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DBMS > Apache Cassandra vs. DuckDB vs. RDF4J vs. Yanza

System Properties Comparison Apache Cassandra vs. DuckDB vs. RDF4J vs. Yanza

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonDuckDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessAn embeddable, in-process, column-oriented SQL OLAP RDBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Time Series DBMS for IoT Applications
Primary database modelWide column storeRelational DBMSRDF storeTime Series DBMS
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score108.05
Rank#11  Overall
#1  Wide column stores
Score7.44
Rank#44  Overall
#27  Relational DBMS
Score0.68
Rank#223  Overall
#9  RDF stores
Websitecassandra.apache.orgduckdb.orgrdf4j.orgyanza.com
Technical documentationcassandra.apache.org/­doc/­latestduckdb.org/­docsrdf4j.org/­documentation
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Yanza
Initial release2008201820042015
Current release5.0-rc1, July 20241.0.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoMIT LicenseOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsBSD
Linux
OS X
Windows
server-lessLinux
OS X
Unix
Windows
Windows
Data schemeschema-freeyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyesno
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)yesnono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Java
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonoyesno
Triggersyesnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"nonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possiblenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users can be defined per objectnonono
More information provided by the system vendor
Apache CassandraDuckDBRDF4J infoformerly known as SesameYanza
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