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DBMS > GeoSpock vs. Microsoft Access vs. Percona Server for MongoDB vs. Quasardb vs. TimescaleDB

System Properties Comparison GeoSpock vs. Microsoft Access vs. Percona Server for MongoDB vs. Quasardb vs. TimescaleDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonQuasardb  Xexclude from comparisonTimescaleDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial 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.)A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Distributed, high-performance timeseries databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitegeospock.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.percona.com/­mongodb/­software/­percona-server-for-mongodbquasar.aiwww.timescale.com
Technical documentationdeveloper.microsoft.com/­en-us/­accessdocs.percona.com/­percona-distribution-for-mongodbdoc.quasar.ai/­masterdocs.timescale.com
DeveloperGeoSpockMicrosoftPerconaquasardbTimescale
Initial release1992201520092017
Current release2.0, September 20191902 (16.0.11328.20222), March 20193.4.10-2.10, November 20173.14.1, January 20242.15.0, May 2024
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoGPL Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC++C++C++C
Server operating systemshostedWindows infoNot a real database server, but making use of DLLsLinuxBSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binarynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyes
Secondary indexestemporal, categoricalyesyesyes infowith tagsyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yes infobut not compliant to any SQL standardnoSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBCADO.NET
DAO
ODBC
OLE DB
proprietary protocol using JSONHTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineJavaScriptnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infosince Access 2010 using the ACE-enginenonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingSharding infoconsistent hashingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replication with selectable replication factorSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovia In-Memory Engineyes infoTransient modeno
User concepts infoAccess controlAccess rights for users can be defined per tableno infoa simple user-level security was built in till version Access 2003Access rights for users and rolesCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
GeoSpockMicrosoft AccessPercona Server for MongoDBQuasardbTimescaleDB
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