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DBMS > Atos Standard Common Repository vs. EJDB vs. Faircom EDGE vs. Splice Machine vs. SQLite

System Properties Comparison Atos Standard Common Repository vs. EJDB vs. Faircom EDGE vs. Splice Machine vs. SQLite

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEJDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQLite  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 networksEmbeddable document-store database library with JSON representation of queries (in MongoDB style)FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkWidely used embeddable, in-process RDBMS
Primary database modelDocument store
Key-value store
Document storeKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#314  Overall
#41  Document stores
Score0.13
Rank#304  Overall
#44  Key-value stores
#139  Relational DBMS
Score0.80
Rank#193  Overall
#91  Relational DBMS
Score134.73
Rank#10  Overall
#7  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryejdb.orgwww.faircom.com/­products/­faircomedge-iot-databasesplicemachine.comwww.sqlite.org
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdlearn.faircomcorp.com/­developers/­documentation_directorydoc.splicemachine.comwww.sqlite.org/­docs.html
DeveloperAtos Convergence CreatorsSoftmotionsFairCom CorporationSplice MachineDwayne Richard Hipp
Initial release20162012197920142000
Current release1703V3, October 20203.1, March 20213.38.4  (4 May 2022), May 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercial infoRestricted, free version availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoPublic Domain
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 languageJavaCANSI C, C++JavaC
Server operating systemsLinuxserver-lessAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Solaris
Windows
server-less
Data schemeSchema and schema-less with LDAP viewsschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes infodynamic column types
Typing infopredefined data types such as float or dateoptionalyes infostring, integer, double, bool, date, object_idyes, ANSI Standard SQL Typesyesyes infonot rigid because of 'dynamic typing' concept.
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.yesyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnonoyes infoANSI SQL queriesyesyes infoSQL-92 is not fully supported
APIs and other access methodsLDAPin-process shared libraryADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesAll languages with LDAP bindingsActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++yes infoJavano
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneFile partitioning infoCustomizable business rules for partitioningShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
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 integritynono infotypically not needed, however similar functionality with collection joins possibleyes infowhen using SQLyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes infoacross SQL and NoSQLyes, multi-version concurrency control (MVCC)yes infovia file-system locks
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlLDAP bind authenticationnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
Atos Standard Common RepositoryEJDBFaircom EDGE infoformerly c-treeEDGESplice MachineSQLite
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More resources
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