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DBMS > Databricks vs. PostGIS vs. RDFox vs. WakandaDB

System Properties Comparison Databricks vs. PostGIS vs. RDFox vs. WakandaDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPostGIS  Xexclude from comparisonRDFox  Xexclude from comparisonWakandaDB  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.Spatial extension of PostgreSQLHigh performance knowledge graph and semantic reasoning engineWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Relational DBMS
Spatial DBMSGraph DBMS
RDF store
Object oriented DBMS
Secondary database modelsRelational DBMSRelational 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
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.databricks.compostgis.netwww.oxfordsemantic.techwakanda.github.io
Technical documentationdocs.databricks.compostgis.net/­documentationdocs.oxfordsemantic.techwakanda.github.io/­doc
DeveloperDatabricksOxford Semantic TechnologiesWakanda SAS
Initial release2013200520172012
Current release3.4.2, February 20246.0, Septermber 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0commercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++, JavaScript
Server operating systemshostedLinux
macOS
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesyesno
Secondary indexesyesyes
SQL infoSupport of SQLwith Databricks SQLyesnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
RESTful HTTP API
Supported programming languagesPython
R
Scala
C
Java
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLreplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlyes infobased on PostgreSQLRoles, resources, and access typesyes
More information provided by the system vendor
DatabricksPostGISRDFoxWakandaDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksPostGISRDFoxWakandaDB
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