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DBMS > Atos Standard Common Repository vs. Badger vs. Faircom EDGE vs. Google Cloud Datastore

System Properties Comparison Atos Standard Common Repository vs. Badger vs. Faircom EDGE vs. Google Cloud Datastore

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBadger  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGoogle Cloud Datastore  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 networksAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelDocument store
Key-value store
Key-value storeKey-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­dgraph-io/­badgerwww.faircom.com/­products/­faircom-edgecloud.google.com/­datastore
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlcloud.google.com/­datastore/­docs
DeveloperAtos Convergence CreatorsDGraph LabsFairCom CorporationGoogle
Initial release2016201719792008
Current release1703V3, October 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoRestricted, free version availablecommercial
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 languageJavaGoANSI C, C++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Android
Linux infoARM, x86
Raspbian
Windows
hosted
Data schemeSchema and schema-less with LDAP viewsschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateoptionalnoyes, ANSI Standard SQL Typesyes, details here
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 indexesyesnoyesyes
SQL infoSupport of SQLnonoyes infoANSI SQL queriesSQL-like query language (GQL)
APIs and other access methodsLDAPADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsGoC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++using Google App Engine
TriggersyesnoyesCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneFile partitioning infoCustomizable business rules for partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynonoyes infowhen using SQLyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes
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.yesnoyesno
User concepts infoAccess controlLDAP bind authenticationnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Atos Standard Common RepositoryBadgerFaircom EDGE infoformerly c-treeEDGEGoogle Cloud Datastore
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