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DBMS > GeoMesa vs. Heroic vs. Warp 10

System Properties Comparison GeoMesa vs. Heroic vs. Warp 10

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHeroic  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionGeoMesa 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 ElasticSearchTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSpatial DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#192  Overall
#3  Spatial DBMS
Score0.21
Rank#290  Overall
#26  Time Series DBMS
Score0.23
Rank#284  Overall
#25  Time Series DBMS
Websitewww.geomesa.orgspotify.github.io/­heroic/­#!/­indexwww.warp10.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlspotify.github.io/­heroic/­#!/­docs/­overviewwww.warp10.io/­content/­02_Getting_started
DeveloperCCRi and othersSpotifySenX
Initial release201420142015
Current release3.1.1, January 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaJava
Server operating systemsLinux
OS X
Windows
Data schemeyesschema-freeschema-free
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 infovia Elasticsearchno
SQL infoSupport of SQLnonono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
Jupyter
WebSocket
Server-side scripts infoStored proceduresnonoyes infoWarpScript
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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 storageMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
GeoMesaHeroicWarp 10
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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