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DBMS > GeoMesa vs. Microsoft Access vs. SiteWhere vs. Solr vs. SpaceTime

System Properties Comparison GeoMesa vs. Microsoft Access vs. SiteWhere vs. Solr vs. SpaceTime

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSiteWhere  Xexclude from comparisonSolr  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.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.)M2M integration platform for persisting/querying time series dataA widely used distributed, scalable search engine based on Apache LuceneSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelSpatial DBMSRelational DBMSTime Series DBMSSearch engineSpatial DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websitewww.geomesa.orgwww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­sitewhere/­sitewheresolr.apache.orgwww.mireo.com/­spacetime
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldeveloper.microsoft.com/­en-us/­accesssitewhere1.sitewhere.io/­index.htmlsolr.apache.org/­resources.html
DeveloperCCRi and othersMicrosoftSiteWhereApache Software FoundationMireo
Initial release20141992201020062020
Current release5.0.0, May 20241902 (16.0.11328.20222), March 20199.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoBundled with Microsoft OfficeOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++JavaJavaC++
Server operating systemsWindows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeyesyespredefined schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingyes
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.nonoyesno
Secondary indexesyesyesnoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardnoSolr Parallel SQL InterfaceA subset of ANSI SQL is implemented
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
HTTP RESTJava API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesC
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
C#
C++
Python
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineJava pluginsno
Triggersnoyes infosince Access 2010 using the ACE-engineyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernoneSharding infobased on HBaseShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernoneselectable replication factor infobased on HBaseyesReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyesno
User concepts infoAccess controlyes infodepending on the DBMS used for storageno infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization conceptyesyes

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More resources
GeoMesaMicrosoft AccessSiteWhereSolrSpaceTime
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