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DBMS > InfinityDB vs. Microsoft Access vs. PostgreSQL vs. Quasardb

System Properties Comparison InfinityDB vs. Microsoft Access vs. PostgreSQL vs. Quasardb

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Editorial information provided by DB-Engines
NameInfinityDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPostgreSQL  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA Java embedded Key-Value Store which extends the Java Map interfaceMicrosoft 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.)Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDistributed, high-performance timeseries database
Primary database modelKey-value storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#365  Overall
#55  Key-value stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websiteboilerbay.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.postgresql.orgquasar.ai
Technical documentationboilerbay.com/­infinitydb/­manualdeveloper.microsoft.com/­en-us/­accesswww.postgresql.org/­docsdoc.quasar.ai/­master
DeveloperBoiler Bay Inc.MicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerquasardb
Initial release200219921989 info1989: Postgres, 1996: PostgreSQL2009
Current release4.01902 (16.0.11328.20222), March 201916.3, May 20243.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CC++
Server operating systemsAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
BSD
Linux
OS X
Windows
Data schemeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyesschema-free
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyesyes infointeger and binary
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesno infomanual creation possible, using inversions based on multi-value capabilityyesyesyes infowith tags
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardyes infostandard with numerous extensionsSQL-like query language
APIs and other access methodsAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesJavaC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonepartitioning by range, list and (since PostgreSQL 11) by hashSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOptimistic locking for transactions; no isolation for bulk loadsACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
InfinityDBMicrosoft AccessPostgreSQLQuasardb
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