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DBMS > Databricks vs. PostGIS vs. Rockset vs. SWC-DB

System Properties Comparison Databricks vs. PostGIS vs. Rockset vs. SWC-DB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPostGIS  Xexclude from comparisonRockset  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 scalable, reliable search and analytics service in the cloud, built on RocksDBA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Relational DBMS
Spatial DBMSDocument storeWide column store
Secondary database modelsRelational DBMSRelational DBMS
Search engine
Time Series 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
Score0.79
Rank#211  Overall
#35  Document stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.databricks.compostgis.netrockset.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.databricks.compostgis.net/­documentationdocs.rockset.com
DeveloperDatabricksRocksetAlex Kashirin
Initial release2013200520192020
Current release3.4.2, February 20240.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++
Server operating systemshostedhostedLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesdynamic typing
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 infoingestion from XML files supportedno
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLwith Databricks SQLyesRead-only SQL queries, including JOINsSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP RESTProprietary protocol
Thrift
Supported programming languagesPython
R
Scala
Go
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual 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 datayesyesyesyes
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.nonono
User concepts infoAccess controlyes infobased on PostgreSQLAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
DatabricksPostGISRocksetSWC-DB infoSuper Wide Column Database
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksPostGISRocksetSWC-DB infoSuper Wide Column Database
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