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DBMS > Databricks vs. IRONdb vs. RDF4J vs. UniData,UniVerse

System Properties Comparison Databricks vs. IRONdb vs. RDF4J vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
IRONdb seems to be discontinued. 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.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument store
Relational DBMS
Time Series DBMSRDF storeMultivalue 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
Score0.69
Rank#230  Overall
#9  RDF stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.databricks.comwww.circonus.com/solutions/time-series-database/rdf4j.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.databricks.comdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperDatabricksCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Rocket Software
Initial release2013201720041985
Current releaseV0.10.20, January 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC
Server operating systemshostedLinuxLinux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesoptional
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.yesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query language (Circonus Analytics Query Language: CAQL)noyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesPython
R
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes, in Luayesyes
Triggersnoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter awarenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usedACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlnonoAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
DatabricksIRONdbRDF4J infoformerly known as SesameUniData,UniVerse
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksIRONdbRDF4J infoformerly known as SesameUniData,UniVerse
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