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DBMS > BaseX vs. Databricks vs. QuestDB vs. RDF4J vs. TinkerGraph

System Properties Comparison BaseX vs. Databricks vs. QuestDB vs. RDF4J vs. TinkerGraph

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonDatabricks  Xexclude from comparisonQuestDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.The 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 high performance open source SQL database for time series dataRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelNative XML DBMSDocument store
Relational DBMS
Time Series DBMSRDF storeGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#136  Overall
#4  Native XML DBMS
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Score0.12
Rank#344  Overall
#34  Graph DBMS
Websitebasex.orgwww.databricks.comquestdb.iordf4j.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.basex.orgdocs.databricks.comquestdb.io/­docsrdf4j.org/­documentation
DeveloperBaseX GmbHDatabricksQuestDB Technology IncSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20072013201420042009
Current release10.7, August 2023
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava (Zero-GC), C++, RustJavaJava
Server operating systemsLinux
OS X
Windows
hostedLinux
macOS
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes infoschema-free via InfluxDB Line Protocolyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyes
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 indexesyesyesnoyesno
SQL infoSupport of SQLnowith Databricks SQLSQL with time-series extensionsnono
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBC
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
TinkerPop 3
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Python
R
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
PHP
Python
Groovy
Java
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesnoyesno
Triggersyes infovia eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replication with eventual consistencynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDACID for single-table writesACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as welloptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsnono
More information provided by the system vendor
BaseXDatabricksQuestDBRDF4J infoformerly known as SesameTinkerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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