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DBMS > Atos Standard Common Repository vs. Bangdb vs. BigchainDB vs. Kinetica vs. Sqrrl

System Properties Comparison Atos Standard Common Repository vs. Bangdb vs. BigchainDB vs. Kinetica vs. Sqrrl

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBangdb  Xexclude from comparisonBigchainDB  Xexclude from comparisonKinetica  Xexclude from comparisonSqrrl  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksConverged and high performance database for device data, events, time series, document and graphBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFully vectorized database across both GPUs and CPUsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Time Series DBMS
Document storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybangdb.comwww.bigchaindb.comwww.kinetica.comsqrrl.com
Technical documentationdocs.bangdb.combigchaindb.readthedocs.io/­en/­latestdocs.kinetica.com
DeveloperAtos Convergence CreatorsSachin Sinha, BangDBKineticaAmazon infooriginally Sqrrl Data, Inc.
Initial release20162012201620122012
Current release1703BangDB 2.0, October 20217.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoAGPL v3commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++PythonC, C++Java
Server operating systemsLinuxLinuxLinuxLinuxLinux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalyes: string, long, double, int, geospatial, stream, eventsnoyesyes
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.yesnonono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLnoSQL like support with command line toolnoSQL-like DML and DDL statementsno
APIs and other access methodsLDAPProprietary protocol
RESTful HTTP API
CLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersyesyes, Notifications (with Streaming only)yes 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 divisionSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factorSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeyes infoGPU vRAM or System RAM
User concepts infoAccess controlLDAP bind authenticationyes (enterprise version only)yesAccess rights for users and roles on table levelCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Atos Standard Common RepositoryBangdbBigchainDBKineticaSqrrl
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