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DBMS > Oracle Berkeley DB vs. PouchDB vs. RavenDB

System Properties Comparison Oracle Berkeley DB vs. PouchDB vs. RavenDB

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Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonPouchDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionWidely used in-process key-value storeJavaScript DBMS with an API inspired by CouchDBOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.80
Rank#112  Overall
#20  Key-value stores
#3  Native XML DBMS
Score2.70
Rank#114  Overall
#22  Document stores
Score3.47
Rank#95  Overall
#16  Document stores
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlpouchdb.comravendb.net
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlpouchdb.com/­guidesravendb.net/­docs
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software FoundationHibernating Rhinos
Initial release199420122010
Current release18.1.40, May 20207.1.1, June 20195.4, July 2022
License infoCommercial or Open SourceOpen Source infocommercial license availableOpen SourceOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)JavaScriptC#
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenonono
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
Secondary indexesyesyes infovia viewsyes
SQL infoSupport of SQLyes infoSQL interfaced based on SQLite is availablenoSQL-like query language (RQL)
APIs and other access methodsHTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP 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
JavaScript.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoView functions in JavaScriptyes
Triggersyes infoonly for the SQL APIyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnonoAuthorization levels configured per client per database

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More resources
Oracle Berkeley DBPouchDBRavenDB
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