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DBMS > Atos Standard Common Repository vs. GeoMesa vs. Riak KV vs. Snowflake

System Properties Comparison Atos Standard Common Repository vs. GeoMesa vs. Riak KV vs. Snowflake

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeoMesa  Xexclude from comparisonRiak KV  Xexclude from comparisonSnowflake  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.Distributed, fault tolerant key-value storeCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Key-value store
Spatial DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#189  Overall
#3  Spatial DBMS
Score6.50
Rank#60  Overall
#7  Key-value stores
Score71.03
Rank#17  Overall
#11  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.geomesa.orgriak.com/­products/­riak-kvwww.snowflake.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.snowflake.net/­manuals/­index.html
DeveloperAtos Convergence CreatorsCCRi and othersBasho TechnologiesSnowflake Computing Inc.
Initial release2016201420092014
Current release17033.1.1, January 20212.1.0, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaErlang
Server operating systemsLinuxLinux
OS X
hosted
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateoptionalyesnoyes
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.yesnonoyes
Secondary indexesyesyesrestricted
SQL infoSupport of SQLnononoyes
APIs and other access methodsLDAPHTTP API
Native Erlang Interface
CLI Client
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoJavaScript and Erlanguser defined functions
Triggersyesnoyes infopre-commit hooks and post-commit hooksno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisiondepending on storage layerSharding infono "single point of failure"yes
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationdepending on storage layerEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACID
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 layerno
User concepts infoAccess controlLDAP bind authenticationyes infodepending on the DBMS used for storagenoUsers with fine-grained authorization concept, user roles and pluggable authentication

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Atos Standard Common RepositoryGeoMesaRiak KVSnowflake
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