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DBMS > GeoMesa vs. Impala vs. TigerGraph

System Properties Comparison GeoMesa vs. Impala vs. TigerGraph

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonImpala  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Analytic DBMS for HadoopA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelSpatial DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.22
Rank#211  Overall
#4  Spatial DBMS
Score18.66
Rank#37  Overall
#23  Relational DBMS
Score2.03
Rank#154  Overall
#11  Graph DBMS
Websitewww.geomesa.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.tigergraph.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.tigergraph.com
DeveloperCCRi and othersCloudera
Initial release201420132017
Current release4.0.1, April 20234.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++C++
Server operating systemsLinuxLinux
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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCC++
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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 layernono
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access control

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More resources
GeoMesaImpalaTigerGraph
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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