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DBMS > Amazon Aurora vs. dBASE vs. Fujitsu Enterprise Postgres vs. Google Cloud Bigtable vs. mSQL

System Properties Comparison Amazon Aurora vs. dBASE vs. Fujitsu Enterprise Postgres vs. Google Cloud Bigtable vs. mSQL

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisondBASE  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazondBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.mSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Wide column store
Relational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.dbase.comwww.postgresql.fastware.comcloud.google.com/­bigtablehughestech.com.au/­products/­msql
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.dbase.com/­support/­knowledgebasewww.postgresql.fastware.com/­product-manualscloud.google.com/­bigtable/­docs
DeveloperAmazonAsthon TatePostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogleHughes Technologies
Initial release2015197920151994
Current releasedBASE 2019, 2019Fujitsu Enterprise Postgres 14, January 20224.4, October 2021
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial infofree licenses can be provided
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
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
Linux
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesnoyesnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsADO.NET
JDBC
ODBC
none infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
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
dBase proprietary IDE.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyesno infoThe IDE can access stored procedures in other database systems.user defined functionsnono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonepartitioning by range, list and by hashShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)none
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACIDAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesno
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Amazon AuroradBASEFujitsu Enterprise PostgresGoogle Cloud BigtablemSQL infoMini SQL
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