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DBMS > Atos Standard Common Repository vs. GeoMesa vs. Ignite vs. PouchDB

System Properties Comparison Atos Standard Common Repository vs. GeoMesa vs. Ignite vs. PouchDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeoMesa  Xexclude from comparisonIgnite  Xexclude from comparisonPouchDB  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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.JavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Key-value store
Spatial DBMSKey-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#218  Overall
#4  Spatial DBMS
Score4.04
Rank#86  Overall
#12  Key-value stores
#46  Relational DBMS
Score2.70
Rank#114  Overall
#22  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.geomesa.orgignite.apache.orgpouchdb.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlapacheignite.readme.io/­docspouchdb.com/­guides
DeveloperAtos Convergence CreatorsCCRi and othersApache Software FoundationApache Software Foundation
Initial release2016201420152012
Current release17034.0.5, February 2024Apache Ignite 2.67.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaC++, Java, .NetJavaScript
Server operating systemsLinuxLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesno
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.yesnoyesno
Secondary indexesyesyesyesyes infovia views
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsLDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesAll languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)View functions in JavaScript
Triggersyesnoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisiondepending on storage layerShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layeryes (replicated cache)Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationdepending on storage layerImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layeryesyes
User concepts infoAccess controlLDAP bind authenticationyes infodepending on the DBMS used for storageSecurity Hooks for custom implementationsno

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More resources
Atos Standard Common RepositoryGeoMesaIgnitePouchDB
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