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

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  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.NewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Relational DBMS
Key-value storeRDF storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score0.71
Rank#231  Overall
#9  RDF stores
Score0.48
Rank#260  Overall
#41  Document stores
#121  Relational DBMS
Websitewww.databricks.comgithub.com/­google/­leveldbrdf4j.orgwww.sequoiadb.com
Technical documentationdocs.databricks.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDatabricksGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sequoiadb Ltd.
Initial release2013201120042013
Current release1.23, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemshostedIllumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or datenoyesyes 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 SQLnonoSQL-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
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
.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 nodesyesnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usedDocument 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 wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnonosimple password-based access control
More information provided by the system vendor
DatabricksLevelDBRDF4J infoformerly known as SesameSequoiadb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksLevelDBRDF4J infoformerly known as SesameSequoiadb
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