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DBMS > DuckDB vs. EsgynDB vs. RDF4J vs. Warp 10

System Properties Comparison DuckDB vs. EsgynDB vs. RDF4J vs. Warp 10

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSRDF storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteduckdb.orgwww.esgyn.cnrdf4j.orgwww.warp10.io
Technical documentationduckdb.org/­docsrdf4j.org/­documentationwww.warp10.io/­content/­02_Getting_started
DeveloperEsgynSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SenX
Initial release2018201520042015
Current release0.10, February 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaJavaJava
Server operating systemsserver-lessLinuxLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLyesyesnono
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Jupyter
WebSocket
Supported programming languagesC
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
All languages supporting JDBC/ODBC/ADO.NetJava
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesyes infoWarpScript
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
DuckDBEsgynDBRDF4J infoformerly known as SesameWarp 10
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