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DBMS > Atos Standard Common Repository vs. BigObject vs. Google Cloud Firestore vs. Linter vs. TDengine

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. Google Cloud Firestore vs. Linter vs. TDengine

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigObject  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonLinter  Xexclude from comparisonTDengine  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.RDBMS for high security requirementsTime Series DBMS and big data platform
Primary database modelDocument store
Key-value store
Relational DBMS infoa hierachical model (tree) can be imposedDocument storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational 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
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybigobject.iofirebase.google.com/­products/­firestorelinter.rugithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.bigobject.iofirebase.google.com/­docs/­firestoredocs.tdengine.com
DeveloperAtos Convergence CreatorsBigObject, Inc.Googlerelex.ruTDEngine, previously Taos Data
Initial release20162015201719902019
Current release17033.0, August 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialcommercialOpen Source infoAGPL V3, also commercial editions 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 and C++C
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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 indexesyesyesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyesStandard SQL with extensions for time-series applications
APIs and other access methodsLDAPfluentd
ODBC
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoLuayes, Firebase Rules & Cloud Functionsyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersyesnoyes, with Cloud Functionsyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowno
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 tablesnoyesno
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)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
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-standardyes
More information provided by the system vendor
Atos Standard Common RepositoryBigObjectGoogle Cloud FirestoreLinterTDengine
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Atos Standard Common RepositoryBigObjectGoogle Cloud FirestoreLinterTDengine
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