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DBMS > Atos Standard Common Repository vs. atoti vs. Databricks vs. MonetDB vs. Qdrant

System Properties Comparison Atos Standard Common Repository vs. atoti vs. Databricks vs. MonetDB vs. Qdrant

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonatoti  Xexclude from comparisonDatabricks  Xexclude from comparisonMonetDB  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 networksAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument store
Key-value store
Object oriented DBMSDocument store
Relational DBMS
Relational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryatoti.iowww.databricks.comwww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.atoti.iodocs.databricks.comwww.monetdb.org/­Documentationqdrant.tech/­documentation
DeveloperAtos Convergence CreatorsActiveViamDatabricksMonetDB BVQdrant
Initial release2016201320042021
Current release1703Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercialcommercial infofree versions availablecommercialOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaCRust
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateoptionalyesNumbers, 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.yesyesno
Secondary indexesyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)with Databricks SQLyes infoSQL 2003 with some extensionsno
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoPythonuser defined functions and aggregatesyes, in SQL, C, R
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding, horizontal partitioningSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone infoSource-replica replication available in experimental statusCollection-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 Consistency, tunable consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardKey-based authentication
More information provided by the system vendor
Atos Standard Common RepositoryatotiDatabricksMonetDBQdrant
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Atos Standard Common RepositoryatotiDatabricksMonetDBQdrant
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