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DBMS > Atos Standard Common Repository vs. BigObject vs. Google Cloud Firestore vs. JSqlDb vs. Teradata

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. Google Cloud Firestore vs. JSqlDb vs. Teradata

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigObject  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonJSqlDb  Xexclude from comparisonTeradata  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.JSqlDB seems to be discontinued. Therefore it is excluded 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.JavaScript Query Language Database, stores JavaScript objects and primitivesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Key-value store
Relational DBMS infoa hierachical model (tree) can be imposedDocument storeDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybigobject.iofirebase.google.com/­products/­firestorejsqldb.org (offline)www.teradata.com
Technical documentationdocs.bigobject.iofirebase.google.com/­docs/­firestoredocs.teradata.com
DeveloperAtos Convergence CreatorsBigObject, Inc.GoogleKonrad von BackstromTeradata
Initial release20162015201720181984
Current release17030.8, December 2018Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedLinux
macOS
Windows
hosted
Linux
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-freeyes
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.yesnononoyes
Secondary indexesyesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonoyes infoSQL 2016 + extensions
APIs and other access methodsLDAPfluentd
ODBC
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScriptC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoLuayes, Firebase Rules & Cloud Functionsfunctions in JavaScriptyes infoUDFs, stored procedures, table functions in parallel
Triggersyesnoyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replicationnoneMulti-source replication
Source-replica 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 Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDByes
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 authenticationnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryBigObjectGoogle Cloud FirestoreJSqlDbTeradata
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