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DBMS > Databricks vs. GeoSpock vs. MonetDB

System Properties Comparison Databricks vs. GeoSpock vs. MonetDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGeoSpock  Xexclude from comparisonMonetDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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 and temporal data processing engine for extreme data scaleA relational database management system that stores data in columns
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsTime 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
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitewww.databricks.comgeospock.comwww.monetdb.org
Technical documentationdocs.databricks.comwww.monetdb.org/­Documentation
DeveloperDatabricksGeoSpockMonetDB BV
Initial release20132004
Current release2.0, September 2019Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC
Server operating systemshostedhostedFreeBSD
Linux
OS X
Solaris
Windows
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.yesno
Secondary indexesyestemporal, categoricalyes
SQL infoSupport of SQLwith Databricks SQLANSI SQL for query only (using Presto)yes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesPython
R
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes, in SQL, C, R
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.nono
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksGeoSpockMonetDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGeoSpockMonetDB
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