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DBMS > Atos Standard Common Repository vs. Bangdb vs. BigchainDB vs. Google Cloud Firestore vs. LMDB

System Properties Comparison Atos Standard Common Repository vs. Bangdb vs. BigchainDB vs. Google Cloud Firestore vs. LMDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBangdb  Xexclude from comparisonBigchainDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonLMDB  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 networksConverged and high performance database for device data, events, time series, document and graphBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A high performant, light-weight, embedded key-value database library
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Time Series DBMS
Document storeDocument storeKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score8.96
Rank#48  Overall
#8  Document stores
Score2.33
Rank#118  Overall
#21  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybangdb.comwww.bigchaindb.comfirebase.google.com/­products/­firestorewww.symas.com/­symas-embedded-database-lmdb
Technical documentationdocs.bangdb.combigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­firestorewww.lmdb.tech/­doc
DeveloperAtos Convergence CreatorsSachin Sinha, BangDBGoogleSymas
Initial release20162012201620172011
Current release1703BangDB 2.0, October 20210.9.32, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoAGPL v3commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++PythonC
Server operating systemsLinuxLinuxLinuxhostedLinux
Unix
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyes: string, long, double, int, geospatial, stream, eventsnoyes
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.yesnononono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesno
SQL infoSupport of SQLnoSQL like support with command line toolnonono
APIs and other access methodsLDAPProprietary protocol
RESTful HTTP API
CLI Client
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Server-side scripts infoStored proceduresnonoyes, Firebase Rules & Cloud Functionsno
Triggersyesyes, Notifications (with Streaming only)yes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factorMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeyes
User concepts infoAccess controlLDAP bind authenticationyes (enterprise version only)yesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no

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More resources
Atos Standard Common RepositoryBangdbBigchainDBGoogle Cloud FirestoreLMDB
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