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DBMS > Databricks vs. LevelDB vs. RavenDB vs. RDF4J vs. Trafodion

System Properties Comparison Databricks vs. LevelDB vs. RavenDB vs. RDF4J vs. Trafodion

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonLevelDB  Xexclude from comparisonRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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 valuesOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Transactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Relational DBMS
Key-value storeDocument storeRDF storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series 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
Score3.01
Rank#101  Overall
#17  Document stores
Score0.71
Rank#231  Overall
#9  RDF stores
Websitewww.databricks.comgithub.com/­google/­leveldbravendb.netrdf4j.orgtrafodion.apache.org
Technical documentationdocs.databricks.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdravendb.net/­docsrdf4j.org/­documentationtrafodion.apache.org/­documentation.html
DeveloperDatabricksGoogleHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software Foundation, originally developed by HP
Initial release20132011201020042014
Current release1.23, February 20215.4, July 20222.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoAGPL version 3, commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#JavaC++, Java
Server operating systemshostedIllumos
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or datenonoyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query language (RQL)noyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
ODBC
Supported programming languagesPython
R
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesyesJava Stored Procedures
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction availableACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes 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 controlnoAuthorization levels configured per client per databasenofine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksLevelDBRavenDBRDF4J infoformerly known as SesameTrafodion
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksLevelDBRavenDBRDF4J infoformerly known as SesameTrafodion
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