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DBMS > Amazon DocumentDB vs. DataFS vs. FileMaker vs. HugeGraph vs. YDB

System Properties Comparison Amazon DocumentDB vs. DataFS vs. FileMaker vs. HugeGraph vs. YDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDataFS  Xexclude from comparisonFileMaker  Xexclude from comparisonHugeGraph  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.FileMaker is a cross-platform RDBMS that includes a GUI frontend.A fast-speed and highly-scalable Graph DBMSA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument storeObject oriented DBMSRelational DBMSGraph DBMSDocument store
Relational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websiteaws.amazon.com/­documentdbnewdatabase.comwww.claris.com/­filemakergithub.com/­hugegraph
hugegraph.apache.org
github.com/­ydb-platform/­ydb
ydb.tech
Technical documentationaws.amazon.com/­documentdb/­resourcesdev.mobiland.com/­Overview.xspwww.claris.com/­resources/­documentationhugegraph.apache.org/­docsydb.tech/­en/­docs
DeveloperMobiland AGClaris infoa subsidiary of AppleBaiduYandex
Initial release20192018198320182019
Current release1.1.263, October 202219.4.1, November 20210.9
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedWindowsiOS infoclient part only
Linux
OS X
Windows
Linux
macOS
Unix
Linux
Data schemeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoA http query request can return the data in XML formatnono
Secondary indexesyesnoyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnonoyes infovia pluginsnoSQL-like query language (YQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible).NET Client API
Proprietary client DLL
WinRT client
Filemaker WebDirect
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C#
C++
VB.Net
PHPGroovy
Java
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyesasynchronous Gremlin script jobsno
Triggersnono, except callback-events from server when changes happenedyesno
Partitioning methods infoMethods for storing different data on different nodesnoneProprietary Sharding systemnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replication, warm standby infosince Version 14yes infodepending on used storage backend, e.g. Cassandra and HBaseActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACIDACID
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.noyesno
User concepts infoAccess controlAccess rights for users and rolesWindows-Profilesimple rights management via user accounts and connection to external directory servicesUsers, roles and permissionsAccess rights defined for Yandex Cloud users

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More resources
Amazon DocumentDBDataFSFileMakerHugeGraphYDB
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