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DBMS > Atos Standard Common Repository vs. Databricks vs. Qdrant vs. RDF4J

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Qdrant vs. RDF4J

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonQdrant  Xexclude from comparisonRDF4J infoformerly known as Sesame  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 networksThe 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 high-performance vector database with neural network or semantic-based matchingRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Vector DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comgithub.com/­qdrant/­qdrant
qdrant.tech
rdf4j.org
Technical documentationdocs.databricks.comqdrant.tech/­documentationrdf4j.org/­documentation
DeveloperAtos Convergence CreatorsDatabricksQdrantSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2016201320212004
Current release1703
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustJava
Server operating systemsLinuxhostedDocker
Linux
macOS
Windows
Linux
OS X
Unix
Windows
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateoptionalNumbers, Strings, Geo, Booleanyes
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 indexesyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnowith Databricks SQLnono
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesCollection-level replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlLDAP bind authenticationKey-based authenticationno
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksQdrantRDF4J infoformerly known as Sesame
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Atos Standard Common RepositoryDatabricksQdrantRDF4J infoformerly known as Sesame
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