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DBMS > Cubrid vs. OceanBase vs. Sphinx vs. SurrealDB

System Properties Comparison Cubrid vs. OceanBase vs. Sphinx vs. SurrealDB

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonOceanBase  Xexclude from comparisonSphinx  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA distributed, high available RDBMS compatible with Oracle and MySQLOpen source search engine for searching in data from different sources, e.g. relational databasesA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSRelational DBMSSearch engineDocument store
Graph DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitecubrid.com (korean)
cubrid.org (english)
en.oceanbase.comsphinxsearch.comsurrealdb.com
Technical documentationcubrid.org/­manualsen.oceanbase.com/­docs/­oceanbase-databasesphinxsearch.com/­docssurrealdb.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationOceanBase infopreviously Alibaba and Ant GroupSphinx Technologies Inc.SurrealDB Ltd
Initial release2008201020012022
Current release11.0, January 20214.3.0, April 20243.5.1, February 2023v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoCommercial license availableOpen Source infoGPL version 2, commercial licence availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++C++Rust
Server operating systemsLinux
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyes
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyesSQL-like query language (SphinxQL)SQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Proprietary protocolGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresJava Stored ProceduresPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by hash, key, range, range columns, list, and list columns)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardnoyes, based on authentication and database rules

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