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DBMS > Databricks vs. PostGIS vs. RisingWave vs. StarRocks

System Properties Comparison Databricks vs. PostGIS vs. RisingWave vs. StarRocks

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPostGIS  Xexclude from comparisonRisingWave  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 PostgreSQLA distributed RDBMS for stream processing, wire-compatible with 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 DBMSRelational DBMS
Secondary database modelsRelational 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
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitewww.databricks.compostgis.netwww.risingwave.com/­databasewww.starrocks.io
Technical documentationdocs.databricks.compostgis.net/­documentationdocs.risingwave.com/­docs/­current/­introdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperDatabricksRisingWave LabsThe Linux Foundation infosince Feb 2023
Initial release2013200520222020
Current release3.4.2, February 20241.2, September 20232.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCRustC++, Java
Server operating systemshostedDocker
Linux
macOS
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesStandard SQL-types and JSONyes
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.yesyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
PostgreSQL wire protocol
JDBC
MySQL protocol
Supported programming languagesPython
R
Scala
Go
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsUDFs in Python or Javauser defined functions
Triggersyesnono
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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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 PostgreSQLUsers and RolesRole based access control and fine grained access rights
More information provided by the system vendor
DatabricksPostGISRisingWaveStarRocks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksPostGISRisingWaveStarRocks
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