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DBMS > EXASOL vs. GeoMesa vs. Heroic vs. Kinetica

System Properties Comparison EXASOL vs. GeoMesa vs. Heroic vs. Kinetica

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGeoMesa  Xexclude from comparisonHeroic  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSSpatial DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Websitewww.exasol.comwww.geomesa.orggithub.com/­spotify/­heroicwww.kinetica.com
Technical documentationwww.exasol.com/­resourceswww.geomesa.org/­documentation/­stable/­user/­index.htmlspotify.github.io/­heroicdocs.kinetica.com
DeveloperExasolCCRi and othersSpotifyKinetica
Initial release2000201420142012
Current release5.0.1, July 20247.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open 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 languageScalaJavaC, C++
Server operating systemsLinux
Data schemeyesyesschema-freeyes
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 indexesyesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statements
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnonouser defined functions
Triggersyesnonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesdepending on storage layernoyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardyes infodepending on the DBMS used for storageAccess rights for users and roles on table level

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More resources
EXASOLGeoMesaHeroicKinetica
DB-Engines blog posts

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