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DBMS > Cubrid vs. Databricks vs. EJDB

System Properties Comparison Cubrid vs. Databricks vs. EJDB

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDatabricks  Xexclude from comparisonEJDB  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPThe 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.Embeddable document-store database library with JSON representation of queries (in MongoDB style)
Primary database modelRelational DBMSDocument store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Websitecubrid.com (korean)
cubrid.org (english)
www.databricks.comgithub.com/­Softmotions/­ejdb
Technical documentationcubrid.org/­manualsdocs.databricks.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.md
DeveloperCUBRID Corporation, CUBRID FoundationDatabricksSoftmotions
Initial release200820132012
Current release11.0, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPLv2
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC
Server operating systemsLinux
Windows
hostedserver-less
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_id
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.noyes
Secondary indexesyesyesno
SQL infoSupport of SQLyeswith Databricks SQLno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
in-process shared library
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Python
R
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions and aggregatesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
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 integrityyesno infotypically not needed, however similar functionality with collection joins possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Locking
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 controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
CubridDatabricksEJDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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CubridDatabricksEJDB
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