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DBMS > Amazon DynamoDB vs. MarkLogic vs. Microsoft Azure Cosmos DB vs. SAP IQ vs. Solr

System Properties Comparison Amazon DynamoDB vs. MarkLogic vs. Microsoft Azure Cosmos DB vs. SAP IQ vs. Solr

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudOperational and transactional Enterprise NoSQL databaseGlobally distributed, horizontally scalable, multi-model database serviceColumnar RDBMS optimized for Big Data analyticsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Key-value store
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Graph DBMS
Key-value store
Wide column store
Relational DBMS infocolumn-orientedSearch engine
Secondary database modelsSpatial DBMSSpatial 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
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
Score2.75
Rank#104  Overall
#53  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­dynamodbwww.marklogic.comazure.microsoft.com/­services/­cosmos-dbwww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlsolr.apache.org
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.marklogic.comlearn.microsoft.com/­azure/­cosmos-dbhelp.sap.com/­docs/­SAP_IQsolr.apache.org/­resources.html
DeveloperAmazonMarkLogic Corp.MicrosoftSAP, formerly SybaseApache Software Foundation
Initial release20122001201419942006
Current release11.0, December 202216.1 SPS04, April 20199.6.0, April 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial inforestricted free version is availablecommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedLinux
OS X
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-free infoSchema can be enforcedschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyesyes infosupports customizable data types and automatic typing
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.yesnoyes
Secondary indexesyesyesyes infoAll properties auto-indexed by defaultyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyes infoSQL92SQL-like query languageyesSolr Parallel SQL Interface
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
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
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
C#
C++
Java
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptJavaScriptyesJava plugins
Triggersyes infoby integration with AWS LambdayesJavaScriptyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceshared disk or shared nothing architectures with SAP IQ MultiplexerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoImplicit feature of the cloud serviceSAP/Sybase Replication Serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
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 regionACID infocan act as a resource manager in an XA/JTA transactionMulti-item ACID transactions with snapshot isolation within a partitionACIDoptimistic locking
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, with Range Indexesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access control at the document and subdocument levelsAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardyes

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More resources
Amazon DynamoDBMarkLogicMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSAP IQ infoformer name: Sybase IQSolr
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