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DBMS > ArcadeDB vs. Atos Standard Common Repository vs. Databricks vs. OushuDB vs. RDF4J

System Properties Comparison ArcadeDB vs. Atos Standard Common Repository vs. Databricks vs. OushuDB vs. RDF4J

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonOushuDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenHighly 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 data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document store
Key-value store
Document store
Relational DBMS
Relational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitearcadedb.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comwww.oushu.com/­product/­oushuDBrdf4j.org
Technical documentationdocs.arcadedb.comdocs.databricks.comwww.oushu.com/­documentationrdf4j.org/­documentation
DeveloperArcade DataAtos Convergence CreatorsDatabricksOushuSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2021201620132004
Current releaseSeptember 202117034.0.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsAll OS with a Java VMLinuxhostedLinuxLinux
OS X
Unix
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query language, no joinsnowith Databricks SQLFull-featured ANSI SQL supportno
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
LDAPJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJavaAll languages with LDAP bindingsPython
R
Scala
C
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesyes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesno
User concepts infoAccess controlLDAP bind authenticationKerberos, SSL and role based accessno
More information provided by the system vendor
ArcadeDBAtos Standard Common RepositoryDatabricksOushuDBRDF4J infoformerly known as Sesame
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
ArcadeDBAtos Standard Common RepositoryDatabricksOushuDBRDF4J infoformerly known as Sesame
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