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DBMS > GeoSpock vs. Kingbase vs. Microsoft Access vs. Solr

System Properties Comparison GeoSpock vs. Kingbase vs. Microsoft Access vs. Solr

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonKingbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSolr  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 scaleAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.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.)A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitegeospock.comwww.kingbase.com.cnwww.microsoft.com/­en-us/­microsoft-365/­accesssolr.apache.org
Technical documentationdeveloper.microsoft.com/­en-us/­accesssolr.apache.org/­resources.html
DeveloperGeoSpockBeiJing KINGBASE Information technologies inc.MicrosoftApache Software Foundation
Initial release199919922006
Current release2.0, September 2019V8.0, August 20211902 (16.0.11328.20222), March 20199.6.0, April 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC and JavaC++Java
Server operating systemshostedLinux
Windows
Windows infoNot a real database server, but making use of DLLsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.noyesyes
Secondary indexestemporal, categoricalyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLANSI SQL for query only (using Presto)Standard with numerous extensionsyes infobut not compliant to any SQL standardSolr Parallel SQL Interface
APIs and other access methodsJDBCADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
ADO.NET
DAO
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes infosince Access 2010 using the ACE-engineJava plugins
Triggersnoyesyes infosince Access 2010 using the ACE-engineyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning (by range, list and hash) and vertical partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003yes

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More resources
GeoSpockKingbaseMicrosoft AccessSolr
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