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DBMS > Atos Standard Common Repository vs. BigchainDB vs. EXASOL vs. Faircom DB vs. FileMaker

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. EXASOL vs. Faircom DB vs. FileMaker

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonEXASOL  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonFileMaker  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 assetsHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.FileMaker is a cross-platform RDBMS that includes a GUI frontend.
Primary database modelDocument store
Key-value store
Document storeRelational DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#216  Overall
#36  Document stores
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score0.18
Rank#314  Overall
#45  Key-value stores
#141  Relational DBMS
Score45.20
Rank#20  Overall
#14  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.exasol.comwww.faircom.com/­products/­faircom-dbwww.claris.com/­filemaker
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.exasol.com/­resourcesdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.claris.com/­resources/­documentation
DeveloperAtos Convergence CreatorsExasolFairCom CorporationClaris infoa subsidiary of Apple
Initial release20162016200019791983
Current release1703V13, July 202419.4.1, November 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialcommercial infoRestricted, free version availablecommercial
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++
Server operating systemsLinuxLinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
iOS infoclient part only
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateoptionalnoyesyes, ANSI SQL Types, JSON, typed binary structuresyes
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 infoA http query request can return the data in XML format
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyesyes, ANSI SQL with proprietary extensionsyes infovia plugins
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Filemaker WebDirect
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
Java
Lua
Python
R
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
PHP
Server-side scripts infoStored proceduresnouser defined functionsyes info.Net, JavaScript, C/C++yes
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Source-replica replication, warm standby infosince Version 14
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDtunable from ACID to Eventually Consistentno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlLDAP bind authenticationyesAccess rights for users, groups and roles according to SQL-standardFine grained access rights according to SQL-standard with additional protections for filessimple rights management via user accounts and connection to external directory services

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More resources
Atos Standard Common RepositoryBigchainDBEXASOLFaircom DB infoformerly c-treeACEFileMaker
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