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DBMS > Atos Standard Common Repository vs. Google Cloud Firestore vs. Kdb vs. Microsoft Azure Synapse Analytics

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Firestore vs. Kdb vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 networksCloud 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.High performance Time Series DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Key-value store
Document storeTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryfirebase.google.com/­products/­firestorekx.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationfirebase.google.com/­docs/­firestorecode.kx.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperAtos Convergence CreatorsGoogleKx Systems, a division of First Derivatives plcMicrosoft
Initial release201620172000 infokdb was released 2000, kdb+ in 20032016
Current release17033.6, May 2018
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaqC++
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
hosted
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesnoyesno
Secondary indexesyesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnonoSQL-like query language (q)yes
APIs and other access methodsLDAPAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsuser defined functionsTransact SQL
Triggersyesyes, with Cloud Functionsyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardinghorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.rights management via user accountsyes
More information provided by the system vendor
Atos Standard Common RepositoryGoogle Cloud FirestoreKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
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Licensing and pricing modelsupon request
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More resources
Atos Standard Common RepositoryGoogle Cloud FirestoreKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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