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DBMS > Atos Standard Common Repository vs. BigchainDB vs. LMDB vs. Riak KV vs. Snowflake

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. LMDB vs. Riak KV vs. Snowflake

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonLMDB  Xexclude from comparisonRiak KV  Xexclude from comparisonSnowflake  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 assetsA high performant, light-weight, embedded key-value database libraryDistributed, fault tolerant key-value storeCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Key-value store
Document storeKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#193  Overall
#30  Document stores
Score2.61
Rank#106  Overall
#20  Key-value stores
Score5.88
Rank#63  Overall
#8  Key-value stores
Score58.26
Rank#18  Overall
#12  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.symas.com/­symas-embedded-database-lmdbriak.com/­products/­riak-kvwww.snowflake.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.snowflake.net/­manuals/­index.html
DeveloperAtos Convergence CreatorsSymasBasho TechnologiesSnowflake Computing Inc.
Initial release20162016201120092014
Current release17030.9.29, March 20212.1.0, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open SourceOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonCErlang
Server operating systemsLinuxLinuxLinux
OS X
hosted
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateoptionalnonoyes
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.yesnononoyes
Secondary indexesyesnorestricted
SQL infoSupport of SQLnonononoyes
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
HTTP API
Native Erlang Interface
CLI Client
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
CC 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
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoJavaScript and Erlanguser defined functions
Triggersyesnoyes infopre-commit hooks and post-commit hooksno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneSharding infono "single point of failure"yes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornoneselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID
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.yesyesno
User concepts infoAccess controlLDAP bind authenticationyesnonoUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Atos Standard Common RepositoryBigchainDBLMDBRiak KVSnowflake
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