DBMS > Cubrid vs. Oracle Coherence vs. Sphinx vs. STSdb

System Properties Comparison Cubrid vs. Oracle Coherence vs. Sphinx vs. STSdb

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Editorial information provided by DB-Engines
Name	Cubrid  Xexclude from comparison	Oracle Coherence  Xexclude from comparison	Sphinx  Xexclude from comparison	STSdb  Xexclude from comparison
Description	CUBRID is an open-source SQL-based relational database management system with object extensions for OLTP	Oracles in-memory data grid solution	Open source search engine for searching in data from different sources, e.g. relational databases	Key-Value Store with special method for indexing optimized for high performance using a special indexing method
Primary database model	Relational DBMS	Key-value store	Search engine	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.02 Rank #173   Overall #84   Relational DBMS	Score 2.56 Rank #114   Overall #21   Key-value stores	Score 7.23 Rank #61   Overall #8   Search engines	Score 0.01 Rank #359   Overall #56   Key-value stores
Website	cubrid.com (korean) cubrid.org (english)	www.oracle.com/­middleware/­technologies/­coherence.html	sphinxsearch.com	github.com/­STSSoft/­STSdb4
Technical documentation	cubrid.org/­manuals	docs.oracle.com/­en/­middleware/­standalone/­coherence	sphinxsearch.com/­docs
Developer	CUBRID Corporation, CUBRID Foundation	Oracle	Sphinx Technologies Inc.	STS Soft SC
Initial release	2008	2007	2001	2011
Current release	11.0, January 2021	12c, September 2016	3.4.1, July 2021	4.0.8, September 2015
License Commercial or Open Source	Open Source Apache Version 2.0	commercial	Open Source GPL version 2, commercial licence available	Open Source GPLv2, commercial license available
Cloud-based only Only available as a cloud service	no	no	no	no
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Implementation language	C, C++, Java	Java	C++	C#
Server operating systems	Linux Windows	All OS with a Java VM	FreeBSD Linux NetBSD OS X Solaris Windows	Windows
Data scheme	yes	schema-free	yes	yes
Typing predefined data types such as float or date	yes	yes	no	yes primitive types and user defined types (classes)
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no
Secondary indexes	yes	no	yes full-text index on all search fields	no
SQL Support of SQL	yes	no	SQL-like query language (SphinxQL)	no
APIs and other access methods	ADO.NET JDBC ODBC OLE DB	JCache JPA RESTful HTTP API	Proprietary protocol	.NET Client API
Supported programming languages	C C# C++ Go Java JavaScript (Node.js) Perl PHP Python Ruby	.Net C++ Java	C++ unofficial client library Java Perl unofficial client library PHP Python Ruby unofficial client library	C# Java
Server-side scripts Stored procedures	Java Stored Procedures	no	no	no
Triggers	yes	yes Live Events	no	no
Partitioning methods Methods for storing different data on different nodes	none	Sharding	Sharding Partitioning is done manually, search queries against distributed index is supported	none
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	yes, with selectable consistency level	none	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	yes	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	configurable	no	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes optionally	yes The original contents of fields are not stored in the Sphinx index.	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes
User concepts Access control	fine grained access rights according to SQL-standard	authentification to access the cache via certificates or http basic authentication	no	no
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	Cubrid	Oracle Coherence	Sphinx	STSdb
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