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DBMS > Atos Standard Common Repository vs. BigObject vs. Faircom DB vs. JanusGraph

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. Faircom DB vs. JanusGraph

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigObject  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonJanusGraph infosuccessor of Titan  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 networksAnalytic DBMS for real-time computations and queriesNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelDocument store
Key-value store
Relational DBMS infoa hierachical model (tree) can be imposedKey-value store
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybigobject.iowww.faircom.com/­products/­faircom-dbjanusgraph.org
Technical documentationdocs.bigobject.iodocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.janusgraph.org
DeveloperAtos Convergence CreatorsBigObject, Inc.FairCom CorporationLinux Foundation; originally developed as Titan by Aurelius
Initial release2016201519792017
Current release1703V12, November 20200.6.3, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercial infoRestricted, free version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++Java
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Unix
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateoptionalyesyes, 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.yesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes, ANSI SQL with proprietary extensionsno
APIs and other access methodsLDAPfluentd
ODBC
RESTful HTTP API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Clojure
Java
Python
Server-side scripts infoStored proceduresnoLuayes info.Net, JavaScript, C/C++yes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnotunable from ACID to Eventually ConsistentACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
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 authenticationnoFine grained access rights according to SQL-standard with additional protections for filesUser authentification and security via Rexster Graph Server

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More resources
Atos Standard Common RepositoryBigObjectFaircom DB infoformerly c-treeACEJanusGraph infosuccessor of Titan
Recent citations in the news

FairCom kicks off new era of database technology USA - English
10 November 2020, PR Newswire

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12 October 2020, Towards Data Science

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