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DBMS > Cachelot.io vs. GeoSpock vs. Microsoft Access vs. Postgres-XL vs. Quasardb

System Properties Comparison Cachelot.io vs. GeoSpock vs. Microsoft Access vs. Postgres-XL vs. Quasardb

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuasardb  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionIn-memory caching systemSpatial and temporal data processing engine for extreme data scaleMicrosoft 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.)Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed, high-performance timeseries database
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitecachelot.iogeospock.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.postgres-xl.orgquasar.ai
Technical documentationdeveloper.microsoft.com/­en-us/­accesswww.postgres-xl.org/­documentationdoc.quasar.ai/­master
DeveloperGeoSpockMicrosoftquasardb
Initial release201519922014 infosince 2012, originally named StormDB2009
Current release2.0, September 20191902 (16.0.11328.20222), March 201910 R1, October 20183.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoSimplified BSD Licensecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoMozilla public licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, JavascriptC++CC++
Server operating systemsFreeBSD
Linux
OS X
hostedWindows infoNot a real database server, but making use of DLLsLinux
macOS
BSD
Linux
OS X
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes 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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesnotemporal, categoricalyesyesyes infowith tags
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yes infobut not compliant to any SQL standardyes infodistributed, parallel query executionSQL-like query language
APIs and other access methodsMemcached protocolJDBCADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineuser defined functionsno
Triggersnonoyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingnonehorizontal partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction loggingACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentnoyesyes 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.nononoyes infoTransient mode
User concepts infoAccess controlnoAccess rights for users can be defined per tableno 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
Cachelot.ioGeoSpockMicrosoft AccessPostgres-XLQuasardb
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