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DBMS > GeoMesa vs. GridDB vs. Lovefield vs. Microsoft Access vs. TigerGraph

System Properties Comparison GeoMesa vs. GridDB vs. Lovefield vs. Microsoft Access vs. TigerGraph

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGridDB  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Scalable in-memory time series database optimized for IoT and Big DataEmbeddable relational database for web apps written in pure JavaScriptMicrosoft 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 complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelSpatial DBMSTime Series DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.geomesa.orggriddb.netgoogle.github.io/­lovefieldwww.microsoft.com/­en-us/­microsoft-365/­accesswww.tigergraph.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.griddb.netgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddeveloper.microsoft.com/­en-us/­accessdocs.tigergraph.com
DeveloperCCRi and othersToshiba CorporationGoogleMicrosoft
Initial release20142013201419922017
Current release5.0.0, May 20245.1, August 20222.1.12, February 20171902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0commercial infoBundled with Microsoft Officecommercial
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++JavaScriptC++C++
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariWindows infoNot a real database server, but making use of DLLsLinux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language infovia JavaScript builder patternyes infobut not compliant to any SQL standardSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Java
Server-side scripts infoStored proceduresnononoyes infosince Access 2010 using the ACE-engineyes
TriggersnoyesUsing read-only observersyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynonoyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACIDACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes 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.depending on storage layeryesyes infousing MemoryDBno
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users can be defined per databasenono infoa simple user-level security was built in till version Access 2003Role-based access control
More information provided by the system vendor
GeoMesaGridDBLovefieldMicrosoft AccessTigerGraph
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
GeoMesaGridDBLovefieldMicrosoft AccessTigerGraph
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