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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonDolt  Xexclude from comparisonIngres  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 PostgreSQLA MySQL compatible DBMS with Git-like versioning of data and schemaWell established RDBMS
Primary database modelDocument store
Key-value store
Document storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
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
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.combrytlyt.iogithub.com/­dolthub/­dolt
www.dolthub.com
www.actian.com/­databases/­ingres
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.brytlyt.iodocs.dolthub.comdocs.actian.com/­ingres
DeveloperAtos Convergence CreatorsBrytlytDoltHub IncActian Corporation
Initial release20162016201620181974 infooriginally developed at University Berkely in early 1970s
Current release17035.0, August 202311.2, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen Source infoApache Version 2.0commercial
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 CUDAGoC
Server operating systemsLinuxLinuxLinux
OS X
Windows
Linux
macOS
Windows
AIX
HP Open VMS
HP-UX
Linux
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.nono infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyesyesyes
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
HTTP REST
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyes infocurrently in alpha releaseyes
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnonehorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Ingres Replicator
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 Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC
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.yesno
User concepts infoAccess controlLDAP bind authenticationyesfine grained access rights according to SQL-standardOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryBigchainDBBrytlytDoltIngres
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