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DBMS > Cubrid vs. Databricks vs. FeatureBase vs. Tkrzw

System Properties Comparison Cubrid vs. Databricks vs. FeatureBase vs. Tkrzw

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDatabricks  Xexclude from comparisonFeatureBase  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitecubrid.com (korean)
cubrid.org (english)
www.databricks.comwww.featurebase.comdbmx.net/­tkrzw
Technical documentationcubrid.org/­manualsdocs.databricks.comdocs.featurebase.com
DeveloperCUBRID Corporation, CUBRID FoundationDatabricksMolecula and Pilosa Open Source ContributorsMikio Hirabayashi
Initial release2008201320172020
Current release11.0, January 20212022, May 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaGoC++
Server operating systemsLinux
Windows
hostedLinux
macOS
Linux
macOS
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyesnono
Secondary indexesyesyesno
SQL infoSupport of SQLyeswith Databricks SQLSQL queriesno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
gRPC
JDBC
Kafka Connector
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Python
R
Scala
Java
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions and aggregatesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesnone
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 integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
CubridDatabricksFeatureBaseTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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CubridDatabricksFeatureBaseTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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