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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Dragonfly vs. Google Cloud Datastore

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Dragonfly vs. Google Cloud Datastore

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonDragonfly  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 networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelDocument store
Key-value store
Document storeKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.49
Rank#261  Overall
#38  Key-value stores
Score4.36
Rank#72  Overall
#12  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
cloud.google.com/­datastore
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.dragonflydb.io/­docscloud.google.com/­datastore/­docs
DeveloperAtos Convergence CreatorsDragonflyDB team and community contributorsGoogle
Initial release2016201620232008
Current release17031.0, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoBSL 1.1commercial
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 languageJavaPythonC++
Server operating systemsLinuxLinuxLinuxhosted
Data schemeSchema and schema-less with LDAP viewsschema-freescheme-freeschema-free
Typing infopredefined data types such as float or dateoptionalnostrings, hashes, lists, sets, sorted sets, bit arraysyes, 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.yesnonono
Secondary indexesyesnoyes
SQL infoSupport of SQLnononoSQL-like query language (GQL)
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoLuausing Google App Engine
Triggersyespublish/subscribe channels provide some trigger functionalityCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationMulti-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 configurationEventual ConsistencyImmediate 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 integritynononoyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic execution of command blocks and scriptsACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlLDAP bind authenticationyesPassword-based authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Atos Standard Common RepositoryBigchainDBDragonflyGoogle Cloud Datastore
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