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DBMS > Databricks vs. FoundationDB vs. Oracle Rdb vs. PostGIS vs. TinkerGraph

System Properties Comparison Databricks vs. FoundationDB vs. Oracle Rdb vs. PostGIS vs. TinkerGraph

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFoundationDB  Xexclude from comparisonOracle Rdb  Xexclude from comparisonPostGIS  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the 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.Ordered key-value store. Core features are complimented by layers.Spatial extension of PostgreSQLA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument store
Relational DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSSpatial DBMSGraph DBMS
Secondary database modelsRelational 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
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score1.08
Rank#187  Overall
#85  Relational DBMS
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Websitewww.databricks.comgithub.com/­apple/­foundationdbwww.oracle.com/­database/­technologies/­related/­rdb.htmlpostgis.nettinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.databricks.comapple.github.io/­foundationdbwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlpostgis.net/­documentation
DeveloperDatabricksFoundationDBOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20132013198420052009
Current release6.2.28, November 20207.4.1.1, 20213.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoGPL v2.0Open 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++CJava
Server operating systemshostedLinux
OS X
Windows
HP Open VMS
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free infosome layers support schemasFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyes
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.yesnoyesno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLwith Databricks SQLsupported in specific SQL layer onlyyesyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
TinkerPop 3
Supported programming languagesPython
R
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesin SQL-layer onlyuser defined functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityin SQL-layer onlyyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlnoyes infobased on PostgreSQLno
More information provided by the system vendor
DatabricksFoundationDBOracle RdbPostGISTinkerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFoundationDBOracle RdbPostGISTinkerGraph
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