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DBMS > Atos Standard Common Repository vs. BigchainDB vs. H2 vs. RRDtool vs. Sequoiadb

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. H2 vs. RRDtool vs. Sequoiadb

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonH2  Xexclude from comparisonRRDtool  Xexclude from comparisonSequoiadb  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 assetsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.NewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Key-value store
Document storeRelational DBMSTime Series DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.h2database.comoss.oetiker.ch/­rrdtoolwww.sequoiadb.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.h2database.com/­html/­main.htmloss.oetiker.ch/­rrdtool/­docwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperAtos Convergence CreatorsThomas MuellerTobias OetikerSequoiadb Ltd.
Initial release20162016200519992013
Current release17032.2.220, July 20231.8.0, 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL V2 and FLOSSOpen Source infoServer: AGPL; Client: Apache V2
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 languageJavaPythonJavaC infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemsLinuxLinuxAll OS with a Java VMHP-UX
Linux
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateoptionalnoyesNumeric data onlyyes infooid, date, timestamp, binary, regex
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 infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnonoyesnoSQL-like query language
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
JDBC
ODBC
in-process shared library
Pipes
proprietary protocol using JSON
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
JavaC infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined FunctionsnoJavaScript
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorWith clustering: 2 database servers on different computers operate on identical copies of a databasenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infoby using the rrdcached daemonyes
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.yesyesyesno
User concepts infoAccess controlLDAP bind authenticationyesfine grained access rights according to SQL-standardnosimple password-based access control

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More resources
Atos Standard Common RepositoryBigchainDBH2RRDtoolSequoiadb
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