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DBMS > Cubrid vs. Databricks vs. Ehcache

System Properties Comparison Cubrid vs. Databricks vs. Ehcache

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDatabricks  Xexclude from comparisonEhcache  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.A widely adopted Java cache with tiered storage options
Primary database modelRelational DBMSDocument store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#169  Overall
#78  Relational DBMS
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score5.23
Rank#68  Overall
#8  Key-value stores
Websitecubrid.com (korean)
cubrid.org (english)
www.databricks.comwww.ehcache.org
Technical documentationcubrid.org/­manualsdocs.databricks.comwww.ehcache.org/­documentation
DeveloperCUBRID Corporation, CUBRID FoundationDatabricksTerracotta Inc, owned by Software AG
Initial release200820132009
Current release11.0, January 20213.10.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaJava
Server operating systemsLinux
Windows
hostedAll OS with a Java VM
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-free
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.noyesno
Secondary indexesyesyesno
SQL infoSupport of SQLyeswith Databricks SQLno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
JCache
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Python
R
Scala
Java
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions and aggregatesno
Triggersyesyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta Server
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infosupports JTA and can work as an XA resource
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approach
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
CubridDatabricksEhcache
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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CubridDatabricksEhcache
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