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DBMS > Amazon DynamoDB vs. Fauna vs. MarkLogic

System Properties Comparison Amazon DynamoDB vs. Fauna vs. MarkLogic

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonFauna  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudFauna (previously named FaunaDB) provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Operational and transactional Enterprise NoSQL database
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Document 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
Score75.20
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score1.74
Rank#129  Overall
#21  Document stores
#12  Graph DBMS
#62  Relational DBMS
#9  Time Series DBMS
Score9.45
Rank#48  Overall
#8  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Websiteaws.amazon.com/­dynamodbfauna.comwww.marklogic.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.fauna.comdocs.marklogic.com
DeveloperAmazonFauna, Inc.MarkLogic Corp.
Initial release201220142001
Current release9.0, 2017
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++
Server operating systemshostedhostedLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesnoyes
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoyes infoSQL92
APIs and other access methodsRESTful HTTP APIRESTful 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
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyes infovia XQuery or JavaScript
Triggersyes infoby integration with AWS Lambdanoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes
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 jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
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 regionACIDACID 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 roles can be defined via the AWS Identity and Access Management (IAM)Identity management, authentication, and access controlRole-based access control at the document and subdocument levels
More information provided by the system vendor
Amazon DynamoDBFaunaMarkLogic
Specific characteristicsServerless database delivered as an API Web-native security model with attribute...
» more
The MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantages100% serverless , no connection pooling bottlenecks, or cold starts unlike legacy...
» more
The main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenariosJavascript apps Serverless backends for microservices Cloud-native apps B2B and B2C...
» more
MarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customersShiftX
» more
MarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsMarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsUsage-based pricing including a free tier
» more
MarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more

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More resources
Amazon DynamoDBFaunaMarkLogic
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