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DBMS > Databricks vs. Hive vs. MonetDB vs. Trafodion

System Properties Comparison Databricks vs. Hive vs. MonetDB vs. Trafodion

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHive  Xexclude from comparisonMonetDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is 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.data warehouse software for querying and managing large distributed datasets, built on HadoopA relational database management system that stores data in columnsTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument 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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitewww.databricks.comhive.apache.orgwww.monetdb.orgtrafodion.apache.org
Technical documentationdocs.databricks.comcwiki.apache.org/­confluence/­display/­Hive/­Homewww.monetdb.org/­Documentationtrafodion.apache.org/­documentation.html
DeveloperDatabricksApache Software Foundation infoinitially developed by FacebookMonetDB BVApache Software Foundation, originally developed by HP
Initial release2013201220042014
Current release3.1.3, April 2022Dec2023 (11.49), December 20232.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoMozilla Public License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++, Java
Server operating systemshostedAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesPython
R
Scala
C++
Java
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infouser defined functions and integration of map-reduceyes, in SQL, C, RJava Stored Procedures
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornone infoSource-replica replication available in experimental statusyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.nono
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksHiveMonetDBTrafodion
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksHiveMonetDBTrafodion
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