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DBMS > GeoMesa vs. Graph Engine vs. Lovefield vs. TigerGraph

System Properties Comparison GeoMesa vs. Graph Engine vs. Lovefield vs. TigerGraph

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonLovefield  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineEmbeddable relational database for web apps written in pure JavaScriptA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelSpatial DBMSGraph DBMS
Key-value store
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.geomesa.orgwww.graphengine.iogoogle.github.io/­lovefieldwww.tigergraph.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.graphengine.io/­docs/­manualgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.tigergraph.com
DeveloperCCRi and othersMicrosoftGoogle
Initial release2014201020142017
Current release4.0.5, February 20242.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoMIT LicenseOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala.NET and CJavaScriptC++
Server operating systems.NETserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyes
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
F#
Visual Basic
JavaScriptC++
Java
Server-side scripts infoStored proceduresnoyesnoyes
TriggersnonoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerhorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layer
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
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 storagenoRole-based access control

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More resources
GeoMesaGraph Engine infoformer name: TrinityLovefieldTigerGraph
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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