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

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEventStoreDB  Xexclude from comparisonPostGIS  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.Industrial-strength, open-source database solution built from the ground up for event sourcing.Spatial extension of PostgreSQLA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Relational DBMS
Event StoreSpatial DBMSWide column 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
Score1.10
Rank#179  Overall
#1  Event Stores
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.databricks.comwww.eventstore.compostgis.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.databricks.comdevelopers.eventstore.compostgis.net/­documentation
DeveloperDatabricksEvent Store LimitedAlex Kashirin
Initial release2013201220052020
Current release21.2, February 20213.4.2, February 20240.5, April 2021
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPL v2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++
Server operating systemshostedLinux
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyes
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
Secondary indexesyesyes
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocol
Thrift
Supported programming languagesPython
R
Scala
C++
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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 dataACIDACID
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 controlyes infobased on PostgreSQL
More information provided by the system vendor
DatabricksEventStoreDBPostGISSWC-DB infoSuper Wide Column Database
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEventStoreDBPostGISSWC-DB infoSuper Wide Column Database
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