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DBMS > Atos Standard Common Repository vs. DataFS vs. IBM Db2 Event Store vs. Qdrant

System Properties Comparison Atos Standard Common Repository vs. DataFS vs. IBM Db2 Event Store vs. Qdrant

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDataFS  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonQdrant  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 networksAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Distributed Event Store optimized for Internet of Things use casesA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument store
Key-value store
Object oriented DBMSEvent Store
Time Series DBMS
Vector DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.28
Rank#167  Overall
#8  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorynewdatabase.comwww.ibm.com/­products/­db2-event-storegithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdev.mobiland.com/­Overview.xspwww.ibm.com/­docs/­en/­db2-event-storeqdrant.tech/­documentation
DeveloperAtos Convergence CreatorsMobiland AGIBMQdrant
Initial release2016201820172021
Current release17031.1.263, October 20222.0
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++Rust
Server operating systemsLinuxWindowsLinux infoLinux, macOS, Windows for the developer additionDocker
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesNumbers, Strings, Geo, Boolean
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 indexesyesnonoyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeno
APIs and other access methodsLDAP.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
VB.Net
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoyes
Triggersyesno, except callback-events from server when changes happenedno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionProprietary Sharding systemShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlLDAP bind authenticationWindows-Profilefine grained access rights according to SQL-standardKey-based authentication

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More resources
Atos Standard Common RepositoryDataFSIBM Db2 Event StoreQdrant
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