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DBMS > Databricks vs. PostGIS vs. Ultipa

System Properties Comparison Databricks vs. PostGIS vs. Ultipa

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPostGIS  Xexclude from comparisonUltipa  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 Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelDocument store
Relational DBMS
Spatial DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score102.66
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Score18.94
Rank#30  Overall
#1  Spatial DBMS
Score0.15
Rank#326  Overall
#28  Graph DBMS
Websitewww.databricks.compostgis.netwww.ultipa.com
Technical documentationdocs.databricks.compostgis.net/­documentationwww.ultipa.com/­document
DeveloperDatabricksUltipa
Initial release201320052019
Current release3.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes
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.yesyes
Secondary indexesyesyes
SQL infoSupport of SQLwith Databricks SQLyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesPython
R
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyes infobased on PostgreSQL

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More resources
DatabricksPostGISUltipa
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