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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLMDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is 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 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 multi-model DBMS and application serverA high performant, light-weight, embedded key-value database library
Primary database modelDocument store
Key-value store
Document storeDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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-repositorywww.bigchaindb.comfirebase.google.com/­products/­firestorewww.intersystems.com/­products/­cachewww.symas.com/­symas-embedded-database-lmdb
Technical documentationbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­firestoredocs.intersystems.comwww.lmdb.tech/­doc
DeveloperAtos Convergence CreatorsGoogleInterSystemsSymas
Initial release20162016201719972011
Current release17032018.1.4, May 20200.9.32, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC
Server operating systemsLinuxLinuxhostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Unix
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freedepending on used data modelschema-free
Typing infopredefined data types such as float or dateoptionalnoyesyes
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.yesnonoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnononoyesno
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
.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 proceduresnoyes, Firebase Rules & Cloud Functionsyesno
Triggersyesyes, with Cloud Functionsyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlLDAP bind authenticationyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users, groups and rolesno

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More resources
Atos Standard Common RepositoryBigchainDBGoogle Cloud FirestoreInterSystems CachéLMDB
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