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DBMS > GeoMesa vs. Realm vs. Teradata vs. TigerGraph

System Properties Comparison GeoMesa vs. Realm vs. Teradata vs. TigerGraph

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonRealm  Xexclude from comparisonTeradata  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA hybrid cloud data analytics software platform (Teradata Vantage)A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelSpatial DBMSDocument storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.geomesa.orgrealm.iowww.teradata.comwww.tigergraph.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlrealm.io/­docsdocs.teradata.comdocs.tigergraph.com
DeveloperCCRi and othersRealm, acquired by MongoDB in May 2019Teradata
Initial release2014201419842017
Current release4.0.5, February 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++
Server operating systemsAndroid
Backend: server-less
iOS
Windows
hosted
Linux
Linux
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.nonoyesno
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnonoyes infoSQL 2016 + extensionsSQL-like query language (GSQL)
APIs and other access methods.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Java
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessaryyes infoUDFs, stored procedures, table functions in parallelyes
Triggersnoyes infoChange Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryes infoIn-Memory realmyesno
User concepts infoAccess controlyes infodepending on the DBMS used for storageyesfine grained access rights according to SQL-standardRole-based access control

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More resources
GeoMesaRealmTeradataTigerGraph
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