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DBMS > Amazon Aurora vs. FileMaker vs. HarperDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Amazon Aurora vs. FileMaker vs. HarperDB vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonFileMaker  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonFileMaker is a cross-platform RDBMS that includes a GUI frontend.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.claris.com/­filemakerwww.harperdb.ioazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.claris.com/­resources/­documentationdocs.harperdb.io/­docsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperAmazonClaris infoa subsidiary of AppleHarperDBMicrosoft
Initial release2015198320172016
Current release19.4.1, November 20213.1, August 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.jsC++
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
Linux
OS X
hosted
Data schemeyesyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes
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.yesyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infovia pluginsSQL-like data manipulation statementsyes
APIs and other access methodsADO.NET
JDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
PHP.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
Java
PHP
Server-side scripts infoStored proceduresyesyesCustom Functions infosince release 3.1Transact SQL
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneA table resides as a whole on one (or more) nodes in a clusterSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication, warm standby infosince Version 14yes infothe nodes on which a table resides can be definedyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesAccess rights for users and rolesyes

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More resources
Amazon AuroraFileMakerHarperDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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