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DBMS > Databricks vs. LevelDB vs. RDF4J vs. RDFox vs. Sequoiadb

System Properties Comparison Databricks vs. LevelDB vs. RDF4J vs. RDFox vs. Sequoiadb

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRDFox  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionThe 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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.High performance knowledge graph and semantic reasoning engineNewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Relational DBMS
Key-value storeRDF storeGraph DBMS
RDF store
Document store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitewww.databricks.comgithub.com/­google/­leveldbrdf4j.orgwww.oxfordsemantic.techwww.sequoiadb.com
Technical documentationdocs.databricks.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentationdocs.oxfordsemantic.techwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDatabricksGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Oxford Semantic TechnologiesSequoiadb Ltd.
Initial release20132011200420172013
Current release1.23, February 20216.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C++
Server operating systemshostedIllumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
macOS
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoRDF Schemasyes infoRDF schemasschema-free
Typing infopredefined data types such as float or datenoyesyesyes infooid, date, timestamp, binary, regex
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.yesnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLwith Databricks SQLnononoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
RESTful HTTP API
SPARQL 1.1
proprietary protocol using JSON
Supported programming languagesPython
R
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
C
Java
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesJavaScript
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenonereplication via a shared file systemSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usedACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnonoRoles, resources, and access typessimple password-based access control
More information provided by the system vendor
DatabricksLevelDBRDF4J infoformerly known as SesameRDFoxSequoiadb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksLevelDBRDF4J infoformerly known as SesameRDFoxSequoiadb
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