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DBMS > Atos Standard Common Repository vs. Citus vs. IBM Db2 Event Store vs. Microsoft Access vs. Qdrant

System Properties Comparison Atos Standard Common Repository vs. Citus vs. IBM Db2 Event Store vs. Microsoft Access vs. Qdrant

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCitus  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Access  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 networksScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDistributed Event Store optimized for Internet of Things use casesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A high-performance vector database with neural network or semantic-based matching
Primary database modelDocument store
Key-value store
Relational DBMSEvent Store
Time Series DBMS
Relational DBMSVector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.citusdata.comwww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.citusdata.comwww.ibm.com/­docs/­en/­db2-event-storedeveloper.microsoft.com/­en-us/­accessqdrant.tech/­documentation
DeveloperAtos Convergence CreatorsIBMMicrosoftQdrant
Initial release20162010201719922021
Current release17038.1, December 20182.01902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availablecommercial infofree developer edition availablecommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0
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 languageJavaCC and C++C++Rust
Server operating systemsLinuxLinuxLinux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLsDocker
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyesNumbers, 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.yesyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyesnoyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsyes infothrough the embedded Spark runtimeyes infobut not compliant to any SQL standardno
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesyes infosince Access 2010 using the ACE-engine
Triggersyesyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsActive-active shard replicationnoneCollection-level replication
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 ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infobut no files for transaction loggingyes
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 authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003Key-based authentication

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More resources
Atos Standard Common RepositoryCitusIBM Db2 Event StoreMicrosoft AccessQdrant
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