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DBMS > Amazon DynamoDB vs. FileMaker vs. Microsoft Azure Synapse Analytics vs. PlanetScale

System Properties Comparison Amazon DynamoDB vs. FileMaker vs. Microsoft Azure Synapse Analytics vs. PlanetScale

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudFileMaker is a cross-platform RDBMS that includes a GUI frontend.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.claris.com/­filemakerazure.microsoft.com/­services/­synapse-analyticsplanetscale.com
Technical documentationdocs.aws.amazon.com/­dynamodbwww.claris.com/­resources/­documentationdocs.microsoft.com/­azure/­synapse-analyticsplanetscale.com/­docs
DeveloperAmazonClaris infoa subsidiary of AppleMicrosoftPlanetScale
Initial release2012198320162020
Current release19.4.1, November 2021
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
hostedDocker
Linux
macOS
Data schemeschema-freeyesyesyes
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.yes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infovia pluginsyesyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIFilemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
PHPC#
Java
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesTransact SQLyes infoproprietary syntax
Triggersyes infoby integration with AWS Lambdayesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infonot for MyISAM storage engine
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 regionnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)simple rights management via user accounts and connection to external directory servicesyesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon DynamoDBFileMakerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePlanetScale
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