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DBMS > Atos Standard Common Repository vs. GeoMesa vs. HEAVY.AI

System Properties Comparison Atos Standard Common Repository vs. GeoMesa vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeoMesa  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGeoMesa 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 hardware
Primary database modelDocument store
Key-value store
Spatial DBMSRelational DBMS
Secondary database modelsSpatial 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
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.geomesa.orggithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.heavy.ai
DeveloperAtos Convergence CreatorsCCRi and othersHEAVY.AI, Inc.
Initial release201620142016
Current release17034.0.5, February 20245.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaC++ and CUDA
Server operating systemsLinuxLinux
Data schemeSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateoptionalyesyes
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.yesnono
Secondary indexesyesyesno
SQL infoSupport of SQLnonoyes
APIs and other access methodsLDAPJDBC
ODBC
Thrift
Vega
Supported programming languagesAll languages with LDAP bindingsAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisiondepending on storage layerSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationdepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnono
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.yesdepending on storage layeryes
User concepts infoAccess controlLDAP bind authenticationyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryGeoMesaHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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6 April 2021, Matthias Gelbmann

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