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DBMS > Oracle Berkeley DB vs. OrigoDB vs. RisingWave vs. Solr

System Properties Comparison Oracle Berkeley DB vs. OrigoDB vs. RisingWave vs. Solr

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Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonOrigoDB  Xexclude from comparisonRisingWave  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionWidely used in-process key-value storeA fully ACID in-memory object graph databaseA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Object oriented DBMS
Relational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlorigodb.comwww.risingwave.com/­databasesolr.apache.org
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlorigodb.com/­docsdocs.risingwave.com/­docs/­current/­introsolr.apache.org/­resources.html
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleRobert Friberg et alRisingWave LabsApache Software Foundation
Initial release19942009 infounder the name LiveDB20222006
Current release18.1.40, May 20201.2, September 20239.6.1, May 2024
License infoCommercial or Open SourceOpen Source infocommercial license availableOpen SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C#RustJava
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
Docker
Linux
macOS
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoUser defined using .NET types and collectionsStandard SQL-types and JSONyes 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.yes infoonly with the Berkeley DB XML editionno infocan be achieved using .NETnoyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infoSQL interfaced based on SQLite is availablenoyesSolr Parallel SQL Interface
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
PostgreSQL wire protocol
Java API
RESTful HTTP/JSON API
Supported programming languages.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
.NetGo
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesUDFs in Python or JavaJava plugins
Triggersyes infoonly for the SQL APIyes infoDomain Eventsnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnoRole based authorizationUsers and Rolesyes

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Oracle Berkeley DBOrigoDBRisingWaveSolr
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