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DBMS > Databricks vs. PostGIS vs. SWC-DB vs. TDSQL for MySQL

System Properties Comparison Databricks vs. PostGIS vs. SWC-DB vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPostGIS  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTDSQL for MySQL  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 high performance, scalable Wide Column DBMSA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelDocument store
Relational DBMS
Spatial DBMSWide column storeRelational DBMS
Secondary database modelsRelational DBMSTime Series DBMSDocument store
Spatial 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
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitewww.databricks.compostgis.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.tencentcloud.com/­products/­dcdb
Technical documentationdocs.databricks.compostgis.net/­documentationwww.tencentcloud.com/­document/­product/­1042
DeveloperDatabricksAlex KashirinTencent
Initial release2013200520202013
Current release3.4.2, February 20240.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0Open Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++
Server operating systemshostedLinuxhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
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.yesyesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocol
Thrift
JDBC
ODBC
Supported programming languagesPython
R
Scala
C++C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.nononono
User concepts infoAccess controlyes infobased on PostgreSQLUsers with fine-grained authorization concept
More information provided by the system vendor
DatabricksPostGISSWC-DB infoSuper Wide Column DatabaseTDSQL for MySQL
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksPostGISSWC-DB infoSuper Wide Column DatabaseTDSQL for MySQL
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