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DBMS > Atos Standard Common Repository vs. Brytlyt vs. InterSystems IRIS vs. Kinetica vs. QuestDB

System Properties Comparison Atos Standard Common Repository vs. Brytlyt vs. InterSystems IRIS vs. Kinetica vs. QuestDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBrytlyt  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKinetica  Xexclude from comparisonQuestDB  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 PostgreSQLA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityFully vectorized database across both GPUs and CPUsA high performance open source SQL database for time series data
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score2.98
Rank#91  Overall
#17  Document stores
#14  Key-value stores
#1  Object oriented DBMS
#49  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybrytlyt.iowww.intersystems.com/­products/­intersystems-iriswww.kinetica.comquestdb.io
Technical documentationdocs.brytlyt.iodocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.kinetica.comquestdb.io/­docs
DeveloperAtos Convergence CreatorsBrytlytInterSystemsKineticaQuestDB Technology Inc
Initial release20162016201820122014
Current release17035.0, August 20232023.3, June 20237.1, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAC, C++Java (Zero-GC), C++, Rust
Server operating systemsLinuxLinux
OS X
Windows
AIX
Linux
macOS
Ubuntu
Windows
LinuxLinux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsyesdepending on used data modelyesyes infoschema-free via InfluxDB Line Protocol
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.yesyes infospecific XML-type available, but no XML query functionality.yesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyesyesSQL-like DML and DDL statementsSQL with time-series extensions
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyesuser defined functionsno
Triggersyesyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDnoACID for single-table writes
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.yesyesyes infoGPU vRAM or System RAMyes infothrough memory mapped files
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardyesAccess rights for users and roles on table level
More information provided by the system vendor
Atos Standard Common RepositoryBrytlytInterSystems IRISKineticaQuestDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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