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DBMS > Databricks vs. Greenplum vs. PostGIS

System Properties Comparison Databricks vs. Greenplum vs. PostGIS

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGreenplum  Xexclude from comparisonPostGIS  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.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Spatial extension of PostgreSQL
Primary database modelDocument store
Relational DBMS
Relational DBMSSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websitewww.databricks.comgreenplum.orgpostgis.net
Technical documentationdocs.databricks.comdocs.greenplum.orgpostgis.net/­documentation
DeveloperDatabricksPivotal Software Inc.
Initial release201320052005
Current release7.0.0, September 20233.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
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.yesyes infosince Version 4.2yes
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesPython
R
Scala
C
Java
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesuser defined functions
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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 controlfine grained access rights according to SQL-standardyes infobased on PostgreSQL
More information provided by the system vendor
DatabricksGreenplumPostGIS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGreenplumPostGIS
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