DBMS > MySQL vs. Oracle Berkeley DB vs. Tibero
System Properties Comparison MySQL vs. Oracle Berkeley DB vs. Tibero
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|Editorial information provided by DB-Engines
|MySQL Xexclude from comparison
|Oracle Berkeley DB Xexclude from comparison
|Tibero Xexclude from comparison
|Widely used open source RDBMS
|Widely used in-process key-value store
|A secure RDBMS, designed for easy portability from Oracle
|Primary database model
|Relational DBMS Key/Value like access via memcached API
|Key-value store supports sorted and unsorted key sets
Native XML DBMS in the Oracle Berkeley DB XML version
|Secondary database models
|Oracle since 2010, originally MySQL AB, then Sun
|Oracle originally developed by Sleepycat, which was acquired by Oracle
|8.3.0, January 2024
|18.1.40, May 2020
|6, April 2015
|License Commercial or Open Source
|Open Source GPL version 2. Commercial licenses with extended functionallity are available
|Open Source commercial license available
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|C and C++
|C, Java, C++ (depending on the Berkeley DB edition)
|C and Assembler
|Server operating systems
|Typing predefined data types such as float or date
|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.
|yes only with the Berkeley DB XML edition
|SQL Support of SQL
|yes with proprietary extensions
|yes SQL interfaced based on SQLite is available
|APIs and other access methods
Proprietary native API
Oracle Call Interface (OCI)
|Supported programming languages
|.Net Figaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others Third-party libraries to manipulate Berkeley DB files are available for many languages
|Server-side scripts Stored procedures
|yes proprietary syntax
|Persistent Stored Procedure (PSM)
|yes only for the SQL API
|Partitioning methods Methods for storing different data on different nodes
|horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
|horizontal partitioning by range, hash, list or composite
|Replication methods Methods for redundantly storing data on multiple nodes
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Foreign keys Referential integrity
|yes not for MyISAM storage engine
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|ACID not for MyISAM storage engine
|Concurrency Support for concurrent manipulation of data
|yes table locks or row locks depending on storage engine
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|no planned for next version
|User concepts Access control
|Users with fine-grained authorization concept no user groups or roles
|fine grained access rights according to SQL-standard (SQL 92, SQL 99)
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