DBMS > Galaxybase vs. MySQL vs. Oracle Berkeley DB
System Properties Comparison Galaxybase vs. MySQL vs. Oracle Berkeley DB
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|Editorial information provided by DB-Engines|
|Name||Galaxybase Xexclude from comparison||MySQL Xexclude from comparison||Oracle Berkeley DB Xexclude from comparison|
|Description||Scalable, ACID-compliant native distributed parallel graph platform||Widely used open source RDBMS||Widely used in-process key-value store|
|Primary database model||Graph DBMS||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||Document store|
|Developer||Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司||Oracle since 2010, originally MySQL AB, then Sun||Oracle originally developed by Sleepycat, which was acquired by Oracle|
|Current release||Nov 20, November 2021||8.0.32, January 2023||18.1.40, May 2020|
|License Commercial or Open Source||commercial||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||no||no||no|
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|Implementation language||C and Java||C and C++||C, Java, C++ (depending on the Berkeley DB edition)|
|Server operating systems||Linux||FreeBSD|
|Data scheme||Strong typed schema||yes||schema-free|
|Typing predefined data types such as float or date||yes||yes||no|
|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||yes||yes only with the Berkeley DB XML edition|
|SQL Support of SQL||no||yes with proprietary extensions||yes SQL interfaced based on SQLite is available|
|APIs and other access methods||Browser interface|
Graph API (Gremlin)
Proprietary native API
Proprietary native API
|Supported programming languages||Go|
|.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||user defined procedures and functions||yes proprietary syntax||no|
|Triggers||yes||yes only for the SQL API|
|Partitioning methods Methods for storing different data on different nodes||Sharding||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes Relationships in graphs||yes not for MyISAM storage engine||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID not for MyISAM storage engine||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes table locks or row locks depending on storage engine|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes||yes|
|User concepts Access control||Role-based access control||Users with fine-grained authorization concept no user groups or roles||no|
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|3rd parties||SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.|
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|Galaxybase||MySQL||Oracle Berkeley DB|
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