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DBMS > Amazon DocumentDB vs. FileMaker vs. GigaSpaces vs. TigerGraph

System Properties Comparison Amazon DocumentDB vs. FileMaker vs. GigaSpaces vs. TigerGraph

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFileMaker  Xexclude from comparisonGigaSpaces  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFileMaker is a cross-platform RDBMS that includes a GUI frontend.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteaws.amazon.com/­documentdbwww.claris.com/­filemakerwww.gigaspaces.comwww.tigergraph.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.claris.com/­resources/­documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.tigergraph.com
DeveloperClaris infoa subsidiary of AppleGigaspaces Technologies
Initial release2019198320002017
Current release19.4.1, November 202115.5, September 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; Commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
Linux
macOS
Solaris
Windows
Linux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoA http query request can return the data in XML formatno infoXML can be used for describing objects metadatano
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infovia pluginsSQL-99 for query and DML statementsSQL-like query language (GSQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Filemaker WebDirect
JDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
PHP.Net
C++
Java
Python
Scala
C++
Java
Server-side scripts infoStored proceduresnoyesyesyes
Triggersnoyesyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
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 14Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infoMap-Reduce pattern can be built with XAP task executorsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolessimple rights management via user accounts and connection to external directory servicesRole-based access controlRole-based access control

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More resources
Amazon DocumentDBFileMakerGigaSpacesTigerGraph
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