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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonKinetica  Xexclude from comparisonRethinkDB  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 networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFully vectorized database across both GPUs and CPUsDBMS for the Web with a mechanism to push updated query results to applications in realtime.Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store
Key-value store
Document storeRelational DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score2.84
Rank#106  Overall
#19  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.kinetica.comrethinkdb.comsqrrl.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.kinetica.comrethinkdb.com/­docs
DeveloperAtos Convergence CreatorsKineticaThe Linux Foundation infosince July 2017Amazon infooriginally Sqrrl Data, Inc.
Initial release20162016201220092012
Current release17037.1, August 20212.4.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC, C++C++Java
Server operating systemsLinuxLinuxLinuxLinux
OS X
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalnoyesyes infostring, binary, float, bool, date, geometryyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsnono
APIs and other access methodsLDAPCLI 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 bindingsGo
Haskell
Java
JavaScript
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding inforange basedSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoAtomic single-document operationsAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes
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.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlLDAP bind authenticationyesAccess rights for users and roles on table levelyes infousers and table-level permissionsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Atos Standard Common RepositoryBigchainDBKineticaRethinkDBSqrrl
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