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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Brytlyt vs. Ingres vs. Splice Machine

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonIngres  Xexclude from comparisonSplice Machine  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 RDBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Key-value store
Document storeRelational DBMSRelational DBMSRelational 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
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.combrytlyt.iowww.actian.com/­databases/­ingressplicemachine.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.brytlyt.iodocs.actian.com/­ingressplicemachine.com/­how-it-works
DeveloperAtos Convergence CreatorsBrytlytActian CorporationSplice Machine
Initial release2016201620161974 infooriginally developed at University Berkely in early 1970s2014
Current release17035.0, August 202311.2, May 20223.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialcommercialOpen Source infoAGPL 3.0, commercial license available
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 CUDACJava
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 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
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyesyes infoJava
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationIngres ReplicatorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
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 operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes, multi-version concurrency control (MVCC)
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-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Atos Standard Common RepositoryBigchainDBBrytlytIngresSplice Machine
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