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DBMS > Amazon Aurora vs. dBASE vs. HEAVY.AI

System Properties Comparison Amazon Aurora vs. dBASE vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisondBASE  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score11.18
Rank#44  Overall
#28  Relational DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.dbase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.dbase.com/­support/­knowledgebasedocs.heavy.ai
DeveloperAmazonAsthon TateHEAVY.AI, Inc.
Initial release201519792016
Current releasedBASE 2019, 20195.10, January 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDA
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesno
Secondary indexesyesyesno
SQL infoSupport of SQLyesnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
none infoThe IDE can access other DBMS or ODBC-sources.JDBC
ODBC
Thrift
Vega
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 IDEAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesno infoThe IDE can access stored procedures in other database systems.no
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
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 DBMSno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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-standardAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Amazon AuroradBASEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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