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DBMS > GeoMesa vs. Postgres-XL vs. Teradata

System Properties Comparison GeoMesa vs. Postgres-XL vs. Teradata

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document 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
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.geomesa.orgwww.postgres-xl.orgwww.teradata.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.postgres-xl.org/­documentationdocs.teradata.com
DeveloperCCRi and othersTeradata
Initial release20142014 infosince 2012, originally named StormDB1984
Current release4.0.5, February 202410 R1, October 2018Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC
Server operating systemsLinux
macOS
hosted
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infoXML type, but no XML query functionalityyes
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyes infodistributed, parallel query executionyes infoSQL 2016 + extensions
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerhorizontal partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
GeoMesaPostgres-XLTeradata
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