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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Faircom EDGE vs. RisingWave vs. SpaceTime

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Faircom EDGE vs. RisingWave vs. SpaceTime

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonRisingWave  Xexclude from comparisonSpaceTime  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 assetsFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelDocument store
Key-value store
Document storeKey-value store
Relational DBMS
Relational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.faircom.com/­products/­faircom-edgewww.risingwave.com/­databasewww.mireo.com/­spacetime
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.risingwave.com/­docs/­current/­intro
DeveloperAtos Convergence CreatorsFairCom CorporationRisingWave LabsMireo
Initial release20162016197920222020
Current release1703V3, October 20201.2, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercial infoRestricted, free version availableOpen Source infoApache Version 2.0commercial
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 languageJavaPythonANSI C, C++RustC++
Server operating systemsLinuxLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
Docker
Linux
macOS
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateoptionalnoyes, ANSI Standard SQL TypesStandard SQL-types and JSONyes
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.yesnoyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnonoyes infoANSI SQL queriesyesA subset of ANSI SQL is implemented
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
PostgreSQL wire protocol
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Go
Java
JavaScript (Node.js)
Python
C#
C++
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++UDFs in Python or Javano
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingFile partitioning infoCustomizable business rules for partitioningFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes infoSynchronous and asynchronous realtime replication based on transaction logsReal-time block device replication (DRBD)
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 Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes
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 user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Users and Rolesyes

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More resources
Atos Standard Common RepositoryBigchainDBFaircom EDGE infoformerly c-treeEDGERisingWaveSpaceTime
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