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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Brytlyt vs. Ingres vs. Kdb

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Brytlyt vs. Ingres vs. Kdb

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonIngres  Xexclude from comparisonKdb  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 networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLWell established RDBMSHigh performance Time Series DBMS
Primary database modelDocument store
Key-value store
Document storeRelational DBMSRelational DBMSTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.combrytlyt.iowww.actian.com/­databases/­ingreskx.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.brytlyt.iodocs.actian.com/­ingrescode.kx.com
DeveloperAtos Convergence CreatorsBrytlytActian CorporationKx Systems, a division of First Derivatives plc
Initial release2016201620161974 infooriginally developed at University Berkely in early 1970s2000 infokdb was released 2000, kdb+ in 2003
Current release17035.0, August 202311.2, May 20223.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialcommercialcommercial infofree 32-bit version
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 languageJavaPythonC, C++ and CUDACq
Server operating systemsLinuxLinuxLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesyes
Typing infopredefined data types such as float or dateoptionalnoyesyesyes
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.yesnoyes infospecific XML-type available, but no XML query functionality.no infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesyesyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLnonoyesyesSQL-like query language (q)
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyesuser defined functions
Triggersyesyesyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationIngres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlLDAP bind authenticationyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardrights management via user accounts
More information provided by the system vendor
Atos Standard Common RepositoryBigchainDBBrytlytIngresKdb
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...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
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...
» more
Licensing and pricing modelsupon request
» more

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Atos Standard Common RepositoryBigchainDBBrytlytIngresKdb
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