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DBMS > Atos Standard Common Repository vs. Brytlyt vs. GigaSpaces vs. Google Cloud Firestore vs. Prometheus

System Properties Comparison Atos Standard Common Repository vs. Brytlyt vs. GigaSpaces vs. Google Cloud Firestore vs. Prometheus

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBrytlyt  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonPrometheus  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 networksScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsCloud 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.Open-source Time Series DBMS and monitoring system
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document storeTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybrytlyt.iowww.gigaspaces.comfirebase.google.com/­products/­firestoreprometheus.io
Technical documentationdocs.brytlyt.iodocs.gigaspaces.com/­latest/­landing.htmlfirebase.google.com/­docs/­firestoreprometheus.io/­docs
DeveloperAtos Convergence CreatorsBrytlytGigaspaces TechnologiesGoogle
Initial release20162016200020172015
Current release17035.0, August 202315.5, September 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAJava, C++, .NetGo
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS
Solaris
Windows
hostedLinux
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesyesNumeric data only
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.yesyes infospecific XML-type available, but no XML query functionality.no infoXML can be used for describing objects metadatanono infoImport of XML data possible
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyesSQL-99 for query and DML statementsnono
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C++
Java
Python
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyesyes, Firebase Rules & Cloud Functionsno
Triggersyesyesyes, event driven architectureyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistencynone
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesno
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no

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More resources
Atos Standard Common RepositoryBrytlytGigaSpacesGoogle Cloud FirestorePrometheus
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