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DBMS > Cubrid vs. Databricks vs. Ehcache vs. Solr

System Properties Comparison Cubrid vs. Databricks vs. Ehcache vs. Solr

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDatabricks  Xexclude from comparisonEhcache  Xexclude from comparisonSolr  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 optionsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSDocument store
Relational DBMS
Key-value storeSearch engine
Secondary database modelsSpatial DBMS
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
Score4.89
Rank#67  Overall
#8  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitecubrid.com (korean)
cubrid.org (english)
www.databricks.comwww.ehcache.orgsolr.apache.org
Technical documentationcubrid.org/­manualsdocs.databricks.comwww.ehcache.org/­documentationsolr.apache.org/­resources.html
DeveloperCUBRID Corporation, CUBRID FoundationDatabricksTerracotta Inc, owned by Software AGApache Software Foundation
Initial release2008201320092006
Current release11.0, January 20213.10.0, March 20229.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaJavaJava
Server operating systemsLinux
Windows
hostedAll OS with a Java VMAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typing
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.noyesnoyes
Secondary indexesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyeswith Databricks SQLnoSolr Parallel SQL Interface
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
JCacheJava API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Python
R
Scala
Java.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions and aggregatesnoJava plugins
Triggersyesyes infoCache Event Listenersyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes infoby using Terracotta Serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infosupports JTA and can work as an XA resourceoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
CubridDatabricksEhcacheSolr
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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CubridDatabricksEhcacheSolr
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