcached protocol
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
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
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
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnouser defined functionsyes infovia XQuery or JavaScriptJavaScriptyes infoon the application server
Triggersyes infoby integration with AWS Lambdayes infoCache Event ListenersyesJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyesyes infoImplicit feature of the cloud serviceyes infosychronisation to multiple collections
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*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
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 regionyes, on a single nodeACID infocan act as a resource manager in an XA/JTA transactionMulti-item ACID transactions with snapshot isolation within a partitionmultiple readers, single writer
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.yesyes, with Range Indexesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights per client and object definableRole-based access control at the document and subdocument levelsAccess rights can be defined down to the item levelDomain, group and role-based access control at the document level and for application services

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More resources
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