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DBMS > Amazon Aurora vs. Interbase vs. Manticore Search vs. Microsoft Access

System Properties Comparison Amazon Aurora vs. Interbase vs. Manticore Search vs. Microsoft Access

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonInterbase  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonLight-weight proven RDBMS infooriginally from BorlandMulti-storage database for search, including full-text search.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument storeTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score3.78
Rank#77  Overall
#41  Relational DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.embarcadero.com/­products/­interbasemanticoresearch.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.embarcadero.com/­products/­interbasemanual.manticoresearch.comdeveloper.microsoft.com/­en-us/­access
DeveloperAmazonEmbarcaderoManticore SoftwareMicrosoft
Initial release2015198420171992
Current releaseInterBase 2020, December 20196.0, February 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyesyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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 infoexport as XML data possibleCan index from XML
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesyesSQL-like query languageyes infobut not compliant to any SQL standard
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
DAO
ODBC
OLE DB
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
Object Pascal
PHP
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyesyes infoInterbase procedure and trigger languageuser defined functionsyes infosince Access 2010 using the ACE-engine
Triggersyesyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInterbase Change ViewsSynchronous replication based on Galera librarynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes infobut no files for transaction logging
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-standardfine grained access rights according to SQL-standardnono infoa simple user-level security was built in till version Access 2003

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More resources
Amazon AuroraInterbaseManticore SearchMicrosoft Access
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