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DBMS > MySQL vs. Oracle Berkeley DB vs. Solr

System Properties Comparison MySQL vs. Oracle Berkeley DB vs. Solr

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionWidely used open source RDBMSWidely used in-process key-value storeA widely used enterprise search engine based on Apache Lucene
Primary database modelRelational DBMS infoKey/Value like access via memcached APIKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1267.65
Rank#2  Overall
#2  Relational DBMS
Score2.98
Rank#87  Overall
#15  Key-value stores
#2  Native XML DBMS
Score56.16
Rank#17  Overall
#3  Search engines
Websitewww.mysql.comwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmllucene.apache.org/­solr
Technical documentationdev.mysql.com/­docdocs.oracle.com/­cd/­E17076_05/­html/­index.htmllucene.apache.org/­solr/­resources.html
DeveloperOracle infosince 2010, originally MySQL AB, then SunOracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software Foundation
Initial release199519942004
Current release8.0.19, 202018.1 (Core), June 20188.4.1, January 2020
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infocommercial license availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageC and C++C, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
All OS with a Java VM and a servlet container inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesnoyes infosupports customizable data types and automatic typing
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.yesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infowith proprietary extensionsyes infoSQL interfaced based on SQLite is availableno infosupports limited query time joins
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native API
Java API
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoproprietary syntaxnoJava plugins
Triggersyesyes infoonly for the SQL APIyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL FabricnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replicationcloud/distributed (via Zookeeper)
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoslaves poll the master in predefined intervalls
Foreign keys infoReferential integrityyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineACIDoptimistic locking infoSolr 4
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesno

More information provided by the system vendor

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MySQLOracle Berkeley DBSolr
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