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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Kinetica vs. Riak TS vs. Sqrrl

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonKinetica  Xexclude from comparisonRiak TS  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 CPUsRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store
Key-value store
Document storeRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.kinetica.comsqrrl.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.kinetica.comwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAtos Convergence CreatorsKineticaOpen Source, formerly Basho TechnologiesAmazon infooriginally Sqrrl Data, Inc.
Initial release20162016201220152012
Current release17037.1, August 20213.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC, C++ErlangJava
Server operating systemsLinuxLinuxLinuxLinux
OS X
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalnoyesnoyes
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 indexesyesyesrestrictedyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes, limitedno
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
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 infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
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 functionsErlangno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationselectable replication factorselectable 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 configurationEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesno infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 RAM
User concepts infoAccess controlLDAP bind authenticationyesAccess rights for users and roles on table levelnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Atos Standard Common RepositoryBigchainDBKineticaRiak TSSqrrl
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