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DBMS > GeoMesa vs. HEAVY.AI vs. OrigoDB vs. SWC-DB

System Properties Comparison GeoMesa vs. HEAVY.AI vs. OrigoDB vs. SWC-DB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOrigoDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA fully ACID in-memory object graph databaseA high performance, scalable Wide Column DBMS
Primary database modelSpatial DBMSRelational DBMSDocument store
Object oriented DBMS
Wide column store
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.geomesa.orggithub.com/­heavyai/­heavydb
www.heavy.ai
origodb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.heavy.aiorigodb.com/­docs
DeveloperCCRi and othersHEAVY.AI, Inc.Robert Friberg et alAlex Kashirin
Initial release201420162009 infounder the name LiveDB2020
Current release4.0.5, February 20245.10, January 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition availableOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++ and CUDAC#C++
Server operating systemsLinuxLinux
Windows
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesUser 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 .NETno
Secondary indexesyesnoyes
SQL infoSupport of SQLnoyesnoSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
HTTP API
LINQ
Proprietary protocol
Thrift
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.NetC++
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoRound robinhorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyesno
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardRole based authorization

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More resources
GeoMesaHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OrigoDBSWC-DB infoSuper Wide Column Database
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