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DBMS > GeoMesa vs. Heroic vs. Hypertable vs. OrigoDB

System Properties Comparison GeoMesa vs. Heroic vs. Hypertable vs. OrigoDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHeroic  Xexclude from comparisonHypertable  Xexclude from comparisonOrigoDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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 ElasticSearchAn open source BigTable implementation based on distributed file systems such as HadoopA fully ACID in-memory object graph database
Primary database modelSpatial DBMSTime Series DBMSWide column storeDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitewww.geomesa.orggithub.com/­spotify/­heroicorigodb.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlspotify.github.io/­heroicorigodb.com/­docs
DeveloperCCRi and othersSpotifyHypertable Inc.Robert Friberg et al
Initial release2014201420092009 infounder the name LiveDB
Current release5.0.0, May 20240.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoGNU version 3. Commercial license availableOpen Source
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
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesyes infovia Elasticsearchrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnononono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
C++ API
Thrift
.NET Client API
HTTP API
LINQ
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
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 storagenoRole based authorization

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More resources
GeoMesaHeroicHypertableOrigoDB
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