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DBMS > Atos Standard Common Repository vs. Dragonfly vs. SWC-DB vs. TDSQL for MySQL vs. TimescaleDB

System Properties Comparison Atos Standard Common Repository vs. Dragonfly vs. SWC-DB vs. TDSQL for MySQL vs. TimescaleDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDragonfly  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTimescaleDB  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 networksA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA high performance, scalable Wide Column DBMSA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Key-value store
Key-value storeWide column storeRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­kashirin-alex/­swc-db
www.swcdb.org
www.tencentcloud.com/­products/­dcdbwww.timescale.com
Technical documentationwww.dragonflydb.io/­docswww.tencentcloud.com/­document/­product/­1042docs.timescale.com
DeveloperAtos Convergence CreatorsDragonflyDB team and community contributorsAlex KashirinTencentTimescale
Initial release20162023202020132017
Current release17031.0, March 20230.5, April 20212.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1Open Source infoGPL V3commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C
Server operating systemsLinuxLinuxLinuxhostedLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsscheme-freeschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalstrings, hashes, lists, sets, sorted sets, bit arraysyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoSQL-like query languageyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsLDAPProprietary protocol infoRESP - REdis Serialization ProtocolProprietary protocol
Thrift
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C++C
C#
C++
Java
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoLuanoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyespublish/subscribe channels provide some trigger functionalitynoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingAutomatic shardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas info
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 configurationEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic execution of command blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyesyes
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.yesyesnonono
User concepts infoAccess controlLDAP bind authenticationPassword-based authenticationUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryDragonflySWC-DB infoSuper Wide Column DatabaseTDSQL for MySQLTimescaleDB
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