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DBMS > Cubrid vs. Databricks vs. Ultipa vs. YDB

System Properties Comparison Cubrid vs. Databricks vs. Ultipa vs. YDB

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDatabricks  Xexclude from comparisonUltipa  Xexclude from comparisonYDB  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.High performance Graph DBMS supporting HTAP high availability cluster deploymentA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSDocument store
Relational DBMS
Graph DBMSDocument store
Relational DBMS
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
Score0.19
Rank#330  Overall
#30  Graph DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.databricks.comwww.ultipa.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationcubrid.org/­manualsdocs.databricks.comwww.ultipa.com/­documentydb.tech/­en/­docs
DeveloperCUBRID Corporation, CUBRID FoundationDatabricksUltipaYandex
Initial release2008201320192019
Current release11.0, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, Java
Server operating systemsLinux
Windows
hostedLinux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)Flexible Schema (defined schema, partial schema, 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 indexesyesyesyes
SQL infoSupport of SQLyeswith Databricks SQLSQL-like query language (YQL)
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Python
R
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions and aggregatesno
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesActive-passive shard replication
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 integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users
More information provided by the system vendor
CubridDatabricksUltipaYDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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CubridDatabricksUltipaYDB
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