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DBMS > Atos Standard Common Repository vs. DuckDB vs. Faircom DB vs. TerarkDB vs. Valentina Server

System Properties Comparison Atos Standard Common Repository vs. DuckDB vs. Faircom DB vs. TerarkDB vs. Valentina Server

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDuckDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonTerarkDB  Xexclude from comparisonValentina Server  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 networksAn embeddable, in-process, column-oriented SQL OLAP RDBMSNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBObject-relational database and reports server
Primary database modelDocument store
Key-value store
Relational DBMSKey-value store
Relational DBMS
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryduckdb.orgwww.faircom.com/­products/­faircom-dbgithub.com/­bytedance/­terarkdbwww.valentina-db.net
Technical documentationduckdb.org/­docsdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAtos Convergence CreatorsFairCom CorporationByteDance, originally TerarkParadigma Software
Initial release20162018197920161999
Current release17031.0.0, June 2024V12, November 20205.7.5
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercial infoRestricted, free version availablecommercial inforestricted open source 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 languageJavaC++ANSI C, C++C++
Server operating systemsLinuxserver-lessAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema free, schema optional, schema required, partial schema,schema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyes, ANSI SQL Types, JSON, typed binary structuresnoyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLnoyesyes, ANSI SQL with proprietary extensionsnoyes
APIs and other access methodsLDAPArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
C++ API
Java API
ODBC
Supported programming languagesAll languages with LDAP bindingsC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C++
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++noyes
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnone
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).none
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 ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Foreign keys infoReferential integritynonoyesnoyes
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 datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes
User concepts infoAccess controlLDAP bind authenticationnoFine grained access rights according to SQL-standard with additional protections for filesnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryDuckDBFaircom DB infoformerly c-treeACETerarkDBValentina Server
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