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DBMS > Cubrid vs. DuckDB vs. Rockset vs. Spark SQL vs. Sphinx

System Properties Comparison Cubrid vs. DuckDB vs. Rockset vs. Spark SQL vs. Sphinx

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDuckDB  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPAn embeddable, in-process, column-oriented SQL OLAP RDBMSA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processingOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSSearch engine
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitecubrid.com (korean)
cubrid.org (english)
duckdb.orgrockset.comspark.apache.org/­sqlsphinxsearch.com
Technical documentationcubrid.org/­manualsduckdb.org/­docsdocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationRocksetApache Software FoundationSphinx Technologies Inc.
Initial release20082018201920142001
Current release11.0, January 20210.10, February 20243.5.0 ( 2.13), September 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicensecommercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++C++ScalaC++
Server operating systemsLinux
Windows
server-lesshostedLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesdynamic typingyesno
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.nonono infoingestion from XML files supportedno
Secondary indexesyesyesall fields are automatically indexednoyes infofull-text index on all search fields
SQL infoSupport of SQLyesyesRead-only SQL queries, including JOINsSQL-like DML and DDL statementsSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HTTP RESTJDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresJava Stored Proceduresnononono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneAutomatic shardingyes, utilizing Spark CoreSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and organizations can be defined via Rockset consolenono

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More resources
CubridDuckDBRocksetSpark SQLSphinx
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