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DBMS > Databricks vs. PostGIS vs. StarRocks

System Properties Comparison Databricks vs. PostGIS vs. StarRocks

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPostGIS  Xexclude from comparisonStarRocks  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 PostgreSQLAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelDocument store
Relational DBMS
Spatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.34
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score24.72
Rank#29  Overall
#1  Spatial DBMS
Score1.15
Rank#187  Overall
#87  Relational DBMS
Websitewww.databricks.compostgis.netwww.starrocks.io
Technical documentationdocs.databricks.compostgis.net/­documentationdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperDatabricksThe Linux Foundation infosince Feb 2023
Initial release201320052020
Current release3.4.2, February 20242.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++, Java
Server operating systemshostedLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
MySQL protocol
Supported programming languagesPython
R
Scala
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsuser defined functions
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLhorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlyes infobased on PostgreSQLRole based access control and fine grained access rights
More information provided by the system vendor
DatabricksPostGISStarRocks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksPostGISStarRocks
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