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DBMS > Atos Standard Common Repository vs. BigObject vs. Google Cloud Firestore vs. LevelDB vs. YDB

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. Google Cloud Firestore vs. LevelDB vs. YDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigObject  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonLevelDB  Xexclude from comparisonYDB  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 networksAnalytic DBMS for real-time computations and queriesCloud 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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument store
Key-value store
Relational DBMS infoa hierachical model (tree) can be imposedDocument storeKey-value storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybigobject.iofirebase.google.com/­products/­firestoregithub.com/­google/­leveldbgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.bigobject.iofirebase.google.com/­docs/­firestoregithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdydb.tech/­en/­docs
DeveloperAtos Convergence CreatorsBigObject, Inc.GoogleGoogleYandex
Initial release20162015201720112019
Current release17031.23, February 2021
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoBSDOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedIllumos
Linux
OS X
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateoptionalyesyesnoyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonoSQL-like query language (YQL)
APIs and other access methodsLDAPfluentd
ODBC
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoLuayes, Firebase Rules & Cloud Functionsnono
Triggersyesnoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replicationnoneActive-passive shard replication
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 configurationnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
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 authenticationnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.noAccess rights defined for Yandex Cloud users

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More resources
Atos Standard Common RepositoryBigObjectGoogle Cloud FirestoreLevelDBYDB
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