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DBMS > Apache Impala vs. GeoMesa vs. Ultipa

System Properties Comparison Apache Impala vs. GeoMesa vs. Ultipa

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGeoMesa  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.High performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSSpatial DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.13
Rank#335  Overall
#31  Graph DBMS
Websiteimpala.apache.orgwww.geomesa.orgwww.ultipa.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.ultipa.com/­document
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCCRi and othersUltipa
Initial release201320142019
Current release4.1.0, June 20224.0.5, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Scala
Server operating systemsLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factordepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencydepending on storage layer
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layer
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infodepending on the DBMS used for storage

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More resources
Apache ImpalaGeoMesaUltipa
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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