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DBMS > Amazon Aurora vs. EDB Postgres vs. FileMaker vs. Microsoft Azure Synapse Analytics vs. Sphinx

System Properties Comparison Amazon Aurora vs. EDB Postgres vs. FileMaker vs. Microsoft Azure Synapse Analytics vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEDB Postgres  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­rds/­aurorawww.enterprisedb.comwww.claris.com/­filemakerazure.microsoft.com/­services/­synapse-analyticssphinxsearch.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.enterprisedb.com/­docswww.claris.com/­resources/­documentationdocs.microsoft.com/­azure/­synapse-analyticssphinxsearch.com/­docs
DeveloperAmazonEnterpriseDBClaris infoa subsidiary of AppleMicrosoftSphinx Technologies Inc.
Initial release20152005198320162001
Current release14, December 202119.4.1, November 20213.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infoBSD for PostgreSQL-componentscommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++
Server operating systemshostedLinux
Windows
iOS infoclient part only
Linux
OS X
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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 infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyes infostandard with numerous extensionsyes infovia pluginsyesSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
PHPC#
Java
PHP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesTransact SQLno
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning infoby hash, list or rangenoneSharding, horizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationSource-replica replication, warm standby infosince Version 14yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesyesno

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More resources
Amazon AuroraEDB PostgresFileMakerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSphinx
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