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DBMS > Databend vs. EXASOL vs. jBASE vs. RDF4J

System Properties Comparison Databend vs. EXASOL vs. jBASE vs. RDF4J

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonEXASOL  Xexclude from comparisonjBASE  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A robust multi-value DBMS comprising development tools and middlewareRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Score0.72
Rank#222  Overall
#9  RDF stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.exasol.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaserdf4j.org
Technical documentationdocs.databend.comwww.exasol.com/­resourcesdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9rdf4j.org/­documentation
DeveloperDatabend LabsExasolRocket Software (formerly Zumasys)Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2021200019912004
Current release1.0.59, April 20235.7
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJava
Server operating systemshosted
Linux
macOS
AIX
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesoptionalyes
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.nonoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyesEmbedded SQL for jBASE in BASICno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Java
Lua
Python
R
.Net
Basic
Jabbascript
Java
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsyesyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID 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.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles according to SQL-standardAccess rights can be defined down to the item levelno

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DatabendEXASOLjBASERDF4J infoformerly known as Sesame
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