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

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPostGIS  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonYTsaurus  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 DBMSYTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument store
Relational DBMS
Spatial DBMSWide column storeDocument store
Key-value store
Secondary database modelsRelational DBMSTime 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
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitewww.databricks.compostgis.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
ytsaurus.tech
Technical documentationdocs.databricks.compostgis.net/­documentationytsaurus.tech/­docs/­en
DeveloperDatabricksAlex KashirinYandex
Initial release2013200520202023
Current release3.4.2, February 20240.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0Open Source infoGPL V3Open Source infoApache License, 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 languageCC++C++
Server operating systemshostedLinuxUbuntu
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
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 indexesyesyes
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query languageYQL, an SQL-based language, is supported
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocol
Thrift
Supported programming languagesPython
R
Scala
C++C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes
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.nonono
User concepts infoAccess controlyes infobased on PostgreSQLAccess Control Lists
More information provided by the system vendor
DatabricksPostGISSWC-DB infoSuper Wide Column DatabaseYTsaurus
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksPostGISSWC-DB infoSuper Wide Column DatabaseYTsaurus
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