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DBMS > Atos Standard Common Repository vs. BigObject vs. Microsoft SQL Server vs. Qdrant

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. Microsoft SQL Server vs. Qdrant

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigObject  Xexclude from comparisonMicrosoft SQL Server  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 networksAnalytic DBMS for real-time computations and queriesMicrosofts flagship relational DBMSA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument store
Key-value store
Relational DBMS infoa hierachical model (tree) can be imposedRelational DBMSVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybigobject.iowww.microsoft.com/­en-us/­sql-servergithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.bigobject.iolearn.microsoft.com/­en-US/­sql/­sql-serverqdrant.tech/­documentation
DeveloperAtos Convergence CreatorsBigObject, Inc.MicrosoftQdrant
Initial release2016201519892021
Current release1703SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercial inforestricted free version is 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.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaC++Rust
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Windows
Docker
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesschema-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.yesnoyesno
Secondary indexesyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesno
APIs and other access methodsLDAPfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesAll languages with LDAP bindingsC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoLuaTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes, but depending on the SQL-Server EditionCollection-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 configurationnoneImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyesyes
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 access rights according to SQL-standardKey-based authentication

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More resources
Atos Standard Common RepositoryBigObjectMicrosoft SQL ServerQdrant
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